Hierarchical control for path tracking of autonomous vehicles

Changfang Chen*, Yingmin Jia, Junping Du, Jun Zhang

*此作品的通讯作者

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6 引用 (Scopus)
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摘要

This paper studies the path tracking problem for autonomous vehicles in the presence of uncertainties in both tire-road condition and aerodynamic drag. A hierarchical control architecture is adopted, which includes active front wheel steering in combination with low level control of the longitudinal wheel slip. To cope with the unknown and non-uniform road condition parameters appearing in the actuator models, an adaptive law is designed for each wheel, and the wheel longitudinally slipping is required to establish parameter convergence. The stability of the closed-loop system is analyzed by utilizing Lyapunov function approach. Simulation results are included to illustrate the proposed control scheme.

源语言英语
文章编号6426602
页(从-至)5619-5624
页数6
期刊Proceedings of the IEEE Conference on Decision and Control
DOI
出版状态已出版 - 2012
已对外发布
活动51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, 美国
期限: 10 12月 201213 12月 2012

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引用此

Chen, C., Jia, Y., Du, J., & Zhang, J. (2012). Hierarchical control for path tracking of autonomous vehicles. Proceedings of the IEEE Conference on Decision and Control, 5619-5624. 文章 6426602. https://doi.org/10.1109/CDC.2012.6426602