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Dual Jitter Suppression Mechanism-Based Cooperation Control for Multiple High-Speed Trains with Parametric Uncertainty

Author

Listed:
  • Xue Lin

    (College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 260061, China)

  • Caiqing Ma

    (College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 260061, China)

  • Qianling Wang

    (School of Artificial Intelligence, Hebei Univeristy of Technology, Tianjin 300401, China)

Abstract

Parameter uncertainty is one of the key factors that affect the performance of train systems. In order to obtain good tracking and cooperation performances and to improve line utilization, this paper proposes a sliding mode surface-based cooperation control scheme for multiple high-speed trains subject to parameter uncertainty. Based on the single-mass point model, multiple high-speed trains can be modeled as a quasi-multi-agent system with the leader–follower model. Considering the parameter uncertainty of the system, the non-singular terminal sliding mode surface is applied and adaptive control laws are designed to estimate the unknown parameters and external disturbances. A dual jitter suppression mechanism-based cooperation control drive strategy is presented in order to achieve the following objectives: (1) the leading train can track the desired trajectory very well; (2) one train can follow the adjacent train in front at the desired safe interval; and (3) the cooperation performances can be obtained for the quasi multi-agent system. Lyapunov functions are defined to prove the stability of the system, and simulation experiments show that the proposed cooperation control scheme is feasible and effective. According to the presented control scheme applied for multiple high-speed trains, the line utilization rate can be greatly improved.

Suggested Citation

  • Xue Lin & Caiqing Ma & Qianling Wang, 2023. "Dual Jitter Suppression Mechanism-Based Cooperation Control for Multiple High-Speed Trains with Parametric Uncertainty," Mathematics, MDPI, vol. 11(8), pages 1-16, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1786-:d:1119055
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    References listed on IDEAS

    as
    1. Yu-Chen Lin & Valentina Emilia Balas & Marius Mircea Balas & Jian-Zhang Peng, 2019. "Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control for Hydro-Turbine Governor Design," Energies, MDPI, vol. 13(1), pages 1-22, December.
    2. Zhang, Jianhua & Hu, Funian & Wang, Shuliang & Dai, Yang & Wang, Yixing, 2016. "Structural vulnerability and intervention of high speed railway networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 743-751.
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    Cited by:

    1. Yinggui Zhang & Qianying Xu & Runchuan Yu & Minghui Zhao & Jiachen Liu, 2023. "Receiving Routing Approach for Virtually Coupled Train Sets at a Railway Station," Mathematics, MDPI, vol. 11(9), pages 1-21, April.

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