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Adaptive Fault-Tolerant Sliding-Mode Control for High-Speed Trains with Actuator Faults and Uncertainties

Mao, Zehui, Yan, Xinggang, Jiang, Bin, Chen, Mou (2019) Adaptive Fault-Tolerant Sliding-Mode Control for High-Speed Trains with Actuator Faults and Uncertainties. IEEE Transactions on Intelligent Transportation Systems, . ISSN 1524-9050. E-ISSN 1558-0016. (doi:10.1109/TITS.2019.2918543) (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, a novel adaptive fault-tolerant sliding mode control scheme is proposed for high-speed trains, where the longitudinal dynamical model is focused, and the disturbances and actuator faults are considered. Considering the disturbances in traction force generated by the traction system, a dynamic model with actuator uncertainties modelled as input distribution matrix uncertainty is established. Then, a new sliding-mode controller with design conditions is proposed for the healthy train system, which can drive the tracking error dynamical system to a pre-designed sliding surface in finite time and maintain the sliding motion on it thereafter. In order to deal with the actuator uncertainties and unknown faults simultaneously, the adaptive technique is combined with the fault-tolerant sliding mode control design together to guarantee that the asymptotical convergence of the tracking errors is achieved. Furthermore, the proposed adaptive fault-tolerant sliding-mode control scheme is extended to the cases of the actuator uncertainties with unknown bounds and the unparameterized actuator faults. Finally, case studies on a real train dynamic model are presented to explain the developed fault-tolerant control scheme. Simulation results show the effectiveness and feasibility of the proposed method.

Item Type: Article
DOI/Identification number: 10.1109/TITS.2019.2918543
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 13 Jun 2019 00:10 UTC
Last Modified: 08 Jul 2019 11:38 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/74378 (The current URI for this page, for reference purposes)
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