A fuzzy control strategy and optimization for four wheel steering system

被引：0
|
作者：
Zhang, Jie [1 ]
Zhang, Yunqing [1 ]
Chen, Liping [1 ]
Yang, Jingzhou [2 ]
机构：
[1] Huazhong Univ Sci & Technol, Ctr Comp Aided Design, Wuhan 430074, Hubei, Peoples R China
[2] Univ Iowa, Ctr Comp Aided Design, Iowa City, IA 52246 USA
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY, PROCEEDINGS | 2007年
关键词：
four-wheel steering; fuzzy control; multi-body; genetic algorithm;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a fuzzy logic control strategy on four-wheel steering(4WS) vehicle based on a multi-body vehicle dynamic model. The multi-body vehicle dynamic model based on ADAMS can accurately predict the dynamics performance of the vehicle. Fuzzy logic is applied to track the yaw velocity of the two degrees of freedom ideal model through the co-simulation of ADAMS and Matlab Fuzzy control unit with the optimized membership function. The fuzzy control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). Single lane change test is chosen to validate the fuzzy control logic strategy. Simulation result shows that four-wheel steering vehicle with the fuzzy control logic strategy can improve vehicle handling stability greatly comparing with traditional front wheel steering.
引用
收藏
页码：213 / +
页数：2
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