This paper addresses an on-line approximation-based robust adaptive control problem for the automatic train operation (ATO) system under actuator saturation caused by constraints from serving motors. A robust adaptive control law is proposed, which is proved capable of on-line estimating of the unknown system parameters and stabilizing the closed-loop system. To cope with actuator saturation, another robust adaptive control is proposed for the ATO system, by explicitly considering the actuator saturation nonlinearity other than unknown system parameters, which is also proved capable of stabilizing the closed-loop system. Simulation results are presented to verify the effectiveness of the two proposed control laws.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Approximation-Based Robust Adaptive Automatic Train Control: An Approach for Actuator Saturation


    Contributors:
    Gao, Shigen (author) / Dong, Hairong (author) / Chen, Yao (author) / Ning, Bin (author) / Chen, Guanrong (author) / Yang, Xiaoxia (author)


    Publication date :

    2013-12-01


    Size :

    950234 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English