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Open Access Article
1 - Offline Auto-Tuning of a PID Controller Using Extended Classifier System (XCS) Algorithm
Ehsan Abbasi Nader Naghavi -
Open Access Article
2 - Quadrotor Control Using Fractional-Order PI^λ D^μ Control
Reham Mohammed -
Open Access Article
3 - Chaotic dynamic analysis and nonlinear control of blood glucose regulation system in type 1 diabetic patients
Saeid Khajehvand Seyed Mahdi Abtahi -
Open Access Article
4 - A MATLAB / SIMULINK BASED FAULT ANALYSIS OF SMALL HYDROPOWER PLANT
Innocent Wofuru Ameze Big-Alabo -
Open Access Article
5 - Performance Evaluation of the Effect of Optimally Tuned IMC and PID Controllers on a Poultry Feed Dispensing System
Jibril Bala Olayemi Olaniyi Taliha Folorunso Tayo Arulogun -
Open Access Article
6 - Design of Optimal Sugeno-type fuzzy Controller for Speed Control of DC Motor Including Drive and Chopper Dynamic Considering Multi-Objective Optimization Using Teaching Learning Optimization Algorithm
ali sedaratnia majid moradi zirkohi najmeh cheraghi shiraziDue to the simple structure of DC motors, these motors have found many applications in industry.Therefore, in this paper, the speed control of DC motor is investigated by considering the dynamics of drive and chopper with Sugeno-type fuzzy controller. A chopper is used MoreDue to the simple structure of DC motors, these motors have found many applications in industry.Therefore, in this paper, the speed control of DC motor is investigated by considering the dynamics of drive and chopper with Sugeno-type fuzzy controller. A chopper is used to control the voltage applied to the DC motor armature. Considering the dynamics of the chopper drive increases the complexity of the system. After designing the fuzzy controller to increase the performance of the control system, the fuzzy controller parameters are adjusted using a teaching-learning-based optimization algorithm. This algorithm is new and one of its features is its small number of parameters. The results show that the fuzzy controller has better performance against changes in system parameters and uncertainties compared to the classic PID controller. Considering the appropriate criterion function, the value of the cost function for the proposed method is 0.2. But with the optimized PID controller about 0.31 which shows a 55% superiority of the proposed method. Manuscript profile -
Open Access Article
7 - Designing Optimal Neural Networks Controller to Regulate and Control the Output Voltage of DC-DC Boost Converters
Mohammad Zaraei Majid Moradi Zirkohi Najmeh Cheraghi ShiraziDue to the many applications of DC to DC converters in electronics, regulating their output voltage is very important. In many applications it is necessary to change the DC voltage from one level to another. DC -DC converters are used for this purpose. The conversion of MoreDue to the many applications of DC to DC converters in electronics, regulating their output voltage is very important. In many applications it is necessary to change the DC voltage from one level to another. DC -DC converters are used for this purpose. The conversion of DC voltage from one level to another is done by switching elements such as transistors and diodes. Recently, the control of these converters has found a special place in scientific texts. Therefore, one of the objectives of this paper is to control and regulate the output voltage of the converter. The controller proposed in this paper to control the DC voltage level of the converter output is an optimized neural network controller with an algorithm based on colonial competition. The proposed controller function is that first the neural network is designed according to the expected goals of the system and then it is optimized by determining a suitable multi-objective benchmark function using the network structure optimization algorithm. This improves the performance of the control system. Because the proper selection of design parameters has a great role in the performance of the neural network that plays the role of controller. The proposed neural network function is to apply the appropriate signal transducer (PWM signal) to the switching elements in order to increase the performance. The results compared to the PID controller indicate the superiority of the proposed method. Manuscript profile -
Open Access Article
8 - Optimization of Proportional Integral Derivative controller Coefficients of Control Brushless Motor Speed with Water Cycle Optimization Algorithm
Habiballah Khodadadi Mostafa Esmaeel beag Najmeh Cheraghi ShiraziBrushless motors are widely used in industrial, domestic and electronic equipment today due to their high reliability, high efficiency, low maintenance and many other advantages. But they also have disadvantages, including electronic commutation, and this requires a spe MoreBrushless motors are widely used in industrial, domestic and electronic equipment today due to their high reliability, high efficiency, low maintenance and many other advantages. But they also have disadvantages, including electronic commutation, and this requires a speed controller (speed) for this type of engine. In recent decades, a large number of speed controllers have been designed to control the speed of brushless motors. Typically, a derivative-integral-proportional controller is the optimal choice for controlling the speed of brushless motors. By designing the parameters of the derivative-integral-proportional control system, the speed of the brushless motors can be controlled. There are many ways to obtain the optimal derivative-integral-proportional control parameters. One of the methods that has been widely used to obtain and design derivative-integral-proportional control parameters are optimization algorithms. Water cycle optimization algorithm is an optimization algorithm that is used to optimize derivative-integral-proportional control parameters. In this paper, the derivative coefficient equal to 0, the integral coefficient equal to 0.2259937 and the proportional coefficient equal to 0.00188894 are obtained which gives the stability index equal to 0.01038433, the rise time equal to0.00962 , settling time equal to 0.01492 , peak time equal to 0.01817 , settling min equal to 0.9059. These results are compared with the results obtained from particle swarm algorithms and genetics and show that the water cycle method is better. Manuscript profile -
Open Access Article
9 - Virtual Inertia Control of Microgrid Consisting of Low Inertia Resources
Sahar Roudi Reza Ebrahimi Mahmood Ghanbari Soheil RanjbarIn this paper, an adaptive concept of virtual generator based controller for dynamic stability of microgrids consisting of low inertia resources. For this purpose, considering a set of energy storage systems dispatched in the network, a controlled islanding scheme MoreIn this paper, an adaptive concept of virtual generator based controller for dynamic stability of microgrids consisting of low inertia resources. For this purpose, considering a set of energy storage systems dispatched in the network, a controlled islanding scheme is provided to dynamically control the microgrid frequency. In this context, based on the concept of center of inertia, the proposed virtual generator scheme is developed through mathematical formulation. Also, from the Inter-area torques evaluated by microgrid control areas in the center of inertia frame are used as input signals of the developed virtual generator based controller. For the energy storage systems, an equivalent dispatch model is provided and developed through the microgrid dynamic model for improving frequency stability during inter-area oscillations. The proposed virtual generator-based controller is an online and non-model-based scheme which controls several microgrid systems together as an integrated network connected to the upstream network. In order to evaluate the ability of the proposed scheme, realtime simulations are carried out on one test system consisting of several microgrids. Numerical results demonstrate the effectiveness of the proposed scheme in increasing system inertia constant resulting in a proper dynamic performance with a high damping ratio in facing severe inter-area oscillation. Manuscript profile -
Open Access Article
10 - Design and simulation of membership fuzzy function generator circuit by assistance of low-power linguistic variables
Hamid Shahbazi Mojdeh Mahdavi Mahdi ZareIn the present study, a low-power power function generator circuit is proposed for fuzzy applications. The proposed power function generator circuit consists of squaring, square root, and analog multiplier circuits. All the circuits are designed in the subthreshold regi MoreIn the present study, a low-power power function generator circuit is proposed for fuzzy applications. The proposed power function generator circuit consists of squaring, square root, and analog multiplier circuits. All the circuits are designed in the subthreshold region to achieve minimum power consumption. The proposed power generator module is based on a fuzzifier circuit, and the analog multiplier circuits are used to adjust the slopes of the fuzzy functions. Besides performing the mentioned adjustments, the proposed circuit can adjust the rising and falling slopes quite separately. Analog multipliers are used in the power generator part to generate desired powers continuously with minimum number of control inputs. The proposed structure is presented in 0.35 μm technology, and the simulation results show that at a supply voltage of 1.3 V, the values of power consumption and error are respectively equal to 0.0036 μw and 0.8%, indicating the improvement of the proposed structure in terms of error and power consumption compared to the best relevant structures in the literature. Manuscript profile -
Open Access Article
11 - Protection of centrifugal compressors by using fuzzy control of anti-surge valve and compressor speed (speed) in combination
hossein karimzadeh Ali Rafiee Alireza MalahzadehThe range of operation of compressors is limited by the surge phenomenon. Surge control is inevitable to deal with this phenomenon. In this paper, a solution to control it with a fuzzy controller using a surge control line and a surge line using a remote control. The sp MoreThe range of operation of compressors is limited by the surge phenomenon. Surge control is inevitable to deal with this phenomenon. In this paper, a solution to control it with a fuzzy controller using a surge control line and a surge line using a remote control. The speed of the compressor is also expressed using the anti-surge valve (in combination). A fuzzy controller is designed to stop the surge according to the compressor model with a high degree of safety. Simulations show the use of these simple controllers compared to classical controllers and their efficiency. Manuscript profile -
