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

Dan, Hanbing; Peng, Tao; Su, Mei; Deng, Hui; Zhu, Qi; Zhao, Ziyi; Wheeler, Patrick


Hanbing Dan

Tao Peng

Mei Su

Hui Deng

Qi Zhu

Ziyi Zhao


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


Dan, H., Peng, T., Su, M., Deng, H., Zhu, Q., Zhao, Z., & Wheeler, P. (2017). Error-voltage-based open-switch fault diagnosis strategy for matrix converters with model predictive control method. IEEE Transactions on Industry Applications, 53(5),

Journal Article Type Article
Acceptance Date Apr 10, 2017
Online Publication Date Apr 18, 2017
Publication Date Oct 31, 2017
Deposit Date Nov 14, 2017
Publicly Available Date Nov 14, 2017
Journal IEEE Transactions on Industry Applications
Print ISSN 0093-9994
Electronic ISSN 1939-9367
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 53
Issue 5
Keywords Fault diagnosis; finite control set model predictive control; matrix converter; single open-switch fault
Public URL
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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


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