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Detection and discrimination of multiple faults in switched reluctance motor drives for safety-critical applications

Nasir Ali, Qiang Gao et Ke Ma

Communication écrite (2022)

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Abstract

Switched reluctance motors (SRMs) are being widely utilized in numerous safety-critical applications such as Electric Vehicle (EVs) and More/All Electric Aircrafts (MEA) etc., where the reliability of the drive system is critically important. An SRM drive system suffers from various failures during operation typically known as open- and short-circuit in power switches, open phase winding, and sensor faults. Extensive research has been done on the fault diagnosis of SRM drive system. Nevertheless, the existing techniques investigated each fragile component separately and proposed different approaches for each fault, which not only make the system complex, but also less reliable for practical implementation in safety-critical applications. Thus, a more sophisticated algorithm to detect and discriminate each of these faults in real-time becomes attractive. This paper presents a simple fault detection and isolation scheme for multiple faults in SRM drive systems. The investigated faults include open-switch, short-switch, open-phase and zero-output current sensors faults. The typical faults are effectively identified and discriminated through the digital analysis of the measured current by each phase current sensor and the dc-link sensor in real-time. The feasibility of the proposed scheme is verified by the extensive simulation results conducted on a three-phase 12/8 SRM drive system.

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Département: Département de génie électrique
ISBN: 9781728119489
URL de PolyPublie: https://publications.polymtl.ca/73328/
Nom de la conférence: IEEE International Conference on Industrial Technology (ICIT 2022)
Lieu de la conférence: Shanghai, China
Date(s) de la conférence: 2022-08-22 - 2022-08-25
Maison d'édition: IEEE
DOI: 10.1109/icit48603.2022.10002754
URL officielle: https://doi.org/10.1109/icit48603.2022.10002754
Date du dépôt: 02 mars 2026 16:00
Dernière modification: 02 mars 2026 16:00
Citer en APA 7: Ali, N., Gao, Q., & Ma, K. (août 2022). Detection and discrimination of multiple faults in switched reluctance motor drives for safety-critical applications [Communication écrite]. IEEE International Conference on Industrial Technology (ICIT 2022), Shanghai, China (6 pages). https://doi.org/10.1109/icit48603.2022.10002754

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