Open Access Article
12 - Vehicle tracking and control system using GPS and GSM
Behzad Kadkhodaei Saman KazemiThe purpose of designing this system is to provide a cheap and convenient solution for monitoring and monitoring the route of vehicles by the operator. This system consists of two parts. The main part is installed on the device and receives location information via GPS MoreThe purpose of designing this system is to provide a cheap and convenient solution for monitoring and monitoring the route of vehicles by the operator. This system consists of two parts. The main part is installed on the device and receives location information via GPS equipment and sends it to the receiver via GSM modem. By connecting the receiver to the computer and running google earth software, the movement of the device can be seen In addition, information such as the car is on, relocation, alarm, doors are open or closed, etc. can be received by SMS at the request of the operator. Also, according to the conditions, the necessary commands such as turning off, etc. can be executed by sending an SMS. Manuscript profile -
Open Access Article
13 - the vibration Reduction in the vehicle’s body caused by Road Turbulences using Adaptive Neuro – Fuzzy Controller (ANFIS)
سپیده Heydari امین Ramezani مجید NaserianIn this paper, linear model of vehicle suspension accomplished by PID controller has been used to train the ANFIS system, which is instructed online using the PID controller output error and following the training, the PID controller leaves the loop and then the Adaptiv MoreIn this paper, linear model of vehicle suspension accomplished by PID controller has been used to train the ANFIS system, which is instructed online using the PID controller output error and following the training, the PID controller leaves the loop and then the Adaptive Neural – Fuzzy inference system (ANFIS) takes the responsibility of controlling the system by itself. In case of the alteration of the controlled system parameters, the controller will be re-entered the loop and the network will be re-trained using the new error.An important feature of this technique is that it does not require mathematical model of system components such as actuator, spring, shock absorber, all of which are nonlinear; Jacobian system is not required as well. Finally the functional outputs of the controller (ANFIS) which is trained with the usage of a PID controller is compared with a pure proportional-derivative controller. The results show that the controller has been well designed to meet the wished objectives. Manuscript profile -
Open Access Article
14 - Dynamic Modelling and Control of a Dielectric Elastomer Actuator with Two Degrees of Freedom
Yaser Hesari Shahram Etemadi Haghighi -
Open Access Article
15 - Design of Optimal PID, Fuzzy and New Fuzzy-PID Controller for CANSAT Carrier System Thrust Vector
A. Kosari H. Jahanshahi A. A. Razavi -
Open Access Article
16 - Pareto Optimal Design of Passive and Active Vehicle Suspension Models
Mohammadjavad Mahmoodabadi Seyed Mehdi Mortazavi Yazdi -
Open Access Article
17 - Comparative Study and Robustness Analysis of Quadrotor Control in Presence of Wind Disturbances
Reham Mohammed -
Open Access Article
18 - Design, Modeling and Manufacturing a New Robotic Gripper with High Load Bearing Capability and Robust Control of its Mechanical Arm
vahid Boomeri Hami Tourajizadeh -
Open Access Article
19 - Investigation of the Stability of the Ball and Beam by the PID Controller
Mojtaba Hadipour Ali Hosseinzadeh Mohsen Sadidi -
Open Access Article
20 - Design an Adaptive Sliding Mode Controller for a Class of Underactuated Systems
Hossein Moeinkhah Mohammad Ahmadi Balootaki -
Open Access Article
21 - An Online Trajectory Tracking Control of a Double Flexible Joint Manipulator Robot by Considering the Parametric and Non-Parametric Uncertainty
Alireza Pezhman Javad Rezapour Mohammadjavad Mahmoodabadi -
Open Access Article
22 - Active Control of Shimmy Vibration in Aircraft Nose Landing Gear using Fuzzy and NARMA-L2 Controllers
Milad Yazdanpanah Alireza Nateghi hassan Zare -
Open Access Article
23 - Controller Placement in SDN with Low Latency Using Meta-heuristic Algorithms
Mohammad Erfan Mehrabian Reza Gholamrezaei -
Open Access Article
24 - Dynamic Migration of SDN-based Switches to Distribute Control Layer Load and Increase Efficiency Using Ryu Controller
neda abbasi Shiva KarimiIntroduction: Network needs in today's era include comprehensive improvement of communication and connections with more bandwidth, minimum delay and high throughput. Software-defined networking is one of the most promising modes of future Internet development due to the MoreIntroduction: Network needs in today's era include comprehensive improvement of communication and connections with more bandwidth, minimum delay and high throughput. Software-defined networking is one of the most promising modes of future Internet development due to their centralized planning and management capabilities. The load balancing problem for distributed SDN controllers is one of the fundamental challenges of these networks, and a single centralized controller may cause reliability and scalability problems, and although several controllers can solve these problems, a flexibility mechanism is required for load balancing.Method:Therefore, in this research, a load balancing mechanism is proposed based on the load information strategy, so that each controller in the system periodically reports its load information to other controllers, and the overload controllers of the plan, load infomation They do not collect all other controllers before local decisions are made, which in turn reduces controller resource consumption. A load balancing strategy is proposed in the proposed response time-based scheme for multiple SDN controllers, which takes into account the real-time response time characteristics that change with the controller load. Another key part of the proposed scheme is that all these things are done in the Ryu controller by choosing an appropriate response time threshold and processing multiple overload controllers simultaneously, which can solve the load balancing problem of the SDN control panel of the overload controller well. slow This model proposes to transfer the management of specific switches between controllers.Results: In the simulation, the historical load and the future load of the switches were considered, and a switch migration algorithm with double weight was proposed, which led to a decrease in the frequency of switch migration. Experiments have proven that this scheme can quickly provide load balancing between controllers and reduce the number of switch migrations. The results showed that this design can lead to the migration of the overload controller and quickly reduce the workload of the overload controller. As a result, the proposed scheme can effectively achieve load balancing of multiple SDN controllers with high speed. Manuscript profile -
Open Access Article
25 - Modeling and Analysis of SEPIC Converter Stability by Gray Wolf Multi-Objective Algorithm
Seyed Mohamad Naji Esfahani Seyed Hamid Zahiri Majid DelshadThis paper investigates the closed loop stability of the SEPIC converter using an optimal PID controller; In this model, the parameters are adjusted using the Gray Wolf Multi-Objective (MOGWO) algorithm. The Gray Wolf Multi-Objective Algorithm is a random evolution-insp MoreThis paper investigates the closed loop stability of the SEPIC converter using an optimal PID controller; In this model, the parameters are adjusted using the Gray Wolf Multi-Objective (MOGWO) algorithm. The Gray Wolf Multi-Objective Algorithm is a random evolution-inspired random algorithm that has been widely used in recent years as an optimization technique in power electronics. The state mode average method has been used to model and achieve the transducer-based system transfer function. Therefore, the MOGWO-based PID controller has been studied and implemented in the system to enable the converter stability to be evaluated and compared with conventional PID controllers. To evaluate the stability of the system, various performance parameters such as overtaking percentage, peak time, settling time and peak size have been considered. The impact response of the closed-loop system is obtained by simulation in MATLAB. The performance of the model is evaluated to perform a general comparative analysis of the system. Manuscript profile -
Open Access Article
26 - Improving the Stability of a Power System Including SVC Based on Energy Function Minimization in a Multi-Model Optimal Coordinated Control Structure
Elaheh Pagard Shahrokh Shojaeian Mohammad Mahdi RezaeiIn this paper, the improvement of low frequency oscillation (LFO) damping in a power system including SVC is investigated. To achieve this goal, a new control strategy has been presented in which the multi-model controller is optimized using the linear optimal controlle MoreIn this paper, the improvement of low frequency oscillation (LFO) damping in a power system including SVC is investigated. To achieve this goal, a new control strategy has been presented in which the multi-model controller is optimized using the linear optimal controller (LOC) and the particle swarm algorithm (PSO). The control bank in the multi-model controller includes three LOC controllers that generate optimal signals through the linearization of the nonlinear equations of the system and the minimization of an energy function to be combined by the Bayes recursive algorithm simultaneously to the generator excitation system and SVC. In order to generate an optimal linear signal, Riccati's equation must be solved; Riccati's equation includes two weight matrices Rric and Qric. These matrices elements are optimized by PSO algorithm. The PSO algorithm has calculated the optimal Rric and Qric with two different objective functions of maximizing the eigenvalues and minimizing the area under the speed curve. To evaluate the MMC-LOC-PSO control strategy, the symmetrical three-phase error is applied to the worst bus and the results of these two objective functions are compared. The simulation of the single machine power system has been done by MATLAB. The proposed control strategy, while maintaining stability, also effectively damps the LFOs, in addition, the permanent rotor speed and rotor angle error have also been favorably pushed to zero. Manuscript profile -
Open Access Article
27 - Providing Improved Structure and Adaptive Control Strategy for Solar System with the Ability to Improve Power Quality in Islanded Microgrid
