Design Optimization of Pmsm by Particle Swarm Optimization and Genetic Algorithm

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dc.contributor.authorMutluer, Mümtaz
dc.contributor.authorBilgin, Osman
dc.date.accessioned2020-03-26T18:32:41Z
dc.date.available2020-03-26T18:32:41Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831en_US
dc.description.abstractOne of the electric power researches is the design optimization studies of permanent magnet synchronous motors. The main advantages of design optimizations of permanent magnet synchronous motors are to contribute to comfort, cost, and especially to energy savings. Although absence of rotor windings affects efficiencies of permanent magnet synchronous motors, stringent selection of values of geometrical design parameters affects the efficiency. Artificial intelligence techniques are satisfactory in choosing of design parameters of electric motors. This study aims to provide the design optimization of surface mounted permanent magnet synchronous motor thus. First of all geometrical design parameters of the motor were identified and then preliminary analytical design and design optimization by using genetic algorithm and particle swarm algorithm were studied. The obtained efficiency results were compared with each others and the results is satisfactory. © 2012 IEEE.en_US
dc.identifier.citationMutluer, M., Bilgin, O., (2012). Design Optimization of Pmsm by Particle Swarm Optimization and Genetic Algorithm. Inısta 2012 - International Symposium on Innovations in Intelligent Systems and Applications, 2012, 1-4.
dc.identifier.doi10.1109/INISTA.2012.6247024en_US
dc.identifier.isbn9.78147E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1109/INISTA.2012.6247024
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28753
dc.indekslendigikaynakScopusen_US
dc.institutionauthorMutluer, Mümtaz
dc.institutionauthorBilgin, Osman
dc.language.isoenen_US
dc.relation.ispartofInısta 2012 - International Symposium on Innovations in Intelligent Systems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectgenetic algorithmen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectpermanent magnet synchronous motor designen_US
dc.titleDesign Optimization of Pmsm by Particle Swarm Optimization and Genetic Algorithmen_US
dc.typeConference Objecten_US

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