In this paper, a multi-algorithm-fusion-based cooperative tracking control strategy is proposed for high-speed trains to achieve the control objectives of reference speed trajectory tracking and adjacent safety distance maintenance simultaneously. First, the multiple high-speed train (MHST) system is formulated as a multi-agent system (MAS) with a virtual leader. Second, a coordination controller that considers the dynamic tracking performance and input saturation is designed by combining the MAS leader-follower consensus algorithm and the improved artificial potential field (APF) method. In addition, within the train-to-train (T2T) communication network, an event-triggered mechanism is introduced in the continuous state transmission process to address the communication channel capacity protection limitation issue. Third, the closed-loop stability of the MHST system is ensured by the comprehensive analysis of a novel log-type Lyapunov function. Finally, the effectiveness of the proposed event-triggered cooperative tracking control strategy is verified through a numerical example of the MHST system on a typical line.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An artificial potential field approach for event-triggered cooperative control of multiple high-speed trains with free initial states


    Weitere Titelangaben:

    Y. ZHANG ET AL.
    INTERNATIONAL JOURNAL OF RAIL TRANSPORTATION


    Beteiligte:
    Zhang, Yusha (Autor:in) / Huang, Deqing (Autor:in) / Wu, Yue (Autor:in) / Zhu, Lei (Autor:in) / Chen, Yong (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    04.07.2025


    Format / Umfang :

    24 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch