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Fast Analysis of Rotating Machine Using Simplified Model-Order Reduction Based on POD
Title: | Fast Analysis of Rotating Machine Using Simplified Model-Order Reduction Based on POD |
Authors: | Sakamoto, Hiroki Browse this author | Okamoto, Kazuya Browse this author | Igarashi, Hajime Browse this author →KAKEN DB |
Keywords: | Behavior model | dynamic mode decomposition (DMD) | model-order reduction (MOD) | proper orthogonal decomposition (POD) | rotating machine |
Issue Date: | Feb-2020 |
Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
Journal Title: | IEEE transactions on magnetics |
Volume: | 56 |
Issue: | 2 |
Start Page: | 7506104 |
Publisher DOI: | 10.1109/TMAG.2019.2947300 |
Abstract: | This article proposes a simplified model-order reduction for the fast dynamic simulation of electric motors. The magnetic fields are snapshotted for different input currents at each mechanical angle to construct a data matrix. The basis vectors are then computed by the singular value decomposition applied to the data matrix. The interpolation along the mechanical angle is performed by the dynamic mode decomposition. Fast computation of the magnetic field for arbitrary input current and mechanical angle is performed through interpolation of the basis vectors in the space of input currents for the dynamic analysis of motors. |
Rights: | © 2020 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/2115/76843 |
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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Submitter: 五十嵐 一
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