This paper designs a longitudinal controller for a magnetic navigation unmanned electric vehicle to obtain desired values for speed tracking. The motion control algorithm is proposed using PID control via fuzzy logic for PID parameters online adjusting. A switch strategy is designed to guarantee the smooth switching between the drive actuator and the brake one. The vehicle is a modification of an electric sightseeing car. A simple model of a typical front drive car for vehicle dynamics control system is built to help the design of the controller. The road test results demonstrated that the longitudinal controller provided high tracking accuracy and strong robustness.


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    Title :

    Longitudinal Control for a Magnetic Navigation Unmanned Electric Vehicle


    Contributors:

    Published in:

    Publication date :

    2015-02-25


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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