Design optimization and analysis of switched reluctance motor using genetic algorithm optimization technique

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dc.contributor.authorN. Patel, Amiteng
dc.date.accessioned2025-02-06 00:00:00
dc.date.available2025-02-06 00:00:00
dc.date.issued2025-02-06
dc.description.abstractThis paper presents efficiency optimization of switched reluctance motor based on genetic algorithm optimization technique. Switched reluctance motor (SRM) is considered for various applications due to its simple and robust construction. It is very essential to improve efficiency of switched reluctance motor. In this paper, optimization of 8/6 switched reluctance motor is achieved by using genetic algorithm with efficiency as its objective function. The objective of the paper is to identify the best switched reluctance motor design that provides better efficiency to satisfy the unique requirements of various applications. Using finite element analysis, a design validation of motor and characterization was made. It is analyzed that analytical results and simulation results are very close which establishes correctness of designs. The optimization result shows that the newly developed SRM design achieved better efficiency. The efficiency is increased from 82.75 % to 86.19 % with minor increase in weight. Improvement in efficiency can lead to lower energy usage, longer motor life span, and better performance.eng
dc.format.mimetypeapplication/pdfeng
dc.identifier.doi10.32397/tesea.vol6.n1.659
dc.identifier.eissn2745-0120
dc.identifier.urlhttps://doi.org/10.32397/tesea.vol6.n1.659
dc.language.isoengeng
dc.publisherUniversidad Tecnológica de Bolívareng
dc.relation.bitstreamhttps://revistas.utb.edu.co/tesea/article/download/659/438
dc.relation.citationeditionNúm. 1 , Año 2025 : Transactions on Energy Systems and Engineering Applicationseng
dc.relation.citationendpage13
dc.relation.citationissue1eng
dc.relation.citationstartpage1
dc.relation.citationvolume6eng
dc.relation.ispartofjournalTransactions on Energy Systems and Engineering Applicationseng
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dc.rightsAmit N. Patel - 2025eng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesseng
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2eng
dc.rights.creativecommonsThis work is licensed under a Creative Commons Attribution 4.0 International License.eng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0eng
dc.sourcehttps://revistas.utb.edu.co/tesea/article/view/659eng
dc.subjectSwitched Reluctance Motoreng
dc.subjectDesign Optimizationeng
dc.subjectGenetic Algorithmseng
dc.subjectParametric Analysiseng
dc.subjectFinite Element Analysiseng
dc.titleDesign optimization and analysis of switched reluctance motor using genetic algorithm optimization techniquespa
dc.title.translatedDesign optimization and analysis of switched reluctance motor using genetic algorithm optimization techniquespa
dc.typeArtículo de revistaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_6501eng
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85eng
dc.type.contentTexteng
dc.type.driverinfo:eu-repo/semantics/articleeng
dc.type.localJournal articleeng
dc.type.versioninfo:eu-repo/semantics/publishedVersioneng

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