Reza Ghobadi Ghazanfar ShahgholianDue to the ever-increasing price of fossil fuels and growing concerns about environmental pollution, the utilization of renewable resources, such as photovoltaic (PV) systems, has witnessed significant growth. However, the lack of an optimal structure and control strate MoreDue to the ever-increasing price of fossil fuels and growing concerns about environmental pollution, the utilization of renewable resources, such as photovoltaic (PV) systems, has witnessed significant growth. However, the lack of an optimal structure and control strategy for PV systems poses a crucial challenge in fully exploiting their potential capabilities. This article proposes a suitable structure and adaptive control strategy for PV systems, enabling the maximum utilization of PV system capabilities in island microgrids. The proposed control structure and strategy are based on a two-stage converter, facilitating maximum power point tracking in PV, injecting the generated PV power into the microgrid with minimal harmonic levels, and improving the power quality of the microgrid by compensating for harmonic components. In this method, the tasks of the DC/AC converter, including the injection of PV active power into the microgrid, provision of reactive power, and harmonic compensation, are prioritized and managed by considering the current peak limitation to prevent inverter overcurrent. Additionally, an adaptive controller is designed to enhance the accuracy and speed of power control. The proposed structure and strategy have been evaluated by simulating a sample microgrid in MATLAB/Simulink. The simulation results demonstrate that the proposed method enables the PV system to operate at maximum power with minimum harmonic levels, leading to a significant improvement in the speed and accuracy of the control system and enhancing the power quality of the islanded microgrid. Manuscript profile -
Open Access Article
28 - Position Control of an Electrohydraulic Servo System Based on Sliding Mode Adaptive Fuzzy Controller
Hamid Ghadiri Hamed KhodadadiElectro-hydraulic servo systems are one of the most important control systems used in many fields such as industrial automation, numerical control machines, the oil and gas industry. Due to the non-linear behavior of hydraulic system components and the presence of vario MoreElectro-hydraulic servo systems are one of the most important control systems used in many fields such as industrial automation, numerical control machines, the oil and gas industry. Due to the non-linear behavior of hydraulic system components and the presence of various uncertainties in their operation, the modeling and control of these systems face problems. In this paper, a fuzzy adaptive controller based on sliding mode control is proposed to control the position of an electrohydraulic servo system and overcome the uncertainties. The proposed robust controller results in minimal dependence on the system model. The system's stability in the presence of uncertainties has been proved by applying the Lyapunov theory and considering the time-varying nature of the uncertainties. Besides, to approximate the maximum band and the range of uncertainties, an adaptation law has been proposed for its estimation. The simulation results show the reasonable and stable performance of the proposed adaptive fuzzy controller compared to other control methods. Manuscript profile -
Open Access Article
29 - Dynamics of a Running Below-Knee Prosthesis Compared to Those of a Normal Subject
A Ebrahimi Mamaghani H Zohoor K Firoozbakhsh R Hosseini -
Open Access Article
30 - Optimal Locations on Timoshenko Beam with PZT S/A for Suppressing 2Dof Vibration Based on LQR-MOPSO
M Hasanlu A Bagheri -
Open Access Article
31 - Vibration Suppression of Simply Supported Beam under a Moving Mass using On-Line Neural Network Controller
S Rezaei M Pourseifi -
Open Access Article
32 - Simulation of the autonomous robot control system in different geometric conditions of the pipe and the effect of the optimal torque distributor on the energy consumption of the robot
Hosain Mashjoor Koresh Heidari Shirazi In the present research, an autonomous wheeled seven-degree-of-freedom robot with an adaptation mechanism to a passive diameter pipe was designed with the help of Adams software, and after checking the correctness of its movement, by designing a More In the present research, an autonomous wheeled seven-degree-of-freedom robot with an adaptation mechanism to a passive diameter pipe was designed with the help of Adams software, and after checking the correctness of its movement, by designing a fuzzy controller in the Simulink section of the software, the dynamic simulation of its movement in various geometric conditions such as straight and vertical pipes, elbows, pipes with reducers, deposits and corrosion were investigated. A fuzzy controller was designed to guide this robot inside the tube, and its control system was implemented using direct current motors for each of the robot's wheels. The ability of the fuzzy controller of the robot to follow the desired input speed and its response characteristics in the steady state were investigated, and the presented results showed that the fuzzy controller performs better in following high speeds and has a better transient response at these speeds. Using the optimal torque distribution system, the robot control system is improved and the output signal of the fuzzy controller can be sent to the robot wheels in a targeted way. Therefore, the application of this method caused a significant reduction in the power consumption of the robot and optimization of its energy consumption. This designed robot has a high potential for making an accurate sample, commercialization and responding to the current needs of the country's oil and gas industry due to its less expensive mechanism compared to similar ones. Manuscript profile -
Open Access Article
33 - An Optimized Speed Controller for Brushless DC motor using Hybrid Genetic-Fuzzy Controller Technique
Mohammad Mahdi marzban -
Open Access Article
34 - Optimal Analysis and Design Controller for Suppressing Vibration Smart Timoshenko Beam by Using Various Intervals
مجتبی حسنلو اجمد باقری فرید نجفیThe subject of this study was vibration damping of Timoshenko beam based on finding optimal place and number of piezoelectric sensor and actuator using LQR controller and MOPSO algorithm. Today, researchers make a lot of effort to make a structure have optimized reliabl MoreThe subject of this study was vibration damping of Timoshenko beam based on finding optimal place and number of piezoelectric sensor and actuator using LQR controller and MOPSO algorithm. Today, researchers make a lot of effort to make a structure have optimized reliable life, manufacturing cost, and power consumption. One of the researches on optimized and controlled smart structure is through using piezoelectric sensor and actuator so that the sensor and actuator can adopt the best controlling interest based on the type of approach to design the controller upon receipt of a vibration by sensor and with the transfer of vibration signals to the controller. Then, it can transfer a proper signal to the actuator. In fact, it is the actuator that tries to neutralize the vibrations of the structure in order to have a structure with longer life and lower failure and can meet the designer's objective in the best way. In this study, using MOPSO algorithm and defining the design variables, the best number and location to place the piezoelectric sensor and actuator at the bottom and top the bottom and top cantilever beam in in a specified range can be searched and then an optimal model of smart structure was suggested. Manuscript profile -
Open Access Article
35 - Multivariable Optimal Control of Fuel inlet and IGV Parameters of Gas Turbine via PID-PSO Controller in presence of Noise
Mojtaba HasanluMulti variable control of fuel inlet (FI) and inlet gas vane (IGV) parameters of gas turbine via PID controller in presence of noise, that is discussed in this paper. Nowadays, there is undoubtedly main rules(energy harvesting and high efficiency) of gas turbine in vari MoreMulti variable control of fuel inlet (FI) and inlet gas vane (IGV) parameters of gas turbine via PID controller in presence of noise, that is discussed in this paper. Nowadays, there is undoubtedly main rules(energy harvesting and high efficiency) of gas turbine in various industries. Researchers think and discover about different physical parameters of gas turbine. So, they can present model of complicate gas turbine in order to model should be near reality structure and also gas turbine model has more perfect features. Therefore, fuel FI and IGV are critical parameters for increasing and decreasing efficiency of system of gas turbine, where are effected on power system. In this research, we are modeling and simulating gas turbine in frequency and time domains respectively, for controlling FI and IGV parameters based on PID controller in existence of noise signals. PID coefficients are determined on trail and error approach, in order to system preserve or track its velocity, power and temperature of outlet gas in nominal and reference values. Manuscript profile -
Open Access Article
36 - Reducing Overcurrent and Overvoltage Stresses due to Open-circuiting of UIPC
Javad Pourhossein Gevork B. GharehpetianThe unified interphase power controller (UIPC) is basically a series-type power flow controller that behaves like a current source. Hence, an open-circuit fault at the terminal of this device can result in severe stress. The opening of the device terminal results in a d MoreThe unified interphase power controller (UIPC) is basically a series-type power flow controller that behaves like a current source. Hence, an open-circuit fault at the terminal of this device can result in severe stress. The opening of the device terminal results in a dual-branch parallel circuit in each phase (one RL and one RC), which disconnected from the line, and forms a series RLC circuit locally excited by two series voltage source converters (VSCs). This condition has high circulating current and overvoltage at the midpoint i.e., at the open-circuited terminal of the device. These may cause flashovers and serious damages to the device. In this research, a technique based on the discontinuous control of the device is proposed to overcome the mentioned problems. Based on the technique, the injected voltages of two VSCs are immediately reset to zero after an open-circuit fault so that the circulating current and consequently the overvoltage can be reduced. The evaluation of the proposed technique has been done through computer simulations in the Digsilent software environment and then analyzing the results in the form of a curve. In the following, the analysis and comparison of the results have shown that the proposed technique has high efficiency. It should be noted that this technique can be applied to all members of the UIPC family. Manuscript profile -
Open Access Article
37 - Direct torque control of induction motor with fuzzy logic robust controllers
