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Optimal design of brushless DC motor by utilizing novel coefficient modeling for skewed PM and overhang structure

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DC Field Value Language
dc.contributor.authorHwang, Kyu yun-
dc.contributor.authorRhyu, Se hyun-
dc.contributor.authorKwon, Byung il-
dc.date.accessioned2021-06-23T14:06:38Z-
dc.date.available2021-06-23T14:06:38Z-
dc.date.created2021-01-22-
dc.date.issued2010-05-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/40442-
dc.description.abstractA novel coefficient modeling for skewed PM and overhang structure as a coefficient estimation method is introduced for optimal design in the 2D region for a PM motor. The novel model is constructed using 3D FEM and a response surface method (RSM) based on moving least square method (LSM). Then the novel model is coupled with an additional approximated model for optimal design in the 2D region. Finally, by combining the novel model and evolution algorithm (EA), an optimal design is performed. The usefulness of the proposed design is verified by 3D FEM simulation results. © 2010 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleOptimal design of brushless DC motor by utilizing novel coefficient modeling for skewed PM and overhang structure-
dc.typeArticle-
dc.contributor.affiliatedAuthorKwon, Byung il-
dc.identifier.doi10.1109/CEFC.2010.5480341-
dc.identifier.scopusid2-s2.0-77954774768-
dc.identifier.bibliographicCitationDigests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010-
dc.relation.isPartOfDigests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010-
dc.citation.titleDigests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2010-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusA-coefficient-
dc.subject.keywordPlusEstimation methods-
dc.subject.keywordPlusEvolution algorithms-
dc.subject.keywordPlusFEM simulations-
dc.subject.keywordPlusMoving least square methods-
dc.subject.keywordPlusOptimal design-
dc.subject.keywordPlusOverhang structure-
dc.subject.keywordPlusPM motor-
dc.subject.keywordPlusResponse surface method-
dc.subject.keywordPlusBrushless DC motors-
dc.subject.keywordPlusD region-
dc.subject.keywordPlusDC motors-
dc.subject.keywordPlusElectromagnetic field measurement-
dc.subject.keywordPlusElectromagnetic fields-
dc.subject.keywordPlusEvolutionary algorithms-
dc.subject.keywordPlusFinite element method-
dc.subject.keywordPlusLeast squares approximations-
dc.subject.keywordPlusOptimal systems-
dc.subject.keywordPlusOptimization-
dc.subject.keywordPlusThree dimensional-
dc.subject.keywordPlusTwo dimensional-
dc.subject.keywordPlusStructural design-
dc.subject.keywordAuthorMoving least square methods-
dc.subject.keywordAuthorStructural design-
dc.subject.keywordAuthorOptimal systems-
dc.subject.keywordAuthorLeast squares approximations-
dc.subject.keywordAuthorA-coefficient-
dc.subject.keywordAuthorElectromagnetic field measurement-
dc.subject.keywordAuthorEvolution algorithms-
dc.subject.keywordAuthorDC motors-
dc.subject.keywordAuthorEvolutionary algorithms-
dc.subject.keywordAuthorElectromagnetic fields-
dc.subject.keywordAuthorTwo dimensional-
dc.subject.keywordAuthorOptimizatio-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/5480341/-
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