This paper proposes an artificial potential field (APF) method to plan the obstacle-avoidance path for an autonomous vehicle, and transforms the discrete path model into a continuous one for path-tracking control design. To describe the lateral dynamics and path-tracking characteristics of the vehicle, a two-degree-of-freedom (2-DOF) dynamic model and a kinematic model are established. According to the reference path information and vehicle dynamic model, a sliding mode control (SMC) strategy is presented to realize the vehicle’s path-tracking behaviour, and the stability of control system is testified in Lyapunov sense. Finally, MATLAB/Simulink-Carsim co-simulation is applied to test the effectiveness of the proposed method under various road conditions.


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    Titel :

    Obstacle-avoidance path planning and tracking control of an autonomous vehicle


    Beteiligte:
    Sun, Zhe (Autor:in) / Li, Shengrui (Autor:in) / Hong, Yiting (Autor:in) / Chen, Bo (Autor:in)


    Erscheinungsdatum :

    27.06.2022


    Format / Umfang :

    2351383 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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