Measurement Offset Fault Detection Logic for PMSM Position Sensor

High-performance control of permanent magnet synchronous motors (PMSMs) demands precise position information, but nonidealities 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 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.

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Publication Details

Journal
IEEE Sensors Letters
Published
2024-08-22
DOI
https://doi.org/10.1109/lsens.2024.3447897
Citations
1
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.35

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article

Measurement Offset Fault Detection Logic for PMSM Position Sensor

Hafiz Ahmed
1 citations
IEEE Sensors Letters
Sensor Technology and Measurement Systems
0.35
article

Measurement Offset Fault Detection Logic for PMSM Position Sensor

Hafiz Ahmed
article en
1 citations

Abstract

High-performance control of permanent magnet synchronous motors (PMSMs) demands precise position information, but nonidealities 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 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.

IEEE Sensors LettersVol. 8(9)
Advanced Manufacturing Research Centre (GB)
Engineering and Physical Sciences Research Council
Climate action
Openalex Percentile: Top 40%
Sensor Technology and Measurement Systems
0.35
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Measurement Offset Fault Detection Logic for PMSM Position Sensor — Hafiz Ahmed · IEEE Sensors Letters (2024) | TGRS Research Map | TGRS