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dc.contributor.author우동균ko
dc.contributor.author김일우[김일우]ko
dc.contributor.author노종석[노종석]ko
dc.contributor.author정현교[정현교]ko
dc.date.accessioned2015-12-17T04:00:16Z-
dc.date.available2015-12-17T04:00:16Z-
dc.date.created2015-11-13-
dc.date.issued201409-
dc.identifier.citationJOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, v.9, no.3, pp.859 - 865-
dc.identifier.issn1975-0102-
dc.identifier.urihttp://hdl.handle.net/YU.REPOSITORY/30820-
dc.identifier.urihttp://dx.doi.org/10.5370/JEET.2014.9.3.859-
dc.description.abstractOptimization of an electric machine is mainly a nonlinear multi-modal problem. For the optimization of the multi-modal problem, many function calls are required with much consumption of time. To address this problem, this paper proposes a novel hybrid algorithm in which function calls are less than conventional methods. Specifically, the proposed method uses the kriging metamodel and the fill-blank technique to find an approximated solution in a whole problem region. To increase the convergence speed in local peaks, a parallel gradient assisted simplex method is proposed and combined with the kriging meta-model. The correctness and usefulness of the proposed hybrid algorithm is verified through a mathematical test function and applied into the practical optimization as the cogging torque minimization for an interior permanent magnet synchronous machine.-
dc.language영어-
dc.publisherKOREAN INST ELECTR ENG-
dc.subjectEVOLUTION STRATEGY-
dc.subjectDESIGN TECHNIQUES-
dc.subjectREDUCTION-
dc.subjectMOTORS-
dc.subjectPERFORMANCE-
dc.subjectSPM-
dc.titleMinimization of a Cogging Torque for an Interior Permanent Magnet Synchronous Machine using a Novel Hybrid Optimization Algorithm-
dc.typeArticle-
dc.identifier.wosid000335379800012-
dc.identifier.scopusid2-s2.0-84899966082-
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