Ali Khodadadi Mohammad Esmaeil akbari Mohsen Ebadpour Hosein Nasir Aghdam -
Open Access Article
38 - Design of PID Controller for Teleopration System with Genetic Algorithm
Mohammad Esmaeil akbari -
Open Access Article
39 - Design and Implementation of Compressor Controller using Optimized VSD algorithm
Amin Hadidi Payam Fathollahi Rad -
Open Access Article
40 - Optimal Controller for Single Phase Island Photovoltaic Systems
Mohammad Esmaeil akbar Noradin Ghadimi -
Open Access Article
41 - Neuro-PD Controller of Structural System to Mitigate Earthquake Vibrations
Morteza Moradi Leila Fatemi -
Open Access Article
42 - Direct Exact Feedback Linearization based control of the of the Output Voltage in the Minimum phase DC-DC Choppers
Samira Siami Mahdi Salimi -
Open Access Article
43 - Design of a Model Reference Adaptive Controller Using Modified MIT Rule for a Second Order System
Saeed Barghandan Aref DaeiFarshchi -
Open Access Article
44 - Designing Fuzzy Controller for Air Conditioning Systems in order to Save Energy Consumption and Provide Optimal Conditions in Closed Environments (Indoors)
Alireza Soleimanzadeh -
Open Access Article
45 - Lead-Lag Controllers Coefficients
نورالدین قدیمی -
Open Access Article
46 - Electrical Energy Storage on the Hybrid Grid of Renewable Energy System Using Fuzzy Controller Optimization Algorithm
Parviz Ghoflghari Hossein Nasiraghdam -
Open Access Article
47 - A PSO-Based Static Synchronous Compensator Controller
Meisam Mahdavi Ali Nazari Vahid Hosseinnezhad Amin Safari -
Open Access Article
48 - Fuel Cell Voltage Control for Load Variations Using Neural Networks
Zolekh Teadadi Hassan Changiziyan -
Open Access Article
49 - Controller designing for use in laser targets in Paralympics shooting
dorna abedini hamed alipour banaei behzad yasrebi -
Open Access Article
50 - FACTS Control Parameters Identification
Ali Ahmadian Masoud Aliakbar Golkar -
Open Access Article
51 - An overview of aircraft control procedures in the presence of operator failure
Saeed Barghandan Masoud Solouki -
Open Access Article
52 - Nonlinear Modeling and Optimal Output Control of Two Wheeled Balancing Transporter
Reza Babazadeh Ataollah Gogani Khiabani Hadi Azmi -
Open Access Article
53 - Solving Path Following Problem for Car-Like Robot in the Presence of Sliding Effect via LMI Formulation
Masoud Emam Ahmad Fakharian -
Open Access Article
54 - Back-Stepping Sliding Mode Controller for Uncertain Chaotic Colpitts Oscillator with no Chattering
Maryam Ghorbani Hamid Ghadiri -
Open Access Article
55 - Nonlinear Stabilizing Controller for a Special Class of Single Link Flexible Joint Robots
Neda Nasiri Houman Sadjadian Alireza Mohammad Shahri -
Open Access Article
56 - Enhanced Comprehensive Learning Cooperative Particle Swarm Optimization with Fuzzy Inertia Weight (ECLCFPSO-IW)
Mojtaba Gholamian Mohammad Reza Meybodi -
Open Access Article
57 - A New Fuzzy controller for Damping of Sub Synchronous Resonance (SSR) in the modified IEEE First Bench Mark
Yaser Bostani saeid jalilzadeh -
Open Access Article
58 - Stochastic analysis of k-out-of-n: G Type of Repairable system in Combination of Subsystems with Controllers and Multi Repair Approach
Vijay Singh P.K Poonia -
Open Access Article
59 - Heartbeat ECG Tracking Systems Using Observer Based Nonlinear Controller
Mina Ali Akbar Semnani Ahmadreza Vali Seyed Mahdi Hakimi vahid behnamgol -
Open Access Article
60 - Flexible Robot Arm Control Using Adaptive Control Structure
Hadi Hasanpour Esmaeil Alibeiki Seyyed Mostafa Ghadami -
Open Access Article
61 - Automatic Control of Anesthesia During Surgery Using Fuzzy Controller
Maryam Goodarzian Mohammad Reza Yousefi Neda Behzadfar -
Open Access Article
62 - Hybrid Fuzzy-PI Control of DFIG Power Associated With a Variable Speed Wind Energy Conversion System
Hedayat Akhbari Javad Mashayekhifard -
Open Access Article
63 - Anti-swing Fuzzy Controller Design for a 3D Overhead Crane
Mohammad Saadat -
Open Access Article
64 - Performance of Distance Relays in the Presence of Distributed Power Flow Controllers
hadi amiri moghadam Mahdiyeh Eslami hadi zayandehroodiRecent efforts to increase the power transmission capacity and increase the level of network stability have increased the use of Flexible AC Transmission Systems elements in the power system. The protective system, which is one of the most important parts of the power s MoreRecent efforts to increase the power transmission capacity and increase the level of network stability have increased the use of Flexible AC Transmission Systems elements in the power system. The protective system, which is one of the most important parts of the power system's operation, is seriously affected by these devices, so their study is considered necessary. Among protection relays, the protection of the distances due to high speed, proper operation in different network conditions are used as the main protection of transmission lines. Consequently, it is inevitable that the lines compensated by flexible AC systems are protected by long-range relays. In this paper, the Distributed Power Flow Controller has been investigated and simulated, and then the effect of these devices on the measured impedance and the characteristic of the disturbance relay is shown. It is also shown in this paper that in addition to the effects of the relay seen on the relay due to changes in the power system, the type of control system and the adjustment of the parameters of these devices will have different effects on the impedance seen by the relay. To investigate the effect of controller distributed power distribution on the protection of the energy transmission distances, as well as the effect of the impedance seen on the relay due to the presence and type of control system that the distributed power controller works with, it uses the PSCAD / EMTDC software for the model These compensator have been used. Manuscript profile -
Open Access Article
65 - Control of a Linear Distillation Column Using Type-2 Fuzzy Method Optimized by Genetic Algorithm
Abbas Asgari Gholam Reza Arab Abbas ChatraeiThe distillation process is important process in the chemical industry and has wide application in industry. Distillation tower is used by chemical engineers as a popular tool to separate materials and is the most common method for separating materials. Keeping constant MoreThe distillation process is important process in the chemical industry and has wide application in industry. Distillation tower is used by chemical engineers as a popular tool to separate materials and is the most common method for separating materials. Keeping constant the product composition in the distillation column is very important from control perspective. Control of these complicated processes need intelligent methods to adopt the appropriate decision for control based on the behavior of the system. Between intelligent methods, fuzzy technique has superior response in complex systems control and so is used in this study. In this article at first, a type-1fuzzy controller is designed for linear model of distillation tower. In design of this Fuzzy controller, genetic algorithm (GA) is used for optimization of fuzzy rules base. It has been shown that the fuzzy controller is better than conventional PI one. Then the type-1 fuzzy controller has been replaced with type-2 fuzzy controller and has been shown that the performance of type-2 is better than type-1 in various points of view. In this study, the MATLAB/SIMULINK software has been used for modeling and implementing the proposed methods. Manuscript profile -
Open Access Article
66 - Simultaneous Design and Simulation of Synergetic Power System Stabilizers and a Thyristor-Controller Series Capacitor in Multi-Machine Power Systems
Arman FattollahiPower system stabilizers (PSSs) are usually utilized for damping synchronous generator torque in order to reduce these oscillations by producing complementary control signals for the generator excitation system.In this study, we used a non-linear power system stabilizer MorePower system stabilizers (PSSs) are usually utilized for damping synchronous generator torque in order to reduce these oscillations by producing complementary control signals for the generator excitation system.In this study, we used a non-linear power system stabilizer based on synergetic control theory and a thyristor-controller series capacitor (TCSC) simultaneously in order to damp electromechanical oscillations and overcome the problems of linear approximation in a non-linear system which limits system stability in a neighborhood of equilibrium. The proposed synergetic combination of power system stabilizers is completely based on a simplified non-linear model of the system. In order to examine the simultaneous effect of these controllers, we investigated the simulation in single- and multi-machine power systems under various turbulences. Simulation results indicated that the simultaneous performance of TCSC and the synergetic power system stabilizer (SPSS) show a high capacity for damping oscillations and improving stability as compared with SPSS and PSS tuned with genetic algorithm (GAPSS) in any non-linear dynamic power system. Manuscript profile -
Open Access Article
67 - Adaptive Fault Compensation Approach for Uncertain Multi Agent Systems
Shohre Sharifian Mahnaz HashemiIn this paper, the compensation controller approach is investigated for uncertain nonlinear multi agent systems. The dynamics of each of the agents includes uncertainties. Meanwhile, the exchange of the information between the agents is done under directed and fixed gra MoreIn this paper, the compensation controller approach is investigated for uncertain nonlinear multi agent systems. The dynamics of each of the agents includes uncertainties. Meanwhile, the exchange of the information between the agents is done under directed and fixed graphs. In this design, nonlinear control method is used to design nonlinear backstepping controller. The systems uncertainties are approximated by using the adaptive control method. To overcome the unpredictable effects of faults occurrence in the considered system actuators, Defective adaptive compensation method is used without any knowing about the fault time, fault type and fault structure. Finally, with the introduction of the new Lyapunov functions and by using the graph theory, the stability of the closed loop system is proved. By presenting a simulated example, the efficiency of the control view presented for nonlinear multi agent systems is shown in the presence of unknown faults in actuators and unknown external disturbances. Manuscript profile -
Open Access Article
68 - Vector Control of Speed and Reactive Power of Brushless Doubly-Fed Induction Generator Based on Nonlinear Control Approach
