Incipient sensor fault estimation and accommodation for inverter devices in electric railway traction systems

Zhang, Kangkang and Jiang, Bin and Yan, Xinggang and Mao, Zehui (2016) Incipient sensor fault estimation and accommodation for inverter devices in electric railway traction systems. International Journal of Adaptive Control and Signal Processing, 31 (5). pp. 785-804. ISSN 0890-6327. E-ISSN 1099-1115. (doi:https://doi.org/10.1002/acs.2730) (Full text available)

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Abstract

This paper proposes an incipient sensor fault estimation and accommodation method for three-phase PWM inverter devices in electric railway traction systems. First, the dynamics of inverters and incipient voltage sensor faults are modelled. Then, for the augmented system formed by original inverter system and incipient sensor faults, an optimal adaptive unknown input observer is proposed to estimate the inverter voltages, currents and the incipient sensor faults. The designed observer guarantees that the estimation errors converge to the minimal invariant ellipsoid. Moreover, based on the output regulator via internal model principle, the fault accommodation controller is proposed to ensure that the vod and voq voltages track the desired reference voltages with the tracking error converging to the minimal invariant ellipsoid. Finally, simulations based on the traction system in CRH2 (China Railway High-speed) are presented to verify the effectiveness of the proposed method.

Item Type: Article
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: 10 Nov 2016 10:40 UTC
Last Modified: 08 Oct 2018 09:17 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58507 (The current URI for this page, for reference purposes)
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