Traditional controllers face difficulties in effectively controlling heavy-duty vehicles due to their large mass, high center of gravity, and delayed actuator response. This paper presents an adaptive model predictive control vehicle chassis integrated controller based on a rollover factor model established using the vehicle lateral transfer ratio. The state quantities used in the controller are the yaw rate, the sideslip angle, and the roll angle. The heavy-duty vehicle's anti-rollover performance can be improved by reasonably distributing the additional yaw moment and front steer angle. A virtual real-vehicle test environment and a real online joint simulation were constructed to verify the anti-rollover performance of the vehicle under double land conditions and variable curvature roads while generating additional yaw moment and front steer angle. Additionally, an anti-rollover Hardware-In-Loop test platform was built to ensure the stability and safety of heavy-duty vehicles under variable curvature curves.


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    Titel :

    Predictive Control Study of Active Anti-rollover Model for Heavy-duty Vehicles Considering Variable Curvature Curves


    Beteiligte:
    Shi, Zhe (Autor:in) / Fang, Zhenwu (Autor:in) / Guo, Xiaozhe (Autor:in) / Lu, Yanbo (Autor:in) / Wang, Faan (Autor:in) / Liang, Jinhao (Autor:in)


    Erscheinungsdatum :

    24.05.2024


    Format / Umfang :

    1086837 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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