Fuzzy-PID Control Strategy for Active Suspension based on Optimal Control Laws Using Genetic Algorithm

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Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (22) : 157-162.

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Fuzzy-PID Control Strategy for Active Suspension based on Optimal Control Laws Using Genetic Algorithm

WANG Wei1 XUE Yanbing2 SONG Yuling1

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Abstract

The main evolutive tendency of the automotive suspension system in the future is called active suspension. Automobile active suspension is able to adjust or produce controlling force according to the vibration of bodywork. So it can maintain the optimal function of vehicle suspension. How to design the control law is the key problem which can produce the optimal control force and improve the ride of vehicle. In allusion to this problem, taking the vertical vibration accelerator of the bodywork as control objective, GA method and fuzzy-PID control strategy are mixed together, and the control law of fuzzy-PID controller is optimized. Based on GA optimizational fuzzy-PID control method, vehicle active suspension is controlled and an associated simulation model is established using Matlab code and Simulink diagram. Simulation results show that the active suspension with fuzzy-PID control strategy which control rules are optimized by genetic algorithm could significantly suppress the vibration of the body and improve vehicle ride comfort.

Key words

automobile active suspension / vertical vibration accelerator / genetic algorithm optimization / fuzzy-PID control

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WANG Wei XUE Yanbing SONG Yuling. Fuzzy-PID Control Strategy for Active Suspension based on Optimal Control Laws Using Genetic Algorithm[J]. Journal of Vibration and Shock, 2012, 31(22): 157-162