Yaw Stability Control for in-Wheel-Motored Electric Vehicle with a Fuzzy PID Method

被引：0
作者：
Zhou, Hao [2 ]
Chen, Hong [1 ,2 ]
Ren, Bingtao [2 ]
Zhao, Haiyan [1 ,2 ]
机构：
[1] Natl Automobile Dynam Simulat Lab, Changchun 130025, Peoples R China
[2] Jilin Univ, Dept Control Sci & Engn, Changchun 130025, Peoples R China
来源：
2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年
关键词：
EV; Yaw Stability; Fuzzy PID Algorithm; Off-line and Real-time Simulation; INTEGRATED CONTROL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to improve in-wheel-motored electric vehicle(EV) yaw stability, the yaw stability control system based on fuzzy PID controller is carried out in this paper. Firstly, we set up the original models for controller: a 2DOF EV dynamics model and wheels with in-wheel motors model. Secondly, a control system which includes three parts: reference model, upper yaw stability fuzzy PID controller and lower moment distribution controller is designed. Besides, under the help of lookup table, the problem that fuzzy toolbox can't be downloaded into dSPACE is solved. Finally, we run the off-line and real-time simulation on a 8 degrees of freedom(DOF) in-wheel-motored EV model with unitire tire model to verify the effectiveness of the fuzzy MD algorithm.
引用
收藏
页码：1876 / 1881
页数：6
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