Multiobjective design optimization of brushless permanent magnet motor using 3D equivalent magnetic circuit network method

Y. D. Chun*, S. Wakao, T. H. Kim, K. B. Jang, J. Lee

*この研究の対応する著者

研究成果: Article査読

28 被引用数 (Scopus)

抄録

In this paper, we discuss multiobjective design optimization of brushless permanent magnet motor (BLPMM) solved by genetic algorithm (GA) and 3D equivalent magnetic circuit network (EMCN) method. In the multiobjective optimization (MO) problem, we choose the decrease of cogging torque and the increase of torque as objectives. The airgap length, teeth width and magnetization angle of permanent magnet (PM) are also selected for the design variables respectively. From the results, our approach method enabled us to efficiently obtain diverse Pareto optimal (PO) solutions from the practical point of view. The experimental results are shown to confirm the validity of the optimization results.

本文言語English
ページ(範囲)1910-1913
ページ数4
ジャーナルIEEE Transactions on Applied Superconductivity
14
2
DOI
出版ステータスPublished - 2004 6

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • 電子工学および電気工学

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