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Automotive Engineering ›› 2022, Vol. 44 ›› Issue (11): 1665-1675.doi: 10.19562/j.chinasae.qcgc.2022.11.005

Special Issue: 智能网联汽车技术专题-规划&控制2022年

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Path Tracking Strategy for All-Wheel Steering of Multi-axle Heavy-Duty Vehicles Based on Tube MPC

Weichen Wang,Junqiu Li(),Fengchun Sun,Jian Song,Yonghua Wu   

  1. Beijing Institute of Technology,National Engineering Research Center for Electric Vehicle,Beijing  100081
  • Received:2022-04-28 Revised:2022-06-04 Online:2022-11-25 Published:2022-11-19
  • Contact: Junqiu Li E-mail:lijunqiu@bit.edu.cn

Abstract:

An all-wheel steering path tracking strategy based on model predictive control with robust invariant set is proposed for a five-axle heavy-duty vehicle in this paper. Firstly, an all-wheel steering path tracking strategy based on first-axle and fifth-axle steering angle control is put forward to make the multi-axle vehicle more flexible in control, with the lateral force response synchronized and fully utilized. Then with considerations of the uncertainty of tire parameters and the bounded disturbance caused by side-wind in the control model, the Tube MPC is used to solve the path tracking problem. Meanwhile, a simplified minimum robust positively invariant set (mRPI) based on support function calculation is adopted to replace the general Minkowski sum-based mRPI operation, effectively saving the offline computation time of mRPI, reducing the number of vertices in the invariant set, and ensuring the online implementation of Tube MPC. Finally, a hardware-in-the-loop simulation is carried out with a result verifying that the Tube MPC-based all-wheel steering strategy proposed has higher path tracking accuracy and vehicle stability and stronger robustness when facing unknown disturbance, compared with ordinary all-wheel steering strategy.

Key words: five-axle heavy-duty vehicle, Tube MPC, all-wheel steering, path tracking, minimum robust positively invariant set