Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Topology Optimization Using Gabor Filter : Application to Synchronous Reluctance Motor
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
|