Robust lateral control of autonomous four-wheel independent drive electric vehicles considering the roll effects and actuator faults

被引:45
|
作者
Guo, Jinghua [1 ,2 ,3 ]
Wang, Jingyao [1 ,3 ]
Luo, Yugong [2 ]
Li, Keqiang [2 ]
机构
[1] Xiamen Univ, Sch Aerosp Engn, Xiamen, Fujian, Peoples R China
[2] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing, Peoples R China
[3] Xiamen Univ, Shenzhen Res Inst, Xiamen, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
Autonomous electric vehicles; Lateral control; Takagi-Sugeno fuzzy model; Roll effects; Actuator faults; YAW-MOMENT CONTROL; TRACKING CONTROL; PREVENTION; MOTION;
D O I
10.1016/j.ymssp.2020.106773
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a robust lateral control system with fuzzy state observer based on Takagi-Sugeno fuzzy model of autonomous four-wheel independent drive electric vehicles (A-4WDEVs) considering the roll effects and actuator faults. Firstly, a Takagi-Sugeno fuzzy model of A-4WDEVs with uncertainties, time-varying parameters and actuator faults is presented, which can describes the coupling lateral and roll dynamic features of A-4WDEVs. Then, a robust H-infinity state feedback lateral control system of A-4WDEVs is proposed to deal with the characteristics of uncertainties and external disturbance and produce the desired front wheel steering angle and external yaw moment of A-4WDEVs. Next, the control allocation law of additional longitudinal tire forces of A-4WDEVs is reviewed as a quadratic programming problem to achieve the desired external yaw moment. Furthermore, a Takagi-Sugeno fuzzy observer is designed to estimate the roll angle and roll angle rate of A-4WDEVs in real time. Finally, simulation and experimental results are provided to demonstrate the effectiveness of the proposed control scheme. (C) 2020 Published by Elsevier Ltd.
引用
收藏
页数:17
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