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Journal of Graphics ›› 2025, Vol. 46 ›› Issue (1): 170-178.DOI: 10.11996/JG.j.2095-302X.2025010170

• Computer Graphics and Virtual Reality • Previous Articles     Next Articles

Robustness analysis and control of lateral driving stability of novel inspection vehicle

NI Liwei1,2(), WU Liang2, JIANG Hongsheng1, XING Biao2   

  1. 1. College of Mechanical Engineering, Henan University of Engineering, Zhengzhou Henan 451191, China
    2. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun Jilin 130012, China
  • Received:2024-05-21 Accepted:2024-10-23 Online:2025-02-28 Published:2025-02-14
  • About author:First author contact:

    NI Liwei (1987-), lecturer, Ph.D. His main research interests cover the vehicle driving stability control. E-mail:hauenlw@haue.edu.cn

  • Supported by:
    National Natural Science Foundation of China(51705185);Open Foundation of State Key Laboratory of Automotive Simulation and Control(20210221);Natural Science Foundation of Jilin Province(YDZJ202101ZVTS190)

Abstract:

Traditional vehicles often experience deviations in sideslip angle and yaw rate from their ideal values when subjected to uncertain disturbances, resulting in a degradation of the lateral driving stability of the vehicle. To enhance the lateral driving stability and robustness of vehicles under such conditions, firstly, a hierarchical collaborative control strategy (HCC) with strong robustness was proposed based on integrated dynamic model, the sequential quadratic programming method, and the adaptive sliding mode control algorithm (ASMC). Secondly, a novel four-wheel steering and distributed drive inspection vehicle (FSDDIV) was designed based on steering-by-wire, drive-by-wire, and brake-by-wire. Finally, the lateral driving stability analysis based on Simulink and Carsim was carried out. The results demonstrated that compared with ADM control strategy, the proposed HCC control strategy exhibited better control performance. When faced different driving conditions, different driving speeds, and system parameters uncertainty, the improvement ratio of maximum deviation errors of the sideslip angle and yaw rate reached 75.5% and 84.8%, 72.8% and 86.0%, and 71.0% and 83.8%, respectively. In addition, the HCC strategy exhibited better overall performance compared to the similar HLQR control theory. In summary, the proposed control strategy is insensitive to uncertain disturbances, delivering robust and stable control effects, making it well-suited for inspection tasks under different working conditions.

Key words: inspection vehicle, four wheel steering and distributed drive, lateral stability, hierarchical collaborative control, robustness analysis

CLC Number: