Full metadata record
DC FieldValueLanguage
dc.contributor.authorCaramia, Raffaele
dc.contributor.authorPalka, Ryszard
dc.contributor.authorWardach, Martin
dc.contributor.authorPiotuch, Rafal
dc.identifier.citationISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. IV-51-IV-52.en
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.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.subject.translatedpermanent magnet synchronous motorsen
dc.subject.translatedgeometry optimizationen
dc.subject.translatedevolutionary algorithmsen
dc.subject.translatedPareto fronten
Appears in Collections:ISTET 2013
ISTET 2013
ISTET 2013

Files in This Item:
File Description SizeFormat 
Caramia.pdfPlný text233,19 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/11525

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.