Davoud Abootorabi Zarchi Hossein Abootorabi Zarchi Hamidreza Mosaddegh Hesar Mohammad Ali SalahmaneshThe brushless doubly fed induction generator (BDFIG) is one of the main members of doubly fed electrical generators which has come close to commercialization in recent years. This generator has some of outstanding features of squirrel cage induction generator and conven MoreThe brushless doubly fed induction generator (BDFIG) is one of the main members of doubly fed electrical generators which has come close to commercialization in recent years. This generator has some of outstanding features of squirrel cage induction generator and conventional synchronous generator, and at the same time, it requires a partially rated converter. One of the major challenges in the evolution of this generator is the problem of controlling it and the necessity of having a suitable and efficient controller to stabilize the generator in the operating speed range. Therefore, in this paper, a comprehensive vector control scheme based on nonlinear control methods is proposed. Accordingly, a reference model controller fulfills the control of rotor speed. In addition, for simultaneous control of reactive power and torque, a combined approach based on sliding mode and PI controllers are used. The simulation results show in presence of the mentioned control structure, the dynamic response of system in different conditions such as change of mechanical input power and reference speed variation is much more appropriate than when a linear controller is used. Manuscript profile -
Open Access Article
69 - Designing Predictive Kinematic Control and Dynamic Robust Control for Path Tracking in a Wheeled Mobile Robot
Fahime Kordi Hamid Reza Reza Alikhani Javad NikoukarIn this paper, we investigate a hybrid controller for wheeled mobile robots in the presence of external disturbances and parametric uncertainty. Robot models include kinematic and dynamic equations of motion. In this paper, in order to reach the final position, the whee MoreIn this paper, we investigate a hybrid controller for wheeled mobile robots in the presence of external disturbances and parametric uncertainty. Robot models include kinematic and dynamic equations of motion. In this paper, in order to reach the final position, the wheeled moving robot must be controlled in such a way that it can follow a reference path. Many studies often use a motion control strategy for the wheeled mobile robot. In this study, the proposed control strategy has two stages including cinematic control and dynamic control. In this regard, first after introducing the kinematic model of the robot, we design a predictive controller for this part and prove it. Then, based on the nonlinear dynamic dynamics of the robot, an adaptive sliding mode dynamic controller is introduced to estimate the disturbances online, automatically adjust the gain of the control and eliminate the umbrella phenomenon completely. Then, the proposed design is analyzed and proved using Lyapanov's theory of stability. According to the proposed adaptive control law, optimal convergence and tracking performance of all signals are guaranteed and tracking errors can converge arbitrarily in finite time to the source. Simulation results have been performed to show the effectiveness of the proposed design using Matlab software. Manuscript profile -
Open Access Article
70 - A Novel Approach for Comprehensive State-space Modeling of the Multilevel Grid Connected Inverters
Hassan Manafi Miralilu Mahdi Salimi Jafar Soltani Adel AkbarimajdIn this paper, a novel approach for comprehensive state-space modelling of the grid connected multi-level inverters is proposed. Details of the developed method is presented using cascaded H-bridge converters, however it can be applied to other topologies of the grid co MoreIn this paper, a novel approach for comprehensive state-space modelling of the grid connected multi-level inverters is proposed. Details of the developed method is presented using cascaded H-bridge converters, however it can be applied to other topologies of the grid connected inverters as well. In multi-level converters, due to their nonlinear characteristic, application of the nonlinear controllers is more beneficial to ensure stability of the system in a wide range of operation. Hence, the state-space model is required to design a nonlinear controller. To achieve converter model, it is divided into some sub-circuits considering different operational intervals in a switching cycle. To verify accuracy and effectiveness of the obtained state-space model, a laboratory setup of a multi-level. Converter with two H-bridges has been designed and implemented. Also, results of the developed state-space model has been compared with the simulation/experimental results of the grid-connected converter. According to the simulation and experimental result, accuracy of the model is verified. It should be noted that all of the simulations have been performed by EMTDC/PSCAD toolbox. Manuscript profile -
Open Access Article
71 - Self-tuning Fuzzy PID Controller for Load Frequency Control in AC Micro-grid with Considering of Input Delay
Rohollah Shahedi Kamel Sabahi Mehdi Tavan Amin HajizadehA micro grid (MG) system that benefits from distributed generation (DG) resources has a non-linear and time-varying nature which encounters the control problem with some difficulties. Also, due to the fact that in the most MG systems the frequency controllers are centra MoreA micro grid (MG) system that benefits from distributed generation (DG) resources has a non-linear and time-varying nature which encounters the control problem with some difficulties. Also, due to the fact that in the most MG systems the frequency controllers are centralized in the control room and, the DGs are located at distances from the control room, the occurrence of delay is undeniable and it should be considered in the design of the controller. For this purpose, a self-tuning fuzzy PID controller has been designed for load frequency control in a MG system in the presence of delay. The designed fuzzy PID controller is a nonlinear controller and can handle the nonlinearities. To deal with the delay in the input of the system, the Ziegler-Nichols like criteria has been utilized to derive the adaptive mechanism which tunes the scaling factors according to the maximum amount of delay in the online manner. The proposed self-tuning fuzzy PID controller has been applied for load frequency control of a time-delay MG system and the simulation results have been compared with the results of fixed structure fuzzy PID controller. The simulation results indicate the efficiency of the proposed controllers in dealing with time-varying delay. Manuscript profile -
Open Access Article
72 - Load Frequency Control in a Hybrid Power System Considering Renewable Energy Sources and Electric Vehicles Using Fractional Order PID Controller Based on Wavelet Neural Network
Abbas-Ali Zamani Seyed Mohammad Kargar Dehnavi Alireza ReisiRestructuring of power systems and integration of different renewable energy sources with complex dynamic behaviors and high structural uncertainties has made the issue of load frequency control more important. For a hybrid power system that includes a thermal power pla MoreRestructuring of power systems and integration of different renewable energy sources with complex dynamic behaviors and high structural uncertainties has made the issue of load frequency control more important. For a hybrid power system that includes a thermal power plant taking into account nonlinear limitations such as the governor dead band and generator rate constraints and renewable energy sources including a wind turbine, solar-thermal power plant, electrolyzer, fuel cell, and plug-in electric vehicle, this paper proposes an adaptive wavelet neural network fractional order PID controller (AWNNFOPID) based on self-recursive wavelet neural networks and fractional order PID controller. To compare the performance of the proposed AWNNFOPID controller, four different scenarios are considered and the simulation results are compared with traditional I, PI, and PID controllers as well as with the optimized FOPID controller. The simulation results show that the proposed AWNNFOPID controller has better performances than the other control strategies used for the studied hybrid power system based on performance indicators such as settling time, rise time, maximum overshoot, maximum undershoot, integral time absolute error (ITAE), and integral absolute error (IAE). Manuscript profile -
Open Access Article
73 - Intelligent Control of UPFC for Enhancing Transient Stability on Multi-Machine Power Systems
Hassan Barati Reza Saki Seyed Saeeidolah MortazaviOne of the benefit of FACTS devices is increase of stability in power systems with control active and reactive power at during the fault in power system. Although, the power system stabilizers (PSSs) have been one of the most common controls used to damp out oscillation MoreOne of the benefit of FACTS devices is increase of stability in power systems with control active and reactive power at during the fault in power system. Although, the power system stabilizers (PSSs) have been one of the most common controls used to damp out oscillations, this device may not produce enough damping especially to inter-area mode and therefore, there is an increasing interest in using FACTS devices to aid in damping of these oscillations. In This paper, UPFC is used for damping oscillations and to enhance the transient stability performance of power systems. The controller parameters are designed using an efficient version of the Takagi-Sugeno fuzzy control scheme. The function based Takagi-Sugeno-Kang (TSK) fuzzy controller uses. For optimization parameters of fuzzy PI controller, the GA, PSO and HGAPSO algorithms are used. The computer simulation results, the effect of UPFC with conventional PI controller, fuzzy PI controller and intelligent controllers (GA, PSO and HGAPSO) for damping the local-mode and inter-area mode of under large and small disturbances in the four-machine two-area power system evaluated and compared. Manuscript profile -
Open Access Article
74 - Reduction of Sub-synchronous Resonances with D-FACTS Devices using intelligent Control ,
Zahra Amini Abbas KargarWhen a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce the MoreWhen a turbine–generator set connect to a long transmission line, may results side effects such as Sub-Synchronous Resonances (SSR). The capabilities of the Distributed Static Series Compensator (DSSC) as a member of the family of D-FACTS can be used to reduce these SSR. To achieve this desired goal, the fuzzy controller, Particle Swarm Optimization (PSO) and artificial neural network is used to control of the DSSC. Particle swarm optimization is designed Based on the Conventional Damping Controller (CDC) and fuzzy logic is designed based on damping controller (FLBDC) and damping control based on artificial neural network trained using the fast pace of changes has been designed. Stability of the system is analysed by simulations in the time domain with performance index (PI). All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system.All simulations are done using Matlab / Simulink software. Case studies show that proposed algorithms can reduce SSR in the system. Manuscript profile -
