Error-voltage-based open-switch fault diagnosis strategy for matrix converters with model predictive control method

Dan, Hanbing and Peng, Tao and Su, Mei and Deng, Hui and Zhu, Qi and Zhao, Ziyi and Wheeler, Patrick (2017) Error-voltage-based open-switch fault diagnosis strategy for matrix converters with model predictive control method. IEEE Transactions on Industry Applications, 53 (5). pp. 4603-4612. ISSN 1939-9367

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Abstract

This paper proposes an error-voltage based open-switch fault diagnosis strategy for matrix converter (MC). A finite control set model predictive control (FCS-MPC) method is used to operate the MC. The MC system performances under normal operation and under a single open-switch fault operation are analyzed. A fault diagnosis strategy has also been implemented in two steps. First, the faulty phase is detected and identified based on a comparison of the reference and estimated output line-to-line voltages. Then, the faulty switch is located by considering the switching states of the faulty phase. The proposed fault diagnosis method is able to locate the faulty switch accurately and quickly without additional voltage sensors. Simulation and experimental results are presented to demonstrate the feasibility and effectiveness of the proposed strategy

Item Type: Article
Additional Information: (c)2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Keywords: Fault diagnosis; finite control set model predictive control; matrix converter; single open-switch fault
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Identification Number: 10.1109/TIA.2017.2695978
Depositing User: Burns, Rebecca
Date Deposited: 14 Nov 2017 09:39
Last Modified: 14 Nov 2017 09:46
URI: http://eprints.nottingham.ac.uk/id/eprint/48092

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