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dc.contributor.authorTobita, Miwaen
dc.contributor.authorMatsuo, Tetsujien
dc.contributor.alternative飛田, 美和ja
dc.contributor.alternative松尾, 哲司ja
dc.date.accessioned2024-08-26T06:10:21Z-
dc.date.available2024-08-26T06:10:21Z-
dc.date.issued2023-05-
dc.identifier.urihttp://hdl.handle.net/2433/289145-
dc.description.abstractThe parameterized Cauer ladder network (CLN) method, which is a recently developed nonlinear model order reduction (MOR) method, was applied to the analysis of a variable reluctance (VR) stepper motor. To represent the magnetic saturation, we parameterized the stator network using the coil magnetic flux and input sequence. The rotor network adopted the CLN to investigate the effect of the eddy current. The CLN method was effective in analyzing the continuous rotation, stepwise rotation, and step-out motion.en
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rights© 2022 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.rightsThis 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.subjectEddy currentsen
dc.subjectmagnetic saturationen
dc.subjectnonlinear model order reduction (MOR)en
dc.subjectparameterized Cauer ladder network (CLN)en
dc.subjectvariable reluctance (VR) stepper motoren
dc.titleNonlinear Model Order Reduction of a Variable Reluctance Stepper Motor Using the Parameterized Cauer Ladder Network Methoden
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleIEEE Transactions on Magneticsen
dc.identifier.volume59-
dc.identifier.issue5-
dc.relation.doi10.1109/tmag.2022.3232701-
dc.textversionauthor-
dc.identifier.artnum8200604-
dcterms.accessRightsopen access-
datacite.awardNumber20K04443-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-20K04443/-
dc.identifier.pissn0018-9464-
dc.identifier.eissn1941-0069-
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
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