Fuzzy PID Control of Vehicle Suspension Seat Optimized by Particle Swarm Algorithm
Aiming at addressing the vibration problem of vehicle suspension seat,a three-degree-of-freedom 1/4 vehicle active suspension seat system model and a road profile model were established based on ADAMS/View and MATLAB/Simulink platforms,and a control method using particle swarm algorithm to optimize fuzzy PID was proposed.This method integrates the standard particle swarm algorithm with the fuzzy PID al-gorithm,optimizing the quantization factor,scale factor and fuzzy rule parameters in the fuzzy PID control through the particle swarm algorithm,to solve the problem of empirical and subjective selection of the fuzzy PID control parameters.The simulation results indicate that,under different vehicle speeds,the seat accelera-tion using particle swarm optimized fuzzy PID control is reduced by more than 16.5％compared to fuzzy PID control,and by over 48.0％compared to passive suspension seats,thereby significantly enhancing the damp-ing effect.
suspension seatparticle swarm algorithmfuzzy PID controlhardware-in-the-loop test
万方数据
维普
