An improved torque sharing function to minimize torque ripple and increase average torque for switched reluctance motor drives

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dc.authorid0000-0001-8577-3659
dc.contributor.authorÜstün, Oğuz
dc.contributor.authorÖnder, Mithat
dc.date.accessioned2021-06-23T19:54:00Z
dc.date.available2021-06-23T19:54:00Z
dc.date.issued2020
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis article presents a novel torque ripple minimization approach based on the genetic algorithm (GA) for the switched reluctance motor (SRM) drives. The fitness function of the GA is designed on the basis of two main optimization criteria. The first optimization criteria; three objectives are defined to optimize commutation angles minimizing torque ripple and copper loss. The second optimization criteria; an objective is defined to eliminate the negative torque which decreases the average torque in SRM drives. The achievement of all objectives depends on the adjusting appropriate the commutation angles of the torque sharing functions (TSF) during the commutation period. All of conventional TSFs are dependent on three different commutation angles, namely turn-on, turn-off, and overlapping. Due to the nonlinear phase inductances of SRM, the delay of current rising and falling time are not unity in overlapping commutation region. To overcome the separation of the incoming and outgoing phase currents during the commutation region, rise angle, and fall angle are used instead of overlapping angle. GA is used to optimize the commutation angles of conventional (sinusoidal) TSF and improved (sinusoidal) TSF. At the same time, the elimination negative torque effects on torque ripple, average torque, and copper loss is investigated.en_US
dc.identifier.doi10.1080/15325008.2020.1797939
dc.identifier.endpage681en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue6-7en_US
dc.identifier.scopus2-s2.0-85089182059en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage667en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2020.1797939
dc.identifier.urihttps://hdl.handle.net/20.500.12491/10371
dc.identifier.volume48en_US
dc.identifier.wosWOS:000556478200001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÜstün, Oğuz
dc.institutionauthorÖnder, Mithat
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofElectric Power Components And Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSwitched Reluctance Motor Drivesen_US
dc.subjectTorque Ripple Minimizationen_US
dc.subjectTorque Sharing Functionen_US
dc.subjectAverage Torqueen_US
dc.subjectCopper Lossen_US
dc.subjectGenetic Algorithmen_US
dc.titleAn improved torque sharing function to minimize torque ripple and increase average torque for switched reluctance motor drivesen_US
dc.typeArticleen_US

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