List of Articles حامد خدادادی

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  1 - Optimizing the Control of DFIG Based Wind Turbines Using Sensitivity Analysis and Particle Swarm Optimization Method
  Meysam Jaberolansar Mohammad Mahdi Rezaei Hamed Khodadadi Seyed Mohammad Madani
  10.30486/teeges.2022.1963760.1025
  One of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of the More

  One of the key issues in the optimal operation of DFIG-based wind turbines is the optimization of relatively large control parameters that exist in these systems. However, the main problem is the high number of control parameters and the nonlinearity of the model of these systems, which makes solving the optimization problem very time-consuming and divergent in some cases. In this article, in order to optimize the control parameters, a method based on particle swarm optimization (PSO) is proposed. In this method, after linearization of the system model, the eigenvalues of the system are extracted as a function of the control parameters. By examining the sensitivity of eigenvalues to control parameters, more sensitive parameters are identified and optimized based on the PSO method. The performance of the proposed method has been investigated through simulation in the MATLAB software environment. Manuscript profile
• Open Access Article
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  2 - Position Control of an Electrohydraulic Servo System Based on Sliding Mode Adaptive Fuzzy Controller
  Hamid Ghadiri Hamed Khodadadi
  10.30486/teeges.2023.1981036.1066
  Electro-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 More

  Electro-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