Ahmed, H. orcid.org/0000-0001-8952-4190 (2024) Measurement offset fault detection logic for PMSM position sensor. IEEE Sensors Letters, 8 (9). 6011704. ISSN 2475-1472
Abstract
High-performance control of permanent magnet synchronous motors (PMSMs) demands precise position information, but non-idealities and signal conversion issues may introduce a DC offset (DCO) in the motor position sensor output. This offset significantly degrades drive performance and efficiency. To address this, conventional state-machine-type algorithms adapt control bandwidths based on fault types. This letter introduces an intuitive decision logic (DL) for both forward and reverse (F&R) motor operations, offering simplicity and ease of implementation. In contrast to complex signal processing methods such as wavelet and Fourier transformation and neural network, the proposed lightweight DL can be efficiently implemented in a wide range of embedded devices. Experimental results using an industrial grade PMSM servo motor across diverse operating conditions validate the efficacy of the proposed DL over long short-term memory network-based counterpart
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 Sensors Letters 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: | Sensors; Motors; Phase locked loops; Long short term memory; Noise; Real-time systems; Estimation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Advanced Manufacturing Institute (Sheffield) > Nuclear Advanced Manufacturing Research Centre |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/Y036344/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 30 Aug 2024 08:17 |
Last Modified: | 25 Feb 2025 11:27 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/lsens.2024.3447897 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216590 |