摘要
提出一种基于混沌免疫进化算法的1/4汽车主动悬架控制方法.在免疫进化算法的基础上,利用混沌运动的特点,对初始种群混沌初始化,且根据个体评价值对群体进行不同幅度的混沌载波,既可保护优秀个体,又可进行遍历搜索,跳出局部极小值,达到快速寻优的效果.仿真结果表明:与免疫进化控制比较,采用混沌免疫进化控制,汽车的平顺性和安全性得到了更好的改善.
Based on chaos and immune evolutionary algorithm, a control method was proposed to control the active suspension of a quarter car. Immune evolution-based algorithm makes use of the property of chaos motion. Its initial population was generated by chaos initialization, and carriesd different amplitude chaotic waves accord- ing to antibody＇s evaluation value. This not only protects the excellent antibody but also search all over. Simulation results show that the control based on chaos and immune evolution can improve the ride cornfortness and maneuverability more effectively than immune evolution control.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2008年第5期31-35,共5页
Journal of Hunan University:Natural Sciences
基金
湖南省自然科学基金资助项目(06JJ50089)
湖南大学校重点基金项目
关键词
汽车工程
主动悬架
混沌免疫进化算法
控制方法
automobile engineering
active suspension
chaos-immune evolutionary algorithm
control algorithm
