Heuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machines

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dc.contributor.authorMutluer, Mumtaz
dc.contributor.authorSahman, Mehmet Akif
dc.contributor.authorCunkas, Mehmet
dc.date.accessioned2024-02-23T14:00:04Z
dc.date.available2024-02-23T14:00:04Z
dc.date.issued2020
dc.departmentNEÜen_US
dc.description.abstractThis paper aims to provide a smart design to improve the efficiency of surface permanent magnet synchronous motor. An efficient design strategy involving penalty approaches are considered for extracting all the possible parameter combinations and the solutions in the infeasible region. We compare the performance of tree heuristic optimization algorithms and six penalty methods. The heuristic optimization algorithms are: particle swarm optimization, differential search algorithm, and tree seed algorithm. The penalty methods are: three of which are static penalty approaches, two of dynamic penalty approaches, and Deb's rule. Besides, the optimized motor design is tested with finite element analysis. Two conclusions were drawn from the experiments. First, heuristic algorithms using penalty approaches had significantly better performance compared to standard and popular heuristic algorithms. This emphasizes the importance of using heuristic algorithms with penalty approaches in SPMSM design optimization. Second, the compatibility of design optimization and numerical analysis results are acceptable and highly satisfactory for surface permanent magnet synchronous motor design. According to the analytical design, a 4% improvement in efficiency was achieved with the proposed approach.en_US
dc.identifier.doi10.1007/s13369-020-04689-y
dc.identifier.endpage6767en_US
dc.identifier.issn2193-567X
dc.identifier.issn2191-4281
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85086705051en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage6751en_US
dc.identifier.urihttps://doi.org/10.1007/s13369-020-04689-y
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11442
dc.identifier.volume45en_US
dc.identifier.wosWOS:000541402900001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofArabian Journal For Science And Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHeuristic Algorithmsen_US
dc.subjectPenalty Functionen_US
dc.subjectFinite Element Analysisen_US
dc.subjectSpmsmen_US
dc.subjectConstrained Optimizationen_US
dc.titleHeuristic Optimization Based on Penalty Approach for Surface Permanent Magnet Synchronous Machinesen_US
dc.typeArticleen_US

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