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dc.contributor.author | Matsuo, Tetsuji | en |
dc.contributor.author | Takahashi, Yasuhito | en |
dc.contributor.author | Sugahara, Kengo | en |
dc.contributor.alternative | 松尾, 哲司 | ja |
dc.date.accessioned | 2024-02-28T01:13:45Z | - |
dc.date.available | 2024-02-28T01:13:45Z | - |
dc.date.issued | 2024-03 | - |
dc.identifier.uri | http://hdl.handle.net/2433/287095 | - |
dc.description.abstract | A motor model order reduction (MOR) based on the decomposition into stator and rotor domains requires a Fourier expansion of the gap field with a large of number harmonic components, which are handled by the multiport Cauer ladder network (CLN) method. This study proposes a block Arnoldi method to obtain a reduced representation of spatial harmonics. Efficient bases for reduced harmonic representation were generated based on the inductance matrices of CLNs of stator and rotor domains. The interaction between the stator and rotor domains was considered by exchanging the basis vectors. Simulation results show that the proposed method yields an efficient and accurate MOR of the induction motor. | en |
dc.language.iso | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.rights | © 2023 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. | en |
dc.rights | This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 | en |
dc.subject | Block Arnoldi process | en |
dc.subject | Cauer ladder network | en |
dc.subject | induction motor | en |
dc.subject | model order reduction | en |
dc.subject | spatial harmonics | en |
dc.title | Reduced Representation of Spatial Harmonics for Motor Model Order Reduction Using Block Arnoldi Method | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | IEEE Transactions on Magnetics | en |
dc.identifier.volume | 60 | - |
dc.identifier.issue | 3 | - |
dc.relation.doi | 10.1109/tmag.2023.3302859 | - |
dc.textversion | author | - |
dc.identifier.artnum | 8200504 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 20K04443 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K04443/ | - |
dc.identifier.pissn | 0018-9464 | - |
dc.identifier.eissn | 1941-0069 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | マルチスケール・マルチフィジクスモデル縮約による高精度モータシミュレーターの開発 | ja |
出現コレクション: | 学術雑誌掲載論文等 |
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