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

^*この研究の対応する著者

先進理工学部

研究成果: Article › 査読

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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.

本文言語	English
ページ（範囲）	381-387
ページ数	7
ジャーナル	International Journal of Applied Electromagnetics and Mechanics
巻	46
号	2
DOI	https://doi.org/10.3233/JAE-141949
出版ステータス	Published - 2014

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
材料力学
機械工学
電子工学および電気工学

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

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.",

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

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AU - Sato, Shuji

PY - 2014

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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

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