A Novel Equivalent Magnetic Network Method for Permanent Magnet Vernier Motor

Permanent magnet vernier motor has attracted more attention due to its advantages of high torque density and simple structure. In order to analyze the electromagnetic performances of permanent magnet vernier motor quickly and accurately, a new type of Equivalent Magnetic Network Method (EMNM) model is proposed. And based on this model, the motor structure is optimized by multi-objective grasshopper optimization algorithm (MOGOA). Results have shown that the average output torque and the back electromotive force are all increased with the proposed EMNM model and the optimization method.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921360
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
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article

A Novel Equivalent Magnetic Network Method for Permanent Magnet Vernier Motor

Zhaoxia Xiao, Yike Du, Hongwei Fang, Jinguo Zhang et al.
5 links
Electric Motor Design and Analysis
article

A Novel Equivalent Magnetic Network Method for Permanent Magnet Vernier Motor

Zhaoxia Xiao, Yike Du, Hongwei Fang, Jinguo Zhang, Hang Ye
article en

Abstract

Permanent magnet vernier motor has attracted more attention due to its advantages of high torque density and simple structure. In order to analyze the electromagnetic performances of permanent magnet vernier motor quickly and accurately, a new type of Equivalent Magnetic Network Method (EMNM) model is proposed. And based on this model, the motor structure is optimized by multi-objective grasshopper optimization algorithm (MOGOA). Results have shown that the average output torque and the back electromotive force are all increased with the proposed EMNM model and the optimization method.

Tianjin University (CN), Tiangong University (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 74%
Electric Motor Design and Analysis
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