OPTIMAL ADHESION BRAKING CONTROL OF TRAINS BASED ON PARAMETER ESTIMATION AND SLIDING MODE OBSERVER

Jing He, Laicheng Shi, Changfan Zhang, Jianhua Liu, Buchong Yang, and Xintian Zuo

Keywords

Parameter estimation, sliding mode observer, adhesion control, high-speed trains

Abstract

The braking force in high-speed trains (HST) cannot be used effectively. To address this problem, an optimal adhesion braking control algorithm in a non-singular terminal sliding mode with parameter estimation and sliding mode observer (PESMC) is proposed. First, a mathematical model of HST braking with unknown viscous friction coefficient and disturbance is established. Second, the optimal slip ratio of different rail surfaces is estimated by using the recursive least squares method with time-varying forgetting factor. Third, the sliding mode observer is used to estimate the unknown quantities in the system. The controller is designed on the basis of the sliding mode control algorithm, such that the HST can run in the maximum adhesion area. Finally, the effectiveness of the proposed method is verified through the simulation results.

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