[Objective] Conventional positioning stiffness of rail transit vehicle bogies results in significant lateral forces between wheels and rails, leading to substantial wear and reduced operational efficiency when navigating curves with small to medium radii. To enhance the operational stability and curve negotiation performance of rail transit vehicles, an active radial system for bogies is proposed. [Method] The active radial system and the control principles are introduced. The software and hardware design process of the radial controller is outlined. A vehicle dynamics model is established, integrating with other system components. The functionality and performance of the radial controller are verified through semi-physical simulation experiments and circular track tests. [Result & Conclusion] Whether adopting a guided active detection mode or a precise beacon detection mode, the radial controller can effectively detect curve segments, aligning the bogie wheelsets toward radial positions during curve negotiation in accordance with the actual track information. When entering or exiting curves, the radial controller can drive the radial actuator to act immediately or in advance, effectively reducing the lag time. Simulation and circular track test results demonstrate that trains equipped with bogies featuring the active radial system exhibit a consistent and significantly lower variation in wheel-rail lateral force compared to conventional passive curve negotiation states. The performance of the guiding wheelsets is particularly outstanding. The proposed active radial controller improves the curve negotiation performance of trains and reduces wheel-rail wear.


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    Titel :

    Active Radial Controller for Rail Transit Vehicle Bogies


    Beteiligte:
    Bo HU (Autor:in) / Fei MA (Autor:in) / Changjun GAO (Autor:in) / Yuhang ZHOU (Autor:in) / Zhongxiang WANG (Autor:in)


    Erscheinungsdatum :

    2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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