Hierarchical control for path tracking of autonomous vehicles

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

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number6426602
Pages (from-to)5619-5624
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: 10 Dec 201213 Dec 2012

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