This paper presents an online feedback hybrid control strategy consisting of optimal switching positions and optimal tractive efforts for urban train energy-saving optimal operation. Firstly, we use a train dynamic model by taking train position as independent variable, speed and time as state variables. Secondly, we establish the train energy saving operation optimization problem by applying the result obtained by Pentriagin’s Maximum Principle (PMP) that the optimal tractive efforts consist of a fixed sequence of modes of tractive efforts. Thirdly, we present an online hybrid control strategy by online optimizing the switching positions of these modes and meanwhile invoking these traction forces. Here, the optimal tractive efforts are in feedback form of the train speed and thus this online hybrid control strategy is in form of feedback. The discrete dynamic programming algorithm is used to online search for the remaining switching positions of the train optimal modes. Finally, this method is compared with the traditional discrete dynamic programming method for obtaining the optimal train speed curve optimization. The effectiveness of the proposed method and the advantages of computational efficiency and capacity of resisting disturbance are verified by a simulation example.


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    Titel :

    Online Hybrid Feedback Control Strategy via Switching Position Optimization for Energy-Saving Operation of Urban Trains


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Jia, Limin (Herausgeber:in) / Qin, Yong (Herausgeber:in) / Liang, Jianying (Herausgeber:in) / Liu, Zhigang (Herausgeber:in) / Diao, Lijun (Herausgeber:in) / An, Min (Herausgeber:in) / Chen, Yangzhou (Autor:in) / Guo, Xiangyu (Autor:in) / Zhan, Jingyuan (Autor:in) / Hu, Maolin (Autor:in)

    Kongress:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2021 October 21, 2021 - October 23, 2021



    Erscheinungsdatum :

    2022-02-22


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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