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Topology Optimization of Synchronous Reluctance Motor Using Normalized Gaussian Network

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Title: Topology Optimization of Synchronous Reluctance Motor Using Normalized Gaussian Network
Authors: Sato, Shunpei Browse this author
Sato, Takahiro Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Iron loss
normalized Gaussian network
synchronous reluctance motor (SynRM)
topology optimization
Issue Date: Mar-2015
Publisher: IEEE
Journal Title: IEEE transactions on magnetics
Volume: 51
Issue: 3
Start Page: 8200904
Publisher DOI: 10.1109/TMAG.2014.2359679
Abstract: This paper presents the topology optimization of a synchronous reluctance motor using the normalized Gaussian network. In the optimization, the average torque and iron loss are considered. In the resultant motor, the area of the rotor surface adjacent to the stator is found to be reduced when the weight for the iron loss is sufficiently large. On the other hand, large flux barriers are present in the rotor when the average torque is maximized without considering the iron loss.
Rights: © 2015 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/2115/59620
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: 五十嵐 一

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