Open Access Article
75 - Designing and Simulation of a Two-Axis Solar Tracking System by Exact Relations of Solar Angles
Faezeh Esmaili Ranjbar Hasan Fatehi Marj Ghazanfar ShahgholianIn this study, a system has been designed and simulated to track sunlight, which identifies sun location based on the exact relations of solar angles and without any optical sensor. In fact the relations which have been used in this study are far more accurate compared MoreIn this study, a system has been designed and simulated to track sunlight, which identifies sun location based on the exact relations of solar angles and without any optical sensor. In fact the relations which have been used in this study are far more accurate compared to similar cases, because of using the "equation of time" and reducing the tracking time of every 15 minutes. In this system, an economical micro-controller has been used to generate the necessary orders to control system and two stepper motors for powering solar array. By adding a real-time clock IC (RTC) to angle differentiation circuit, dynamic plane has improved. Manuscript profile -
Open Access Article
76 - The Improvement DSTATCOM to Enhance the Quality of Power Using Fuzzy- Neural Controller
Ghazanfar Shahgholian Ebrahim Haghjoo Alireza Seifi Iraj HassanzadehIn this article the performance of a DSTATCOM as an efficient parallel compensator, for obtaining the power indexes has been considered, Then, to improve the performance of DSTATVOM, each of its PI controller has been substituted by a nonlinear fuzzy-neural controller, MoreIn this article the performance of a DSTATCOM as an efficient parallel compensator, for obtaining the power indexes has been considered, Then, to improve the performance of DSTATVOM, each of its PI controller has been substituted by a nonlinear fuzzy-neural controller, based on trial error and derivation of system error. The cause of detorioration of power quality and the method of their compensation, in a distribution network, has been analysed, using Matlab. The simulation results show that, using the fuzzy-neural controller in place of linear controller in DSTATCOM controller, the ability of compensation in the active and reactive power voltage sag, swell and fliker, and reduction of low current and voltage harmonics has been improved cansiderably. Manuscript profile -
Open Access Article
77 - Design of an Optimal Fuzzy Controller for Hover mode of Finite Degree of Freedom a Laboratory Twin Rotor Model
Sina Ameli Alireza Fatehi Mohamad AtaeiA twin rotor model has nonlinear dynamics and it’s a multivariable system. A twin rotor model is an unstable plant with high level of interaction between some of its variables. Therefore, controlling a twin rotor model is very difficult and to control it we must u MoreA twin rotor model has nonlinear dynamics and it’s a multivariable system. A twin rotor model is an unstable plant with high level of interaction between some of its variables. Therefore, controlling a twin rotor model is very difficult and to control it we must use special strategies. A fuzzy controller is a kind of nonlinear controller. It can control a plant without a mathematical model or a poor model. In this paper, we designed a fuzzy controller for a laboratory twin rotor model with finite degree of freedom. The fuzzy controller is designed based on optimal controller strategies. The proposed method has a better performance than state feedback optimal controller. Manuscript profile -
Open Access Article
78 - Designing a Two-Phase BLDC Motor and Finite-Element Analysis of Designing a Controller in Order to Manoeuvre High-Speed Boats in Marine Turbulences
Mehrdad Jafarboland Ehsan Vehedi Ghazanfar ShahgholianHigh speed boats are small kind of boats which are piloted with boatman.These boats are usually used in strategic commissions like military which fast speeds and good manoeuvrability are of essential importance.Rough sea path, marine turbulences and multi input multi ou MoreHigh speed boats are small kind of boats which are piloted with boatman.These boats are usually used in strategic commissions like military which fast speeds and good manoeuvrability are of essential importance.Rough sea path, marine turbulences and multi input multi output nonlinear dynamical model of this boats,make it very difficult to pilot and manoeuvre them.in this paper,.two controller are designed and proposed for pursuing desired path and manoeuvring fast speeds.Fuzzy controller is compared with the result of PID controller. Simulation results also indicate that these proposed controllers have suitable responses and can pilot the boat in the best manner. Manuscript profile -
Open Access Article
79 - Transient Performance Improvement of Wind Turbines with Doubly Fed Induction Generators Using Fractional Order Control Strategy
Samaneh Jenab Bahador Fani Hossein GhasvariApplication of fractional order proportional integral (FOPI) controller to improve transient performance of wind turbine (WT) with Doubly fed induction generator (DFIG) is presented and studied in this paper. By small signal analysis, it is found that the dynamic behavi MoreApplication of fractional order proportional integral (FOPI) controller to improve transient performance of wind turbine (WT) with Doubly fed induction generator (DFIG) is presented and studied in this paper. By small signal analysis, it is found that the dynamic behavior of the DFIG based WT, during the variation of operating conditions, is strongly affected by the stator dynamics. Since the DFIG electrical dynamics are nonlinear, the linear control (PI) scheme cannot work properly under change in wind speed and stator modes are not damped appropriately. The proposed fractional order controller generalizes the conventional integer order PI controller whose integral order are fractional number rather than integer. This expansion can provide more flexibility in achieving control objectives. By time domain simulations, a comparative analysis is made with respect to the standard PI controller to demonstrate effectiveness of the fractional order PI ( ) controller during wind speed perturbation. Manuscript profile -
Open Access Article
80 - Compensation of Actuator’s Saturation by Using Fuzzy Logic and Imperialist Competitive Algorithm in a System with PID Controller
Abbas Ali Zamani Seyed Mohammad Kargar DehnaviPhysical systems always include constraints and limits. Usually, the limits and constraints, in the control systems, are appeared as temperature and pressure limits or pumps capacity. One of the existing limits in the systems with PID controller is associated with the a MorePhysical systems always include constraints and limits. Usually, the limits and constraints, in the control systems, are appeared as temperature and pressure limits or pumps capacity. One of the existing limits in the systems with PID controller is associated with the actuator’s saturation limits. With the saturating of the actuator, the controller’s output and plant’s input will be different and the output signal of controller do not lead the system and their states could not update correctly where this issue makes the system response undesirable. In this paper, by adding a fuzzy compensator that it’s parameters are tuned using imperialist competitive algorithm, the actuator saturation is prevented and the important parameters of the system response, such as setting time and overshoot, are improved. Manuscript profile -
Open Access Article
81 - A General Method for Designing Fractional Order PID Controller
Marzieh Safaei Saeed Hosseinia Mojtaba Hosseini ToodeshkiThe idea of using fractional order calculus in control became apparent when this kind of calculus was accepted as a powerful tool in many applications. This resulted in a new generation of PID controller called fractional order PID Controller, named as Controller. MoreThe idea of using fractional order calculus in control became apparent when this kind of calculus was accepted as a powerful tool in many applications. This resulted in a new generation of PID controller called fractional order PID Controller, named as Controller. controller is more flexible and provides a better response with larger stability region as compared with standard PID controller. This paper presents a simple and reliable method for finding the family of controllers. The required calculations are done in frequency domain based on frequency response of the system and the stability region is specified in the parameters space. This method can be used for time-delay systems and, more generally, for any system with no transfer function. Manuscript profile -
Open Access Article
82 - Using Feedback Error Learning for Control of Electro Hydraulic Servo System by Laguerre
Amir Reza Zare Bidaki Mojtaba Malboobi Seyyed Mohammad Kargar Mehdi Aliyari Shoreh DeliIn this paper, a new Laguerre controller is proposed to control the electro hydraulic servo system. The proposed controller uses feedback error learning method and leads to significantly improve performance in terms of settling time and amplitude of control signal rathe MoreIn this paper, a new Laguerre controller is proposed to control the electro hydraulic servo system. The proposed controller uses feedback error learning method and leads to significantly improve performance in terms of settling time and amplitude of control signal rather than other controllers. All derived results are validated by simulation of nonlinear mathematical model of the system. The simulation results show the advantages of the proposed method for improved control in terms of both settling time and amplitude of control signal. Manuscript profile -
Open Access Article
83 - Neuro-adaptive control in beating heart surgery based on the viscoelastic tissue model
Setareh Rezakhani Mehdi Aliyari Shoorehdeli Azam GhasemiIn this paper, the problem of 3D heart motion in beating heart surgery is resolved by proposing a parallel force-motion controller. Motion controller is designed based on neuro-adaptive approach to compensate 3D heart motion and deal with uncertainity in dynamic paramet MoreIn this paper, the problem of 3D heart motion in beating heart surgery is resolved by proposing a parallel force-motion controller. Motion controller is designed based on neuro-adaptive approach to compensate 3D heart motion and deal with uncertainity in dynamic parameters, while an implicit force control is implemented by considering a viscoelastic tissue model. Stability analysis is proved through Lypanov’s stability theory and Barballet’s lemma. Simulation results, for D2M2 robot, which is done in nominal case and viscoelastic parameter mismatches demonstrate the robust performance of the controller. Manuscript profile -
