Topology design method of flux barrier in IPM motor by means of genetic algorithm implemented by multistep procedure

Yoshifumi Okamoto; Yusuke Tominaga; Shinji Wakao; Shuji Sato

doi:10.3233/JAE-141949

Topology design method of flux barrier in IPM motor by means of genetic algorithm implemented by multistep procedure

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

^*Corresponding author for this work

School of Advanced Science and Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This study derives a high performance flux barrier for an interior permanent magnet (IPM) motor using binary-based topology optimization (TO). TO has a higher degree of optimization than size or shape optimization. An IPM motor has many design parameters including the current phase angle, core shape of rotor and stator, and magnet position and shape. The flux barrier in an IPM motor plays a particularly important role, influencing several characteristics. We apply TO, using a multistep genetic algorithm, to the rotor core in order to determine a flux barrier with the highest torque performance.

Original language	English
Pages (from-to)	381-387
Number of pages	7
Journal	International Journal of Applied Electromagnetics and Mechanics
Volume	46
Issue number	2
DOIs	https://doi.org/10.3233/JAE-141949
Publication status	Published - 2014

Keywords

Flux barrier
IPM motor
genetic algorithm
multistep procedure
topology optimization

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Mechanics of Materials
Mechanical Engineering
Electrical and Electronic Engineering

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abstract = "This study derives a high performance flux barrier for an interior permanent magnet (IPM) motor using binary-based topology optimization (TO). TO has a higher degree of optimization than size or shape optimization. An IPM motor has many design parameters including the current phase angle, core shape of rotor and stator, and magnet position and shape. The flux barrier in an IPM motor plays a particularly important role, influencing several characteristics. We apply TO, using a multistep genetic algorithm, to the rotor core in order to determine a flux barrier with the highest torque performance.",

keywords = "Flux barrier, IPM motor, genetic algorithm, multistep procedure, topology optimization",

author = "Yoshifumi Okamoto and Yusuke Tominaga and Shinji Wakao and Shuji Sato",

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AU - Okamoto, Yoshifumi

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AU - Sato, Shuji

PY - 2014

Y1 - 2014

N2 - This study derives a high performance flux barrier for an interior permanent magnet (IPM) motor using binary-based topology optimization (TO). TO has a higher degree of optimization than size or shape optimization. An IPM motor has many design parameters including the current phase angle, core shape of rotor and stator, and magnet position and shape. The flux barrier in an IPM motor plays a particularly important role, influencing several characteristics. We apply TO, using a multistep genetic algorithm, to the rotor core in order to determine a flux barrier with the highest torque performance.

AB - This study derives a high performance flux barrier for an interior permanent magnet (IPM) motor using binary-based topology optimization (TO). TO has a higher degree of optimization than size or shape optimization. An IPM motor has many design parameters including the current phase angle, core shape of rotor and stator, and magnet position and shape. The flux barrier in an IPM motor plays a particularly important role, influencing several characteristics. We apply TO, using a multistep genetic algorithm, to the rotor core in order to determine a flux barrier with the highest torque performance.

KW - Flux barrier

KW - IPM motor

KW - genetic algorithm

KW - multistep procedure

KW - topology optimization

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Topology design method of flux barrier in IPM motor by means of genetic algorithm implemented by multistep procedure

Abstract

Keywords

ASJC Scopus subject areas

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