Flexible fault-tolerant topology for switched reluctance motor drives

Abstract

Switched reluctance motor (SRM) drives are one competitive technology for traction motor drives. This paper proposes a novel and flexible SRM fault-tolerant topology with fault diagnosis, fault tolerance, and advanced control functions. The converter is composed of a single-phase bridge and a relay network, based on the traditional asymmetrical half-bridge driving topology. When the SRM-driving system is subjected to fault conditions including open-circuit and short-circuit faults, the proposed converter starts its fault-diagnosis procedure to locate the fault. Based on the relay network, the faulty part can be bypassed by the single-phase bridge arm, while the single-phase bridge arm and the healthy part of the converter can form a fault-tolerant topology to sustain the driving operation. A fault-tolerant control strategy is developed to decrease the influence of the fault. Furthermore, the proposed fault-tolerant strategy can be applied to three-phase 12/8 SRM and four-phase 8/6 SRM. Simulation results in MATLAB/Simulink and experiments on a three-phase 12/8 SRM and a four-phase 8/6 SRM validate the effectiveness of the proposed strategy, which may have significant economic implications in traction drive systems.

Publication DOI: https://doi.org/10.1109/TPEL.2015.2477165
Divisions: College of Engineering & Physical Sciences
Additional Information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Uncontrolled Keywords: fault diagnosis,fault tolerance,switched reluctance motor,traction motor drive
Publication ISSN: 1941-0107
Last Modified: 05 Nov 2024 17:03
Date Deposited: 28 Jun 2016 08:20
Full Text Link: http://ieeexplo ... rnumber=7244242
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PURE Output Type: Article
Published Date: 2016-06
Published Online Date: 2015-09-07
Accepted Date: 2015-08-24
Submitted Date: 2015-06-03
Authors: Hu, Yihua
Gan, Chun
Cao, Wenping (ORCID Profile 0000-0002-8133-3020)
Zhang, Jiangfeng
Li, Wuhua
Finney, Stephen J.

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