A New Dynamic Eccentricity Diagnosis Method for Permanent Magnet Motors Considering Variable-Speed and Speed Fluctuation Conditions

Nowadays, dynamic eccentricity (DE) diagnosis methods for permanent magnet motors (PMMs) face difficulties in constructing diagnostic functions and extracting features under variable-speed and speed fluctuation conditions. Motivated by this, this article proposes a new DE diagnosis method based on normalized envelope mean (NEM) of open-circuit back electromotive force (EMF), which enables accurate diagnosis within the full range of DE ratios under variable-speed and speed fluctuation conditions. First, the phenomenon and generation mechanism of periodic fluctuations in envelopes of back EMF caused by DE are investigated based on the analytical model (AM). Then, a new DE diagnosis method is proposed. Based on the proposed AM, the DE diagnosis function is constructed within the entire range of DE ratios. The NEM extraction algorithm based on instantaneous frequency estimation and speed normalization is proposed to handle variable-speed and speed fluctuation conditions. Finally, the accuracies of AM and diagnosis method are verified by experimental results under different speed conditions and DE ratios. This article provides a new idea for the DE diagnosis of external rotor permanent magnet motors (ERPMMs), which can be applied not only to constant-speed conditions with speed fluctuations but also to variable-speed conditions.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2024-11-20
DOI
https://doi.org/10.1109/tim.2024.3502823
Citations
4
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.83
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article

A New Dynamic Eccentricity Diagnosis Method for Permanent Magnet Motors Considering Variable-Speed and Speed Fluctuation Conditions

Yu Gao, Shengsen Zhou, Z Liu, Jianhui Wang et al.
4 citations
IEEE Transactions on Instrumentation and Measurement
Sensorless Control of Electric Motors
0.83
article

A New Dynamic Eccentricity Diagnosis Method for Permanent Magnet Motors Considering Variable-Speed and Speed Fluctuation Conditions

Yu Gao, Shengsen Zhou, Z Liu, Jianhui Wang, Conggan Ma, Cheng Zhu, Qitao Feng, Yuhui Wei
article en
4 citations

Abstract

Nowadays, dynamic eccentricity (DE) diagnosis methods for permanent magnet motors (PMMs) face difficulties in constructing diagnostic functions and extracting features under variable-speed and speed fluctuation conditions. Motivated by this, this article proposes a new DE diagnosis method based on normalized envelope mean (NEM) of open-circuit back electromotive force (EMF), which enables accurate diagnosis within the full range of DE ratios under variable-speed and speed fluctuation conditions. First, the phenomenon and generation mechanism of periodic fluctuations in envelopes of back EMF caused by DE are investigated based on the analytical model (AM). Then, a new DE diagnosis method is proposed. Based on the proposed AM, the DE diagnosis function is constructed within the entire range of DE ratios. The NEM extraction algorithm based on instantaneous frequency estimation and speed normalization is proposed to handle variable-speed and speed fluctuation conditions. Finally, the accuracies of AM and diagnosis method are verified by experimental results under different speed conditions and DE ratios. This article provides a new idea for the DE diagnosis of external rotor permanent magnet motors (ERPMMs), which can be applied not only to constant-speed conditions with speed fluctuations but also to variable-speed conditions.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Harbin Institute of Technology (CN), China North Industries Group Corporation (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 26%
Sensorless Control of Electric Motors
0.83
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