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Particle Swarm Optimization Implementation on PMSM Design

dc.contributor.authorSoygenc, O. C.
dc.contributor.authorErgene, L T.
dc.date.accessioned2026-01-24T23:05:10Z
dc.date.issued2020-06-01
dc.description.abstractNowadays most of design changes in electrical machines are made by applying many different design algorithms to reach the best operating point. In this paper particle swarm optimization (PSO) is used for optimization of a permanent magnet synchronous motor (PMSM). Finite element method (FEM) is preferred for the numerical solution to validate the optimization results. The numerical results of the reference motor and optimized motor are compared in terms of the efficiency and other performance indicators. The improvements are achieved for the optimized motor with the same motor requirements.
dc.description.urihttps://doi.org/10.1109/siela49118.2020.9167068
dc.description.urihttps://dx.doi.org/10.1109/siela49118.2020.9167068
dc.identifier.doi10.1109/siela49118.2020.9167068
dc.identifier.openairedoi_dedup___::33f801b2cdf92fa490d155565bcc3538
dc.identifier.orcid0000-0002-5521-0043
dc.identifier.urihttps://hdl.handle.net/11527/39427
dc.publisherIEEE
dc.relation.ispartof2020 21st International Symposium on Electrical Apparatus & Technologies (SIELA)
dc.rightsCLOSED
dc.sdg.typeGoal 7: Affordable and Clean Energy
dc.titleParticle Swarm Optimization Implementation on PMSM Design
dc.typeArticle
dspace.entity.typePublication

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