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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    Title :

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


    Contributors:
    Shi, Zhe (author) / Fang, Zhenwu (author) / Guo, Xiaozhe (author) / Lu, Yanbo (author) / Wang, Faan (author) / Liang, Jinhao (author)


    Publication date :

    2024-05-24


    Size :

    1086837 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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