Robust Design and Optimization for a Permanent Magnet Vernier Machine with Hybrid Stator

Liang Xu, Wenjie Wu, Wenxiang Zhao, Guohai Liu, Shuangxia Niu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)

Abstract

This article tackles the design problem for a permanent magnet Vernier machine with hybrid stator to achieve a high structure robustness, enhanced torque and improved power factor simultaneously. The key of the solution is divided into two parts. One is to solve the conflict between torque and power factor by deterministic optimization. The other is to optimize its robustness with the help of robust optimization. Firstly, sensitivity analysis is adopted to stratify design parameters. Afterwards, a multi-objective deterministic optimization is applied to achieve an optimal balancing design between the two competing objectives, torque and power factor. However, the deterministic optimization ignores the size deviation in actual production, which most likely results in the poor structure robustness. Therefore, robustness analysis is employed to check its robustness. Then, through the robustness optimization, the robustness of this machine is further improved on the basis of the deterministic optimization. Finally, a prototype machine is built and the experiments on the prototype machine are carried out to verify the validity of the robust optimization.

Original languageEnglish
Article number9149646
Pages (from-to)2086-2094
Number of pages9
JournalIEEE Transactions on Energy Conversion
Volume35
Issue number4
DOIs
Publication statusPublished - Dec 2020

Keywords

  • deterministic optimization
  • hybrid stator
  • Permanent magnet vernier machine
  • robust optimization

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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