Speed uplift has become the leading trend for the development of current railway traffic. Ideally, under the high-speed transportation infrastructure, trains run at specified positions with designated speeds at appointed times. In view of the faster adaptation ability of multiple-model adaptive control with second-level adaptation (MMAC-SLA), we propose one type of MMAC-SLA for a class of nonlinear systems such as cascaded vehicles. By using an input decomposition technique, the corresponding stability proof is solved for the proposed MMAC-SLA, which synthesises the control signals from the weighted multiple models. The control strategy is utilised to challenge the position and speed tracking of high-speed trains with uncertain parameters. The simulation results demonstrate that the proposed MMAC-SLA can achieve small tracking errors with moderate in-train forces incurred under the control of flattening input signals with practical enforceability. This study also provides a new idea for the control of in-train forces by tracking the positions and speeds of cars while considering power constraints.


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    Title :

    High-speed train control based on multiple-model adaptive control with second-level adaptation


    Contributors:

    Published in:

    Vehicle System Dynamics ; 52 , 5 ; 637-652


    Publication date :

    2014


    Size :

    16 Seiten, 7 Bilder, 1 Tabelle, 36 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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