Supervisory Control Strategy for AVs under Unexpected Emergency Conditions

Lingfei Wang, Kai Chen, Lu Yang*, Qingwen Meng

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To avoid subsequent collisions after first post-impact under complicated operating circumstance, a supervisory control framework characterized by hierarchical architecture is proposed for the overactuated ground vehicles. Within such a framework, a supervisor is designed to monitor the motion attitudes after first post-impact, which is used for deciding whether drift control mode or yaw control mode is enabled. After that, two controllers are respectively developed according to the judgement results and vehicular movement, where a direct yaw-moment controller and a longitudinal motion controller based upon sliding mode control technique are presented for yaw control mode. Lastly, a control allocation scheme is constructed to distribute the additional yaw moment and resultant longitudinal force into four wheels as the driving/braking torques using the dynamic distribution scheme method. Finally, two post-impact scenarios i.e., lateral post-impact and offset rear-end post-impact scenarios, are performed on the Carsim-Simulink co-simulation platform to validate the effectiveness of the proposed control scheme and approaches.

源语言英语
主期刊名Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798350340488
DOI
出版状态已出版 - 2023
活动7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023 - Changsha, 中国
期限: 27 10月 202329 10月 2023

出版系列

姓名Proceedings of the 2023 7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023

会议

会议7th CAA International Conference on Vehicular Control and Intelligence, CVCI 2023
国家/地区中国
Changsha
时期27/10/2329/10/23

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