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Topology Optimization Using Gabor Filter : Application to Synchronous Reluctance Motor

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Title: Topology Optimization Using Gabor Filter : Application to Synchronous Reluctance Motor
Authors: Otomo, Yoshitsugu Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Gabor filter
genetic algorithm (GA)
synchronous reluctance motor (SynRM)
topology optimization
Issue Date: Jun-2021
Publisher: IEEE
Journal Title: IEEE Transactions on Magnetics
Volume: 57
Issue: 6
Start Page: 8203004
Publisher DOI: 10.1109/TMAG.2021.3057402
Abstract: This article proposes a novel topology optimization method using the Gabor filter, which is widely used in the field of image processing. The proposed method is applied to the optimization of a synchronous reluctance motor; its average torque is maximized, and simultaneously, the torque ripple is minimized. It is shown that the proposed method results in a motor with thin layer-shaped flux barriers, which achieves a better torque performance in comparison with a conventional model and a motor optimized using normalized Gaussian network (NGnet).
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Type: article (author version)
URI: http://hdl.handle.net/2115/81403
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 大友 佳嗣

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