Fault-tolerant Control for Distributed-drive Electric Vehicles Considering Individual Driver Steering Characteristics

Han Zhang, Wanzhong Zhao, Junmin Wang
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引用次数: 1

Abstract

This paper proposes a fault-tolerant control method for distributed-drive electric vehicles (DD-EV) considering individual driver steering characteristics that may vary among human drivers. Both vehicle and driver models are explicitly utilized for the fault-tolerant control design with considerations on modeling inaccuracies. A sliding-mode control scheme is generated to tolerate the DD-EV actuator fault and control the vehicle motions in a tailored cooperation with the specific driver. Such a personalized and fault-tolerant control method can specifically assist the human driver in post-fault vehicle motion control and reduce both physical and mental workloads of the driver. Co-simulation results of the controller using Matlab and CarSlm®indicate that the control law can provide appropriate control assistance to different drivers, achieving effective human-vehicle control cooperation in post-fault vehicle maneuvers.
考虑驾驶员个体转向特性的分布式驱动电动汽车容错控制
本文提出了一种分布式驱动电动汽车(DD-EV)的容错控制方法,该方法考虑了不同驾驶员的个体转向特性。在考虑建模误差的情况下,明确地利用车辆模型和驾驶员模型进行容错控制设计。生成了一种滑模控制方案,以容忍DD-EV执行器故障,并与特定驾驶员进行量身定制的合作控制车辆运动。这种个性化、容错的控制方法能够有针对性地辅助人类驾驶员进行故障后的车辆运动控制,减轻驾驶员的身心负荷。基于Matlab和CarSlm®的联合仿真结果表明,该控制律可以为不同驾驶员提供适当的控制辅助,在故障后车辆机动中实现有效的人车控制协同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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