江苏大学学报（自然科学版）2024，Vol.45Issue(1)：8-15,8.DOI:10.3969/j.issn.1671-7775.2024.01.002
基于遗传算法的汽车主动悬架变论域模糊PID控制
Variable universe fuzzy PID control for vehicle active suspension based on genetic algorithm
摘要
Abstract
The variable universe fuzzy proportional-integral-differential(PID)control method based on genetic algorithm(GA)was proposed for the quarter-car active suspension system.Based on the establishment of the active suspension system model,the fuzzy PID controller was designed by introducing the idea of variable universe.To further improve the vibration attenuation effect of the controller,GA was employed to optimize the parameters in description functions of the expansion factor for variable universe.The simulation results show that compared with PID,fuzzy PID and unoptimized variable universe fuzzy PID control methods,the GA-based variable universe fuzzy PID method has superiority for reducing the vertical acceleration of the vehicle body and improving the ride comfort.The proposed control method has strong robustness against uncertainties of sprung mass and vehicle speed.关键词
汽车主动悬架/模糊PID控制/变论域/遗传算法/伸缩因子Key words
vehicle active suspension/fuzzy PID control/variable universe/genetic algorithm/expansion factor分类
交通工程引用本文复制引用
薛文平,张春玲..基于遗传算法的汽车主动悬架变论域模糊PID控制[J].江苏大学学报（自然科学版）,2024,45(1):8-15,8.基金项目
国家自然科学基金资助项目(51705206) （51705206）
江苏大学高级人才科研启动基金资助项目(14JDG168) （14JDG168）
