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Automotive Engineering ›› 2023, Vol. 45 ›› Issue (6): 997-1009.doi: 10.19562/j.chinasae.qcgc.2023.06.010

Special Issue: 底盘&动力学&整车性能专题2023年

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Research on Emergency Trajectory Tracking Control Based on Dynamics Decoupling

Yinghong Yu1,2,Li Huang1,Yinong Li2(),Ling Zheng2,Jia Zhou1,Yixiao Liang2   

  1. 1.China Automotive Engineering Research Institute Co. ,Ltd. ,Chongqing  401122
    2.College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing  400044
  • Received:2022-11-14 Online:2023-06-25 Published:2023-06-16
  • Contact: Yinong Li E-mail:ynli@cqu.edu.cn

Abstract:

For the problem that the accuracy of the traditional trajectory tracking method decreases due to the longitudinal and lateral dynamic coupling of the vehicle under emergency working conditions, a decoupling tracking algorithm is proposed, which realizes the indirect tracking of the motion trajectory by tracking the target motion state of the vehicle on the basis of reduction of the negative coupling effect by the dynamic decoupling. Firstly, based on theoretical derivation and simulation experiments, the causes of vehicle longitudinal and lateral dynamics coupling and its influence on tracking accuracy are explored. Then, by modifying the configuration of the traditional three-degree-of-freedom vehicle dynamics inverse system, the interface is determined, and the feedback forward neural network (BPNN) model is trained with a random dataset to obtain the vehicle plane motion inverse system. Finally, the target motion state inverse solution model based on target motion trajectory and the target trajectory correction model based on pure tracking idea are designed, and the inverse system decoupling method is applied to the long-range tracking task. Simulation and experimental results show that decoupling tracking as a new tracking method can not only complete the tracking task, but also have higher tracking accuracy under coupling conditions compared with the traditional tracking method.

Key words: emergency conditions, inverse system, dynamical coupling, trajectory tracking, decoupling