GPC was proposed for a complex train lateral suspension model. In this thesis, a 17-DOF train lateral semi-active suspension system was modeled by Simulink software. Then, the root mean square value (RMS) of train lateral acceleration was used as object function, and GPC (generalized predictive control) was designed. The result of simulation reveals that compared with passive suspension, RMS reduces more significantly by 19.9% and lateral ride comfort index reduces more significantly by 16.5%.


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    Titel :

    Fuzzy Generalized Predictive Control Algorithm of Train Lateral Semi-Active Suspension Based on GPC


    Beteiligte:
    Li, Guang-jun (Autor:in) / Wang, Ru-jia (Autor:in)

    Kongress:

    18th COTA International Conference of Transportation Professionals ; 2018 ; Beijing, China


    Erschienen in:

    CICTP 2018 ; 1134-1142


    Erscheinungsdatum :

    02.07.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch