Welcome to Journal of Automotive Safety and Energy,

Journal of Automotive Safety and Energy ›› 2022, Vol. 13 ›› Issue (4): 686-696.DOI: 10.3969/j.issn.1674-8484.2022.04.010

• Intelligent Driving and Intelligent Transportation • Previous Articles     Next Articles

Integrated control strategy for path tracking of human-machineco-driving vehicle

ZHANG Xinrong1(), XU Quanning1, GONG Xinle2,*(), LI Xueyun3, HUANG Jin2,*()   

  1. 1. Chang’an University, Key Laboratory of Road Construction Technology and Equipment of MOE, Xi’an 710064, China
    2. School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
    3. School of Automotive Engineering, Wuhan University of Technology, Wuhan 430070, China
  • Received:2022-03-28 Revised:2022-08-24 Online:2022-12-31 Published:2023-01-01
  • Contact: GONG Xinle,HUANG Jin E-mail:zxrong@chd.edu.cn;xinlegong@gmail.com;huangjin@tsinghua.edu.cn

Abstract:

Aiming at the problems of human-machine co-driving vehicle path tracking control accuracy and vehicle stability that were difficult to guarantee effectively, an integrated control framework was proposed, mainly including active front wheel steering system (AFS) variable ratio curve and path tracking controller based on model predictive control (MPC). In terms of stability control, the AFS variable ratio function considering road adhesion conditions and vehicle speed was constructed to ensure the safety and lateral stability during vehicle path tracking; in terms of path tracking control, the MPC-based path tracking controller was designed to track the target path. Finally, a joint simulation platform based on Carsim / Matlab was built and simulated for verification. The results show that the integrated control strategy can effectively improve the operational stability of the human-machine co-driving vehicle, significantly improve the tracking performance of the vehicle, and weaken the impact of driver driving state fluctuations on vehicle driving safety.

Key words: human-machine co-driving, yaw stability, path tracking, integrated control

CLC Number: