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dc.contributor.authorCaramia, Raffaele
dc.contributor.authorPalka, Ryszard
dc.contributor.authorWardach, Martin
dc.contributor.authorPiotuch, Rafal
dc.date.accessioned2014-07-17T13:49:55Z
dc.date.available2014-07-17T13:49:55Z
dc.date.issued2013
dc.identifier.citationISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. IV-51-IV-52.en
dc.identifier.isbn978-80-261-0246-5
dc.identifier.urihttp://hdl.handle.net/11025/11525
dc.description.abstractThis paper presents a methodology for the optimization of a Surface mounted Permanent Magnet Synchronous Motor (SPMSM) with 4 poles and 24 slots. In particular, it is focused on a multiobjective optimization using a genetic algorithm developed in Matlab with Optimization Toolbox that is coupled with Maxwell 14. The first one has been used for the optimization and the post-processing of the data, the second one for the Finite Element (FE) analysis and for the geometry creation. Aim of the optimization was to maximize the nominal torque and minimize the mass of a motor.en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesISTET: International Symposium on Theoretical Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.subjectsynchronní motory s permanentními magnetycs
dc.subjectgeometrická optimalizacecs
dc.subjectevoluční algoritmycs
dc.subjectParetova frontacs
dc.titleMultiobjective Geometry Optimization of a SPMSM Using an Evolutionary Algorithmen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedpermanent magnet synchronous motorsen
dc.subject.translatedgeometry optimizationen
dc.subject.translatedevolutionary algorithmsen
dc.subject.translatedPareto fronten
dc.type.statusPeer-revieweden
Appears in Collections:ISTET 2013
ISTET 2013
ISTET 2013

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