Fuzzy PID Control of Semi-active Suspension Based on Grey Wolf Algorithm
In order to further meet people's demand for vehicle ride comfort and driving comfort,a fuzzy PID controller for automobile semi-active suspension is designed.According to the suspension system characteristics and expert experience,the appropriate fuzzy control rule table is selected,and the gray wolf algorithm is used to optimize the quantization factor and scale factor of the fuzzy PID controller.In the Matlab/Simulink environment,the Gauss white noise method is used to establish the road excita-tion model as the input of the suspension system.Through the simulation experiment,the passive sus-pension without active control force and the semi-active suspension with fuzzy control are compared and analyzed.The data show that after using the fuzzy PID control strategy based on grey wolf algorithm op-timization,the three performance indexes of tire dynamic displacement,suspension dynamic stroke and body vertical acceleration of the vehicle suspension system are investigated.Compared with the passive suspension system without active control force,it decreased by 19.23 ％,6.09 ％ and 74.36 ％ respec-tively,while the fuzzy control strategy only decreased by 16.89 ％,3.35 ％ and 61.81 ％.The simulation data verify that the suspension performance of the vehicle is greatly improved after using the proposed control strategy.
semi-active suspensionfuzzy PID controlgrey wolf algorithmride comfort
万方数据
维普
