Topology optimization of rotor core combined with identification of current phase angle in IPM motor using multistep genetic algorithm

Yoshifumi Okamoto*, Yusuke Tominaga, Shinji Wakao, Shuji Sato

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

This paper derives an effective shape of the flux barrier in an interior permanent magnet (IPM) motor. IPM motors generally have many design parameters such as the current phase angle, shape of the rotor and stator's iron core, and shape and position of the magnet. The flux barrier plays an important role in controlling torque characteristics. We apply topology optimization (TO) to the rotor core using a multistep genetic algorithm to determine an effective flux barrier. Furthermore, we extend the TO to combinatorial optimization for considering its effect on the current phase angle. Thus, a reasonable flux barrier with an optimal phase angle is determined.

Original languageEnglish
Article number6749018
Pages (from-to)725-728
Number of pages4
JournalIEEE Transactions on Magnetics
Volume50
Issue number2
DOIs
Publication statusPublished - 2014 Feb

Keywords

  • Flux barrier
  • genetic algorithm (GA)
  • interior permanent magnet (IPM) motor
  • multistep scheme
  • parallel computing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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