Open Access Article
84 - Improving of Multivariable PI Controller with a High Gain Structure for an Irregular System by Genetic Algorithm
Seyyed Abed Hosseini Mohammad Bagher Naghibi SistaniThis paper describes an optimal design for multivariable PI controller with a high gain structure for an irregular system by genetic algorithm. PI controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes in the closed loop MoreThis paper describes an optimal design for multivariable PI controller with a high gain structure for an irregular system by genetic algorithm. PI controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes in the closed loop system that have unique characteristics. The slow modes are asymptotically uncontrollable and unobservable; therefore, they have not role in input and output behavior. The closed-loop response is affected only from rapid poles; therefore, the system response will have quick behavior. An essential requirement of this design is that the first Markov parameter of multivariable system (the matrix product CB) must have full rank. If the CB matrix is not full rank, the measurement matrix (M) is used with internal feedback. In this structure, the measurement matrix is chosen using genetic algorithm in order to reach the stable closed-loop system and minimize interference between outputs. The research is implemented on the two kind of different systems. The results show that the response time of PI controller with a high gain structure by genetic algorithms has good behavior in comparison with other methods. Manuscript profile -
Open Access Article
85 - Intelligent Control of Quadrotor Unmanned Helicopter in Hovering Mode
Neda Shamshiri Abbas ChatraeiA Quadrotor helicopter is an unmanned aerial vehicle (UAV). This vehicle has attracted lots of researchers’ attention because of its unique abilities such as being an under-actuated system, vertical take-off and landing, spot movement, more degree of freedom (DOF) MoreA Quadrotor helicopter is an unmanned aerial vehicle (UAV). This vehicle has attracted lots of researchers’ attention because of its unique abilities such as being an under-actuated system, vertical take-off and landing, spot movement, more degree of freedom (DOF) and military and non- military functions. Because of nonlinear and complex dynamic, modeling and controlling this vehicle is one of the most challenging areas in control engineering. In this paper modeling of a Quadrotor will be described using Newton-Euler equations. Stabilizing and controlling of altitude and its attitude are done by three controller including classic PID, Fuzzy- PID and Neural- Fuzzy based on PID. Performances of these controllers are analyzed in the presence of disturbances and mass uncertainties. The main aim of this paper is designing an intelligent PID algorithm which is made by combining fuzzy logic and neural system and it will introduce a Neural- Fuzzy controller which is based on PID. Simulation results are presented by MATLAB software. Manuscript profile -
Open Access Article
86 - Improved Gravitational Search Algorithm (GSA) Using Fuzzy Logic
Omid Mokhlesi Seyed Hamid Zahiri Naser Mehrshad Seyed Mohammad RazaviResearchers tendency to use different collective intelligence as the search methods to optimize complex engineering problems has increased because of the high performance of this algorithms. Gravitational search algorithm (GSA) is among these algorithms. This algorithm MoreResearchers tendency to use different collective intelligence as the search methods to optimize complex engineering problems has increased because of the high performance of this algorithms. Gravitational search algorithm (GSA) is among these algorithms. This algorithm is inspired by Newton's laws of physics and gravitational attraction. Random masses are agents who have searched for the space. This paper presents a new Fuzzy Population GSA model called FPGSA. The proposed method is a combination of parametric fuzzy controller and gravitational search algorithm. The space being searched using this combined reasonable and accurate method. In the collective intelligence algorithms, population size influences the final answer so that for a large population, a better response is obtained but the algorithm execution time is longer. To overcome this problem, a new parameter called the dispersion coefficient is added to the algorithm. Implementation results show that by controlling this factor, system performance can be improved. Manuscript profile -
Open Access Article
87 - Optimal PID Controller Tuning for Multivariable Aircraft Longitudinal Autopilot Based on Particle Swarm Optimization Algorithm
Mostafa Lotfi Forushani Bahram Karimi Ghazanfar ShahgholianThis paper presents an optimized controller around the longitudinal axis of multivariable system in one of the aircraft flight conditions. The controller is introduced in order to control the angle of attack from the pitch attitude angle independently (that is required MoreThis paper presents an optimized controller around the longitudinal axis of multivariable system in one of the aircraft flight conditions. The controller is introduced in order to control the angle of attack from the pitch attitude angle independently (that is required for designing a set of direct force-modes for the longitudinal axis) based on particle swarm optimization (PSO) algorithm. The autopilot system for military or civil aircraft is an essential component and in this paper, the autopilot system via 6 degree of freedom model for the control and guidance of aircraft in which the autopilot design will perform based on defining the longitudinal and the lateral-directional axes are supposed. The effectiveness of the proposed controller is illustrated by considering HIMAT aircraft. The simulation results verify merits of the proposed controller. Manuscript profile -
Open Access Article
88 - Fractional Order PID Controller Design for Level Control of Three Tank System Based on Improved Cuckoo Optimization Algorithm
Meysam Gheisarnezhad Hamed MojallaliFractional-order PID (FOPID) controller is a generalization of standard PID controller using fractional calculus. Compared with the Standard PID controller, two adjustable variables “differential order” and “integral order” are added to the MoreFractional-order PID (FOPID) controller is a generalization of standard PID controller using fractional calculus. Compared with the Standard PID controller, two adjustable variables “differential order” and “integral order” are added to the PID controller.Three tank system is a nonlinear multivariable process that is a good prototype of chemical industrial processes. Cuckoo Optimization Algorithm (COA), that was recently introduced has shown its good performance in optimization problems. In this study, Improved Cuckoo Optimization Algorithm (ICOA) has been presented. The aim of the paper is to compare different controllers tuned with a Improved Cuckoo Optimization Algorithm (ICOA) for Three Tank System. In order to compare the performance of the optimized FOPID controller with other controllers, Genetic Algorithm(GA), Particle swarm optimization (PSO), Cuckoo Optimization Algorithm (COA) and Imperialist Competitive Algorithm (ICA). Manuscript profile -
Open Access Article
89 - Online adaptive neuro-fuzzy controller design to attenuate the seismic responses in a 20-story benchmark structure
Rasoul Sabetahd Seyed Arash Mousavi Ghasemi Ramin Vafaei Poursorkhabi Ardashir Mohammadzadeh Yousef ZandiIn the present research, design of a strong and online adaptive controller in the active cable control system is discussed to overcome the earthquake vibrations of multi-story buildings. Considering all variables as unknown, this study introduces a new type 2 adaptive n MoreIn the present research, design of a strong and online adaptive controller in the active cable control system is discussed to overcome the earthquake vibrations of multi-story buildings. Considering all variables as unknown, this study introduces a new type 2 adaptive neuro-fuzzy controller. Using the MLP neural network (multi-layer perceptrons), Jacobian and the structural system estimation are extracted. This estimated structural system model is implemented into the online controller system in the next step. Adaptive controllers are tuned using a post-propagation algorithm and Extended Kalman Filter and are thus able to control and tune the controllers and the cable system. In this method, a PID controller is also used, which increases the strength and stability of the adaptive neural-fuzzy controller system two against earthquake vibrations. The superiority of the proposed controller system over an online simple adaptive controller is also demonstrated. This controller is utilized as an implicit reference model. In this proposed method, Extended Kalman Filter is innovatively used to tune online controllers. In this research, the performance of both controllers is investigated under the far and near fault field pressures. Based on the numerical results, the adaptive neural-fuzzy controller performs about 21% better than the online simple adaptive controller in minimizing the seismic responses of the structure during an earthquake and reaching the control criteria when the parametric characteristics of the structure change. Manuscript profile -
Open Access Article
90 - Five-Level Reduced-Switch-Count Boost PFC Rectifier with Intelligent Controller
Mohsen Yahyaabadi Ali Asghar Shojaei Saman Toosi Hani Vahedi -
Open Access Article
91 - Optimal Type-2 Fuzzy Controller for Anti-lock Braking Systems
Nahid Ebrahimi Meymand Aliakbar Gharaveisi -
Open Access Article
92 - Optimization of Bang-of-Bang TS-Fuzzy Based via DARLA Technique for ABS System
Nahid Ebrahimi Meymand Aliakbar Gharaveisi -
Open Access Article
93 - Flexible Beam Robust Loop Shaping Controller Design Using Particle Swarm Optimization
Roja Eini -
Open Access Article
94 - A New Concurrency Control algorithm in Temporal Database
Mirsaeid Hosseini Shirvani Mehran Mohsenzadeh Seyed Majid Hosseini Shirvani -
Open Access Article
95 - IPSO-SQP Algorithm for Solving Time Optimal Bang-Bang Control Problems and Its Application on Autonomous Underwater Vehicle
Tahereh Taleshian Abolfazl Ranjbar Noei Reza Ghaderi -
Open Access Article
96 - Multi-Machine Power System Stability Improvement Using a New Fuzzy Wavelet Neural Network Damping Controller
Mohammad Sadegh Payam Ehsan Bijami -
Open Access Article
97 - Multi-objective design of fuzzy logic controller in supply chain
Mahdi Ghane Mohammad Jafar Tarokh Jafar Tarokh -
Open Access Article
98 - An Improved Power Conditioning System Based on Capacitor Current Feedback Active Damping of an LCL-Type Grid-Tied NPC Inverter
