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Fast Finite-Element Analysis of Motors Using Block Model Order Reduction

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/61519

Title: Fast Finite-Element Analysis of Motors Using Block Model Order Reduction
Authors: Shimotani, Toshihito Browse this author
Sato, Yuki Browse this author
Sato, Takahiro Browse this author
Igarashi, Hajime Browse this author →KAKEN DB
Keywords: Finite-element (FE) analysis
interior permanent magnet (IPM) motor
model order reduction (MOR)
proper orthogonal decomposition (POD)
Issue Date: Mar-2016
Publisher: IEEE (Institute of Electrical and Electronics Engineers)
Journal Title: IEEE transactions on magnetics
Volume: 52
Issue: 3
Start Page: 7207004
Publisher DOI: 10.1109/TMAG.2015.2482542
Abstract: This paper proposes a model order reduction (MOR) based on the proper orthogonal decomposition (POD) to perform a fast analysis of motors. When a POD-based MOR is applied to the motor analysis, the number of basis vectors has to be increased to express the changes in the magnetic fields due to a rotational movement. Its computational efficiency is, thus, greatly deteriorated. To overcome this difficulty, the block-MOR is first applied to a motor analysis. In this method, a parameter space is subdivided into several blocks, which correspond to angular ranges in the motor analysis, in each of which the basis vectors are constructed from snapshotted fields. The computational time of the block-MOR is shown to be shorter than that of the conventional MOR, while the accuracy of both the methods is almost identical.
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/2115/61519
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)

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