摘要
基于免疫算法,提出了一种模糊控制器的优化设计方法,优化模糊控制器的论域和模糊子集的隶属函数参数,并将其用于1/4汽车主动悬架的模糊控制器的设计中。仿真结果表明:使用该方法优化设计的模糊控制器控制汽车的主动悬架系统,汽车的平顺性和操纵稳定性均有明显改善。
Based on immune algorithm, an optimal design method of fuzzy controller was proposed to optimize the universes of discourse and the parameters of membership functions. The controller was used to control a quarter-car suspension. Simulation results show that the controller designed by immune-based algorithm can effectively improve the ride comfort and maneuverability.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第9期2634-2637,共4页
Journal of System Simulation
关键词
免疫算法
模糊控制器
主动悬架
仿真
immune algorithm
fuzzy controller
active suspension
simulation
