List of Articles Suspension system

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  1 - the vibration Reduction in the vehicle’s body caused by Road Turbulences using Adaptive Neuro – Fuzzy Controller (ANFIS)
  سپیده Heydari امین Ramezani مجید Naserian
  In 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 More

  In 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
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  2 - Pareto Optimal Design of Passive and Active Vehicle Suspension Models
  Mohammadjavad Mahmoodabadi Seyed Mehdi Mortazavi Yazdi
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  3 - Analysis of Off-road Performance for a Tracked Vehicle
  MohamadReza Elhami
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  4 - A New Design for Active Isolation of Patient's Compartment from Ambulance Body using the Adaptive Control Method
  Aliasghar Meraji Saied Mahjoub Moghadas
  10.30486/admt.2022.1942823.1319
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  5 - Biogeography-based Optimized Adaptive Neuro-Fuzzy Control of a Nonlinear Active Suspension System
  Ali Fayazi Hossein Ghayoumi Zadeh
  10.52547/mjtd.11.1.43
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  6 - Optimization of electromagnetic damper and suspension system of vehicle using bee’s algorithm
  saeed yaghoubi علی رضا اطمینانی اصفهانی افشین قنبرزاده
  In this study, electromagnetic damper using the model of one-fourth vehicle with two degrees of freedom, and the model of one-half with four degrees of freedom, and the effects of improving the function of suspension system have been investigated. Using the bee’s More

  In this study, electromagnetic damper using the model of one-fourth vehicle with two degrees of freedom, and the model of one-half with four degrees of freedom, and the effects of improving the function of suspension system have been investigated. Using the bee’s optimization algorithm two phases, the simulated model, then, has been optimized. In the first phase, the constants of electro-magnetic damper have been optimized, and the parameters of suspension system have been assumed fixed. In the second phase, the parameters of suspension system have also been optimized beside the constants of electro-magnetic damper. In both phases, the size of optimized parameters using complex input including ten sine inputs with different amplitude and one step input have been earned, and eventually the size of Integral of Absolute Error according to different inputs has been calculated. In order to determine the final function in the optimization, IAE has been used, which has its aim in minimizing the space below the diagram (vehicle movement). The results indicate that the size of the final fuction is lower in comparison with the one-fourth model. The size of final function is lower in the second way of optimization; for instance, due to exetring sine input with the amplitude of 5, the size of this function for the one-fourth model and the one-half model was 0.293 and 0.283 for the first model; and 0.261 and 0.255 for the second one respectively. Manuscript profile
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  7 - Improvement of adaptive neuro-fuzzy controller using by fuzzy clustering means algorithm for control of vehicle suspension system
  Gholamreza Bamimohamadi Mehdi Salehi
  Suspension system is an important part of vehicle whose main role is to separate the vehicle body from road induced vibrations. Design and control of a suspension system that can adapt to different road conditions with high flexibility is essential. In this study, data More

  Suspension system is an important part of vehicle whose main role is to separate the vehicle body from road induced vibrations. Design and control of a suspension system that can adapt to different road conditions with high flexibility is essential. In this study, data were collected from three types of road conditions with different roughness coefficients in various forward speeds for training a suspension model. Primarily, dynamic equations were derived for a linear full model suspension system. Then, with the use of fuzzy system simulation data, two adaptive neuro-fuzzy controllers namely Grid Partitioning and Fuzzy Clustering were trained. Finally, four methods were evaluated and the results showed that decrease in linear deflection and acceleration of vehicle body is higher in adaptive neuro-fuzzy controller by Subtractive Clustering compared to other systems. Manuscript profile
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  8 - کنترل سیستم تعلیق نیمه فعال بر اساس مدل اصلاح شده بینگهام با استفاده از دمپر MR دمبل نمونه اولیه
  سید حمید موسوی
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