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Adaptive Compensation of Traction System Actuator Failures for High-Speed Trains

Mao, Zehui, Tao, Gang, Jiang, Bin, Yan, Xinggang (2017) Adaptive Compensation of Traction System Actuator Failures for High-Speed Trains. IEEE Transactions on Intelligent Transportation Systems, 18 (11). pp. 2950-2963. ISSN 1524-9050. E-ISSN 1558-0016. (doi:10.1109/TITS.2017.2666428) (KAR id:60407)

Abstract

In this paper, an adaptive failure compensation problem is addressed for high-speed trains with longitudinal dynamics and traction system actuator failures. Considered the time-varying parameters of the train motion dynamics caused by time-varying friction characteristics, a new piecewise constant model is introduced to describe the longitudinal dynamics with variable parameters. For both the healthy piecewise constant system and the system with actuator failures, the adaptive controller structure and conditions are derived to achieve the plant-model matching. The adaptive laws are designed to update the adaptive controller parameters, in the presence of the system piecewise constant parameters and actuator failure parameters which are unknown. Based on Lyapunov functions, the closed-loop stability and asymptotic state tracking are proved. Sim-ulation results on a high-speed train model are presented to illustrate the performance of the developed adaptive actuator failure compensation control scheme.

Item Type: Article
DOI/Identification number: 10.1109/TITS.2017.2666428
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 16 Feb 2017 10:02 UTC
Last Modified: 10 Dec 2022 04:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60407 (The current URI for this page, for reference purposes)

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