Qin, Y., Li, G.-J. orcid.org/0000-0002-5956-4033, Zhu, Z.Q. et al. (4 more authors) (2025) Model-based Luenberger state observer for detecting interturn short-circuits in PM machines. IEEE Transactions on Transportation Electrification, 11 (2). pp. 5302-5311. ISSN 2332-7782
Abstract
This paper proposes a novel model-based Luenberger state observer for interturn short-circuit (ITSC) fault diagnostics. The residuals between the observed currents and the measured currents in the α- and β-axes serve as fault indicator, which can be used to detect ITSC faults not only at an early stage with contact resistance but also at the fully short-circuited stage. These currents are observed by the Luenberger observer, which is designed under the assumption that the machine is operating in a healthy condition. In addition, the investigation results indicate that with greater fault ratio, larger load current and higher speed, detecting the ITSC fault becomes easier. Moreover, three sets of Luenberger observers, assuming the ITSC fault is in phases A, B, and C, respectively, have been designed to identify the faulted phase. A series of experiments have been carried out to validate the developed fault detection method.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in IEEE Transactions on Transportation Electrification is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | fault detection; interturn short-circuit; Luenberger observer; PM machine; PWM |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
Funding Information: | Funder Grant number OFFSHORE RENEWABLE ENERGY CATAPULT ORE/18/20 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Oct 2024 15:47 |
Last Modified: | 09 Apr 2025 14:37 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Refereed: | Yes |
Identification Number: | 10.1109/TTE.2024.3478840 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218143 |