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Acta Armamentarii ›› 2025, Vol. 46 ›› Issue (8): 240954-.doi: 10.12382/bgxb.2024.0954

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Bi-level Strategy Trajectory Tracking Control of Multi-axle Articulated Wheeled Vehicle

ZHANG Fawang1, CHEN Liangfa2, DUAN Jingliang2, LIU Hui1, NIE Shida1,*(), ZHANG Chen1   

  1. 1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China
    2. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • Received:2024-10-15 Online:2025-08-28
  • Contact: NIE Shida

Abstract:

Multi-axle articulated wheeled vehicles are prone to occurring “tail amplification” effects and lateral instability during trajectory tracking.The study of stable trajectory tracking for multi-axle articulated wheeled vehicles is of significant importance.For the multi-axle articulated wheeled vehicle,a 7-degree-of-freedom vehicle dynamics model is established,and a bi-level strategy trajectory tracking control method is proposed.The upper-level strategy is used to address the tractor trajectory tracking problem,while the lower-level strategy is used to optimize the trailer trajectory tracking,ensuring precise tracking for both tractor and trailer.To guarantee the real-time computation of the control strategy,the upper-level trajectory tracking strategy is solved using a finite-horizon approximate dynamic programming approach,and the online optimization problem is transformed into an offline pre-solution of parameters,thus reducing the time required for online solving.This approach significantly reduces online computation time.Co-simulation experiments with high fidelity simulation software demonstrate that the proposed method is used to improve the trajectory tracking accuracy of multi-axle articulated wheeled vehicles by 12.82%,and keep a single-step solution time below 10ms,enhancing computational efficiency by three orders of magnitude compared with the model predictive control algorithm.

Key words: self-driving, trajectory tracking, approximate dynamic programming, bi-level optimization

CLC Number: