Traditional unmanned vehicles are generally limited to work under ordinary conditions, however the control strategy under extreme conditions still needs to be studied. This paper proposes a drift controller based on Model Predictive Control (MPC). Firstly, the saturation characteristics of the tire in the drift state are analyzed. On this basis, the drift steering mechanism of the vehicle model is analyzed, and the drift equilibrium point is obtained. Then the vehicle dynamics model is linearized at the equilibrium point, and the MPC drift controller is designed to realize the steady-state drift control of the vehicle. Finally, the effectiveness of the steady-state drift controller is verified by simulation.


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    Title :

    Research on steady state drift control of unmanned vehicle based on model predictive control


    Contributors:
    Chen, Wanmi (editor) / Liu, Xiaogang (editor) / Feng, Huanqin (author) / Jing, Hui (author) / Kuang, Bing (author) / Zhao, Chongqin (author)

    Conference:

    Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023) ; 2023 ; Guilin, China


    Published in:

    Proc. SPIE ; 13082


    Publication date :

    2024-04-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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