Particle Swarm Design Optimisation of Single Phase Permanent Magnet Brushless DC Motor

dc.contributor.authorCvetkovski, Goga
dc.contributor.authorPetkovska, Lidija
dc.contributor.authorLefley, Paul
dc.date.accessioned2014-06-27T12:19:09Z
dc.date.available2014-06-27T12:19:09Z
dc.date.issued2013
dc.description.abstractIn this paper a particle swarm based optimal design of single-phase permanent magnet brushless DC motor (SPBLDCM) is proposed. This approach employs a particleswarm- optimisation (PSO) technique as a search tool for optimal design solution of a SPBLDCM based on the value of the objective function. The efficiency of the motor is selected as an objective function. Several optimisation solutions are analysed and a best solution is proposed based on the optimisation parameters, as well as other important motor parameters. An overall comparison of the best optimal solution and the prototype model of the motor is presented.en
dc.format2 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationISTET 2013: International Symposiumon Theoretical Electrical Engineering: 24th – 26th June 2013: Pilsen, Czech Republic, p. I-49-I-50.en
dc.identifier.isbn978-80-261-0246-5
dc.identifier.urihttp://hdl.handle.net/11025/11463
dc.language.isoenen
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesISTET: International Symposium on Theoretical Electrical Engineeringen
dc.rights© University of West Bohemiaen
dc.rights.accessopenAccessen
dc.subjectoptimalizace designucs
dc.subjectoptimalizace částicového rojecs
dc.subjectjednofázový stejnosměrný motor s permanentními magnetycs
dc.subjectenergetická účinnostcs
dc.subject.translateddesign optimizationen
dc.subject.translatedparticle swarm optimisationen
dc.subject.translatedsingle phase permanent magnet DC motoren
dc.subject.translatedenergy efficiencyen
dc.titleParticle Swarm Design Optimisation of Single Phase Permanent Magnet Brushless DC Motoren
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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