华侨大学学报（自然科学版）2025，Vol.46Issue(1)：23-29,7.DOI:10.11830/ISSN.1000-5013.202405020
粒子群算法优化的车辆悬架座椅模糊PID控制
Fuzzy PID Control of Vehicle Suspension Seat Optimized by Particle Swarm Algorithm
摘要
Abstract
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.关键词
悬架座椅/粒子群算法/模糊PID控制/硬件在环仿真试验Key words
suspension seat/particle swarm algorithm/fuzzy PID control/hardware-in-the-loop test分类
交通工程引用本文复制引用
兰靛靛,甘达,林鸿森,林祖胜..粒子群算法优化的车辆悬架座椅模糊PID控制[J].华侨大学学报（自然科学版）,2025,46(1):23-29,7.基金项目
福建省自然科学基金资助项目(2021J011199) （2021J011199）
