Adaptive Actuator Compensation of Position Tracking for High-Speed Trains with Disturbances

Mao, Zehui and Tao, Gang and Jiang, Bin and Yan, Xinggang (2018) Adaptive Actuator Compensation of Position Tracking for High-Speed Trains with Disturbances. IEEE Transactions on Vehicular Technology, 67 (7). pp. 5706-5717. ISSN 0018-9545. (doi:https://doi.org/10.1109/TVT.2018.2808360) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

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Abstract

In this paper, the adaptive fault compensation prob-lem is investigated for high-speed trains in the presence of time-varying system parameters, disturbances and actuator failures. To deal with the time-varying system parameters, a new time-varying indicator function instead of commonly used 0-1 function, is proposed to model the train dynamics as a piecewise model with unparameterizable time-varying disturbances, which can cover more time variations and help parametrization for adaptation. A backstepping adaptive controller is designed for the healthy system with unknown piecewise model parameters and known piecewise bounds on disturbances. For both the parameterizable and unparameterizable failures, the backstepping adaptive fail-ure compensation with the adaptive laws are derived to achieve the position tracking under the known bound disturbances. The adaptive failure compensation for unknown bounds on disturbances is also discussed under the parameterizable failure. Through introducing the nonlinear damping in the proposed controller, the failure compensation controller is proposed for the model with unparameterizable system parameters to achieve an arbitrary degree of position tracking accuracy. The stability of the corresponding closed-loop system and asymptotic state tracking are proved via Lyapunov direct method, and validated using a high-speed train model.

Item Type: Article
Uncontrolled keywords: Failure compensation, actuator failures, adaptive control, high-speed train
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Xinggang Yan
Date Deposited: 03 Mar 2018 15:19 UTC
Last Modified: 21 Aug 2018 10:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/66273 (The current URI for this page, for reference purposes)
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