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

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1910-1913
Number of pages4
JournalIEEE Transactions on Applied Superconductivity
Volume14
Issue number2
DOIs
Publication statusPublished - 2004 Jun 1

Keywords

  • 3D equivalent magnetic circuit network method
  • Brushless permanent magnet motor
  • Genetic algorithm
  • Multiobjective design optimization

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

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