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Automotive Engineering ›› 2023, Vol. 45 ›› Issue (2): 253-262.doi: 10.19562/j.chinasae.qcgc.2023.02.010

Special Issue: 智能网联汽车技术专题-控制2023年

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Robust Control of Path Tracking for Four-Wheel Independent Drive Electric Vehicles

Xinrong Zhang1,Yuhang Tan1,Yifan Jia2(),Jin Huang2,Quanning Xu1   

  1. 1.Chang’an University,Key Laboratory of Road Construction Technology and Equipment of the Ministry of Education,Xi’an  710064
    2.School of Vehicle and Mobility,Tsinghua University,Beijing  100084
  • Received:2022-07-31 Revised:2022-08-29 Online:2023-02-25 Published:2023-02-21
  • Contact: Yifan Jia E-mail:jiayifan@mail.tsinghua.edu.cn

Abstract:

For the characteristics of four-wheel independent drive electric vehicles, such as structural parameters, external disturbance uncertainty, nonlinearity, and over-drive, a hierarchical control framework is proposed to realize the vehicle path tracking control with the coordination of front wheel steering and direct yaw torque control system. Firstly, based on the path tracking kinematics model, the vehicle path tracking problem is transformed into a constrained following problem. Secondly, an adaptive robust upper-layer control algorithm based on constrained following is designed, which can effectively deal with the mismatch problem caused by model uncertainty and external disturbances, and guarantee the consistent boundedness and consistent ultimate boundedness of the closed-loop system. Finally, a quadratic programming-based lower-level allocation algorithm is designed to satisfy the required direct yaw moment. Co-simulation is conducted on the Simulink-Carsim platform. The simulation results of different working conditions show that the designed adaptive robust control algorithm has good path tracking accuracy and robustness.

Key words: autonomous vehicle, vehicle lateral dynamics, path following control, direct yaw moment control, robust control