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Optimization of SynRM for High Efficiency Considering Airgap Flux Density Shape

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dc.contributor.authorKang, Junho-
dc.contributor.authorKim, Jeongwo-
dc.contributor.authorPark, Yeji-
dc.contributor.authorKim, Changhyu-
dc.contributor.authorLee, Ju-
dc.contributor.authorKim, Hyunwoo-
dc.date.accessioned2023-01-25T10:10:05Z-
dc.date.available2023-01-25T10:10:05Z-
dc.date.created2023-01-05-
dc.date.issued2022-10-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/182246-
dc.description.abstractThis paper presents the rotor optimization to improve the motor efficiency for air ventilation system in railway station. SynRM creates a salient ratio through a barrier inside the rotor, and electrical characteristics can be improved through magnitude of this ratio. However, depending on the location and shape of the barrier, electromagnetic output characteristic(torque, efficiency, and ripple) may change due to saturation level and permeance variance even though the salient ratio is the same. Therefore, in this paper, design variable capable of affecting saturation and permeance variance such as the position of the barrier and the salient ratio is analyzed, and the optimal shape that can obtain the best output under the constraint condition is derived through the RSM(Response Surface Method). Finally, the validity of this study was verified through FEA simulation and experiment.-
dc.language영어-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleOptimization of SynRM for High Efficiency Considering Airgap Flux Density Shape-
dc.typeArticle-
dc.contributor.affiliatedAuthorLee, Ju-
dc.identifier.doi10.1109/CEFC55061.2022.9940821-
dc.identifier.scopusid2-s2.0-85143055475-
dc.identifier.wosid000942521800170-
dc.identifier.bibliographicCitationCEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings, pp.1 - 2-
dc.relation.isPartOfCEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings-
dc.citation.titleCEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings-
dc.citation.startPage1-
dc.citation.endPage2-
dc.type.rimsART-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusEfficiency-
dc.subject.keywordPlusVentilation-
dc.subject.keywordPlusAir gap flux density-
dc.subject.keywordPlusAir ventilation-
dc.subject.keywordPlusBarrier-
dc.subject.keywordPlusHigher efficiency-
dc.subject.keywordPlusMotor efficiencies-
dc.subject.keywordPlusOptimisations-
dc.subject.keywordPlusRailway stations-
dc.subject.keywordPlusResponse surfaces methods-
dc.subject.keywordPlusSynRM-
dc.subject.keywordPlusVentilation systems-
dc.subject.keywordAuthorAirgap Flux Density-
dc.subject.keywordAuthorBarrier-
dc.subject.keywordAuthorRSM-
dc.subject.keywordAuthorSynRM-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/9940821-
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