Virtual coupling (VC) is an emerging problem, which could control multiple trains as a virtually coupled train set (VCTS) via train automation and communication. This paper proposes a novel adaptive control method for the VCTS. Firstly, a VCTS dynamics model is constructed by analyzing the dynamic evolution of VCTS in a real-world environment, taking into account input saturation, uncertain parameters and unknown disturbances. Next, we construct a nonlinear state-dependent function (NSDF) to cope with the tracking interval and speed constraints. And a novel adaptive control protocol is designed, which can simultaneously deal with uncertain resistance parameters and unknown disturbances, while enabling the train to track the preceding train stably and efficiently. Based on Lyapunov stability theory, the strategy stability is analyzed. Simulation results are also used to confirm the feasibility and effectiveness of the proposed control method.


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    Titel :

    Distributed Adaptive Cooperative Control for Virtually Coupled Train Set with State Constraints and Input Saturation


    Beteiligte:
    Dai, Ping (Autor:in) / Wang, Di (Autor:in) / Su, Shuai (Autor:in) / Sheng, Xubiao (Autor:in) / Qian, Fuyu (Autor:in) / He, Chunjun (Autor:in)


    Erscheinungsdatum :

    24.09.2023


    Format / Umfang :

    626534 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch