Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2020, Vol. 11 ›› Issue (4): 503-510.DOI: 10.3969/j.issn.1674-8484.2020.04.010

• Automotive Safety • Previous Articles     Next Articles

Trajectory tracking control of autonomous vehicles with optimized sliding mode control

LI Lei1,2(), LI Jun1,2,*(), ZHANG Shiyi3   

  1. 1. School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China
    2. Chongqing Key Laboratory of Rail Vehicle System Integration and Control (Chongqing Jiaotong University), Chongqing 400074, China
    3. School of Shipping and Naval Engineering, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2020-09-09 Online:2020-12-30 Published:2021-01-04
  • Contact: LI Jun E-mail:lileiCBD@163.com;cqleejun@163.com

Abstract:

A robust controller was proposed with an improved sliding-mode-controller to improve the robustness of autonomous-vehicle trajectory-tracking under various disturbance factors. Designed a sliding-mode-surface instead of a constant sliding-mode- surface by adopting the time-varying error model to shorten the time for the sliding-mode- controller to reach the sliding phase. Simulated an optimized sliding-mode-controller for the driving condition with sliding-mode-surface, the lane change, and the overtaking by using a MATLAB software. The simulation results were compared with that by the unoptimized sliding-mode-controller. The results show that the time is reduced by 33.10% for the optimized sliding-mode-controller to reach the sliding phase; the robustness is increased by 7.44% in the lane change simulation conditions; and the robustness is increased by 10.45% in the overtaking simulation conditions. Therefore, the controller improves the control robustness in the trajectory-tracking control research.

Key words: autonomous vehicles, trajectory tracking, robust control, sliding mode control

CLC Number: