High-Speed Train Adaptive Control Based on Multiple Models

Abstract

High-speed train puts up stricter requirements on its control strategy. One requirement is to make the controller quickly adapt to the large-scope external disturbances and system parameter variations. This paper develops the control model of train movement with maximum torque control for adaptive control strategy. The maximum torque control is converted to the state following control around the optimal slip speed. The method of multiple model adaptive control with second level adaptation is introduced into the train control. This method avoids the observer design and the estimation of unobservable states. The simulation results demonstrate that the control strategy has superior performance when the system parameters are time-variant with uncertain disturbances. The control scheme is as an alternative of the multiple controllers based on multiple models to improve the reliability of train control with large-scope prompt adaptation.