Majid Hosseinpour Mohammad Mohsen Rahimian Navid Rasekh -
Open Access Article
99 - Actuator Failures and Sensor Bias Compensation by Combination of Model Reference Adaptive Control & Kalman Filter Theory
Hossein Rahmani Amoli Karim Salahshor -
Open Access Article
100 - A Robust Controller Design for Piezoelectric Positioning Stage with Bouc-Wen Hysteresis Compensator
Abbas Rasaienia Mina Asnaashari Mona Hemmati -
Open Access Article
101 - LDO Optimization with Evolutionary Neural Network
Mahdieh Jahangiri Ali Farrokhi Amir Amirabadi -
Open Access Article
102 - Terminal Sliding Mode Controller for Tracking a Wheeled Mobile Robot
Fahimeh Kordi Hamidreza Reza Alikhani Javad Nikoukar -
Open Access Article
103 - Coordination Between the Automatic Voltage Regulator and Output of the Power System Stabilizer to Increase the Stability Improvement
Majid Salesi-Mousaabadi Ghazanfar Shahgholian -
Open Access Article
104 - Design of a PID-PSS Power System Stabilizer for Single-Machine Infinite-Bus Power System
Mehdi Mahdavian Ali Asghar Amini Mahnaz Hashemi -
Open Access Article
105 - Adaptive Barrier Function based on Sliding Mode Control for High-Order Nonlinear Systems
Hossein Norouzi Javad Mostafaee Hassan Keshavarz Ziarani -
Open Access Article
106 - A Fuzzy Controlled PWM Current Source Inverter for Wind Energy Conversion System
Mehrnaz Fardamiri Seyed Zeinolabedin Moussavi -
Open Access Article
107 - Design of a New IPFC-Based Damping Neurocontrol for Enhancing Stability of a Power System Using Particle Swarm Optimization
Ghazanfar Shahgholian Mehdi Mahdavian Michael Noorani Kalteh Mohammadreza Janghorbani -
Open Access Article
108 - An Innovative System for Full-Management of CB Using Current Injection Method
Mosslem Amiri Masoud Rezaei -
Open Access Article
109 - Novel Adaptive Recurrent Neural Controller based on VSC HVDC Damping Controller to Improve Power System Stability
Naser Taheri -
Open Access Article
110 - Control of DVR by Fuzzy Controller to Improve Voltage in Distribution System
Ali Rezaei Agh oghlan -
Open Access Article
111 - Power System Dynamic Stability Improvement Using PSS Equipped with Microcontroller
Azade Abedini Ghazanfar Shahgholian Bahador Fani -
Open Access Article
112 - Improvement Damping Power System Oscillations by Using Static Synchronous Series Compensator
Majid Dehghani Mehdi Mahdavian Ali Asghar Amini -
Open Access Article
113 - A New Clustering Approach for Efficient Placement of Controllers in SDN using Firefly Algorithm
Azam Amin Mohsen Jahanshahi Mohammadreza Meybodi -
Open Access Article
114 - Robust type-2 Fuzzy Control for Glucose-Level Regulation in Type-I Diabetic Patients
Razieh Zamani Mehdi Siahi Amin Ramezani -
Open Access Article
115 - Variable Speed Wind Turbine Pitch Angle Control Using Three-Term Fuzzy Controller
Ehsan Hosseini Ghazanfar Shahgholian Homayoun Mahdavi-Nasab Farhad Mesrinejad -
Open Access Article
116 - Robust H_2 / H_∞ Multi Objective Controller Design with Takagi-Sugeno Fuzzy Model for a Mobile Two-Wheeled Inverted Pendulum
Davood Allahverdy Ahmad Fakharian -
Open Access Article
117 - Novel Adaptive Damping Controller for Interline Power Flow Controller to Improve Power System Stability
Naser Taheri Hamed Orojlo Hamid Karimi Farhad Ebrahimi Kaveh Khalifeh -
Open Access Article
118 - Reducing Displacement of Spring Mass in Active Vehicle Suspension System Using Sliding Mode Controller Based on Disturbance Observer
Mohammad Vatankhah Mohammad Yousefi Sayyed Mohammad Mehdi Mirtalaei Zahra AlaleThe main cause of oscillation during the movement of the vehicle is the unevenness of the road. Therefore, in order to maintain the stability of the car in swing states, the suspension system plays an essential role. Therefore, the active suspension system is used to re MoreThe main cause of oscillation during the movement of the vehicle is the unevenness of the road. Therefore, in order to maintain the stability of the car in swing states, the suspension system plays an essential role. Therefore, the active suspension system is used to replace the conventional passive suspension system, to improve comfort and smoothness. To reduce the displacement of the spring mass in the active vehicle suspension system, a high-order sliding mode controller is proposed in this paper. Uncertainty of system parameters, nonlinear characteristic of damping and spring, load changes and unknown path disturbance are estimated by disturbance observer. The controller only needs the information of the spring mass state variables and therefore does not need separate sensors to measure the suspension mass state variables. Particle swarm optimization algorithm has been used to determine the control parameters. The efficiency of the proposed method has been shown using simulation in MATLAB software and the results have been compared with the passive suspension system. Manuscript profile -
Open Access Article
119 - A Brief Overview of the Application of Unified Power Flow Controller in Power Systems
Mehdi Riahinasab Majid Dehghani Arman Fathollahi Mohammad Reza Behzadfar -
Open Access Article
120 - Velocity Control of Electro Hydraulic Servo System by Tracking Method
Mohammad Reza Asadi Asad Abad Amir Reza Zare Bidaki Mohsen Jahanshahi -
Open Access Article
121 - Dynamic Demand Management in an Airconditioner System by Frequency Control in Smart Grid Environment
Sevda Allahyari Shahram Javadi -
Open Access Article
122 - Hybrid Fuzzy-PID Application in Boilers to Obtain Optimum Efficiency
Shahram Javadi Abdolreza Gohari -
Open Access Article
123 - Intelligence Method for PID Controller Design in AVR System
Seyyed Amir Hashemi Zadeh1 Mostafa Zamani Mohi Abadi -
Open Access Article
124 - Power Stabilizer Performance Based On Fuzzy Controller Compared To PID Controller
Abbas Seif -
Open Access Article
125 - Design of Fuzzy Logic Based PI Controller for DFIG-based Wind Farm Aimed at Automatic Generation Control in an Interconnected Two Area Power System
Arman Oshnoei Morteza Kheradmandi -
Open Access Article
126 - A New Highly Controllable and Accurate Algorithm for Defuzzifier Circuit Implementation
M Ranjbar F Razaghian -
Open Access Article
127 - Sensorless Vector Control of Linear Induction Motor on Primary and Secondary Flux Oriented based on Fuzzy PI Controller
Mohammad Sarvi Hassan Zamani -
Open Access Article
128 - Delay Dependent H∞ Based Robust Control Strategy for Unified Power Quality Conditioner in a Microgrid
Majid Aryanezhad Elahe Ostadaghaee -
Open Access Article
129 - Design and Implementation of the Predictive Current Control Strategy in the Single Phase Photovoltaic Grid-Connected Inverter Based on Microcontroller
Hamed Javaheri Fard Hamid Reza Najafi Hossein Eliasi -
Open Access Article
130 - Frequency Control of Isolated Hybrid Power Network Using Genetic Algorithm and Particle Swarm Optimization
Mahdie Hasanpour Qadikolai Sina mohammadi -
Open Access Article
131 - Maximum Power Point Tracking of Wind Energy Conversion System using Fuzzy- Cuckoo Optimization Algorithm Strategy
Mohammad Sarvi Mohammad Parpaei -
Open Access Article
132 - Design of Maximum Power Point Tracking in Solar Array Systems Using Fuzzy Controllers
Marjaneh Hashemi Shahram Javadi -
Open Access Article
133 - Coordinated Design of PSS and SSSC Damping Controller Considering Time Delays using Biogeography-based Optimization Algorithm
Javad Gholinezhad Mahmoud Ebaadian Mohammad R. Aghaerrahimi -
Open Access Article
134 - Design of a fuzzy adaptive controller for a ducted fan (UAV)
Meysam Rahimi -
Open Access Article
135 - Dynamic Modeling, Assembly and implementing Quadrotor UAV Using PID Controller
Mahyar Geibollahi Ata Jahangir Moshayedi -
Open Access Article
136 - Design and construction of a unicycle robot controlled by its center of gravity
Masoumeh Zeini Mostafa Pirmoradian -
Open Access Article
137 - Secondary frequency control for improved dynamic performance in interconnected power system
Farhad Mesrinejad Somaye Yaghoubi Bahador Fani -
Open Access Article
138 - Designing LQG controller based on neural network estimator for boiler system
Hamed Khodadadi HAMID Ghadiri -
Open Access Article
139 - تحلیل اجزای محدود مکانیزم ایمنی در یک کنترلکننده مکانیکی
مهدی مساح کورش حسنپور مهرداد پورسینا مهدی سلمانی تهرانی مسیح سنبلستاندر این تحقیق رفتار دینامیکی مکانیزم ایمنی مربوط به یک کنترلکننده بهکمک روش اجزاء محدود سهبعدی شبیهسازی شده و مورد تحلیل و بررسی قرار گرفتهاست. این تحقیق بر روی کنترلکننده مربوط به پرتابههای با شتاب بالا تمرکز دارد. این کنترلکننده از نوع مکانیکی بوده و در نوک پرت Moreدر این تحقیق رفتار دینامیکی مکانیزم ایمنی مربوط به یک کنترلکننده بهکمک روش اجزاء محدود سهبعدی شبیهسازی شده و مورد تحلیل و بررسی قرار گرفتهاست. این تحقیق بر روی کنترلکننده مربوط به پرتابههای با شتاب بالا تمرکز دارد. این کنترلکننده از نوع مکانیکی بوده و در نوک پرتابه قرار میگیرد. در این مکانیزم قطعات به دو دسته صلب و تغییرشکلپذیر تقسیم میشوند. قطعه تغییرشکلپذیر در نرمافزار آباکوس و قطعات صلب در نرمافزار آدامز شبیهسازی میشوند. هدف از انجام این تحقیق بررسی نحوه تغییرشکل پلاستیک قطعه تغییرشکلپذیر یعنی رینگ ایمنی و شبیهسازی عمل چرخیدن روتور یا انجام عمل مکانیزم ایمنی و مدت زمان مورد نیاز برای انجام آن میباشد. همچنین بهدست آوردن زمان و سرعت زاویة مورد نیاز برای آغاز بازشدن رینگ ایمنی و بیرونآمدن پین ایمنی و سرعت زاویة متناظر با شروع چرخش روتور که سوراخ آن با محور سوزن یا سوراخ راهنما همراستا میشود، به عنوان پارامترهای مهم در مکانیزم ایمنی مطرح بوده و مورد بررسی قرار میگیرند Manuscript profile -
Open Access Article
140 - طراحی سیستم سرووی نوع یک و مشاهدهگر مرتبه کامل به روش جایدهی قطب برای یک شیر سروو پیزوالکتریک فاقد انتگرال گیر
مهدیه حامدی هادی همایی خیام صفریدر این مقاله از روش رهیافت کنترل مدرن برای طراحی کنترلر و مشاهدهگر استفاده شده است. عملکرد سایر کنترلرها نظیر عصبی - فازی و یا کشویی کنترل حالت میتواند در ادامه این کار مورد متوجه قرار گیرد و نتایج با هم مقایسه گردد. در ابتدا، برای شیر سروو یک مدل دینامیکی در ن Moreدر این مقاله از روش رهیافت کنترل مدرن برای طراحی کنترلر و مشاهدهگر استفاده شده است. عملکرد سایر کنترلرها نظیر عصبی - فازی و یا کشویی کنترل حالت میتواند در ادامه این کار مورد متوجه قرار گیرد و نتایج با هم مقایسه گردد. در ابتدا، برای شیر سروو یک مدل دینامیکی در نظر گرفته شده و برای آن معادلات حاکم بدست آمده و در فرم فضای حالت بیان شده است. با توجه به این که سیستم بیان شده نوع صفر و فاقد انتگرال گیر است، سیستم سروو نوع یک و مشاهده گر حالت مرتبه کامل به روش جایدهی قطب با معیار قطب های غالب، بسل و ITAE طراحی و مورد بررسی قرار گرفته است. پاسخ به ورودی پله برای سیستم طراحی شده و همچنین پاسخ به شرایط اولیه مشاهدهگر، در منحنی هایی نشان داده شده و مقایسهای بین سیستم های طراحی شده انجام گرفته است Manuscript profile -
Open Access Article
141 - Speed Control of Permanent Magnet Synchronous Motor by Antiwindup PI Controller and Comparison with Fuzzy Controller
Maryam Imanzadeh Adel Akbarimajd -
Open Access Article
142 - Studying Impact of Unified Power Flow Controller on improve transient stability by Improved Harmony Search Algorithm
Mehdi Nafar Mostafa Abbasi Mojtaba Abbasi