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dc.contributor.authorPrakht, V.en
dc.contributor.authorDmitrievskii, V.en
dc.contributor.authorKazakbaev, V.en
dc.contributor.authorAndriushchenko, E.en
dc.date.accessioned2021-08-31T15:06:47Z-
dc.date.available2021-08-31T15:06:47Z-
dc.date.issued2021-
dc.identifier.citationComparison of flux-switching and interior permanent magnet synchronous generators for direct-drivenwind applications based on nelder-mead optimal designing / V. Prakht, V. Dmitrievskii, V. Kazakbaev, et al. — DOI 10.3390/math9070732 // Mathematics. — 2021. — Vol. 9. — Iss. 7. — 732.en
dc.identifier.issn22277390-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85103541249&doi=10.3390%2fmath9070732&partnerID=40&md5=6dd5ee9ec0f7123cbadb49fd5da18006
dc.identifier.otherhttps://www.mdpi.com/2227-7390/9/7/732/pdfm
dc.identifier.urihttp://elar.urfu.ru/handle/10995/102987-
dc.description.abstractThe permanentmagnet flux-switchingmachine (PMFSM) is one of themost promisingmachines withmagnets inserted into the stator. To determine inwhich applications the use of PMFSMis promising, it is essential to compare the PMFSMwithmachines of other types. This study provides a theoretical comparison of the PMFSMwith a conventional interior permanentmagnet synchronousmachine (IPMSM) in the gearless generator of a low-power wind turbine (332 rpm, 51.4 Nm). To provide a fair comparison, both machines are optimized using the Nelder-Mead algorithm. The minimized optimization objectives are the required power of frequency converter, cost of active materials, torque ripple and losses of a generator averaged over the working profile of the wind turbine. In order to reduce the computational time, the substituting profile method is applied. Based on the results of the calculations, the advantages and disadvantages of the considered machines were revealed: the IPMSM has significantly lower losses and higher efficiency than the PMFSM, and the PMFSM requires much less rare-earth magnets and copper and is, therefore, cheaper in mass production. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMDPI AGen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceMathematics2
dc.sourceMathematicsen
dc.subjectDIRECT-DRIVEen
dc.subjectELECTRIC MACHINE ANALYSIS COMPUTINGen
dc.subjectINTERIOR PERMANENT MAGNET MACHINEen
dc.subjectMATHEMATICAL MODELen
dc.subjectOPTIMAL-DESIGNen
dc.subjectPERMANENT MAGNET FLUX-SWITCHING MACHINEen
dc.subjectWIND GENERATORen
dc.titleComparison of flux-switching and interior permanent magnet synchronous generators for direct-drivenwind applications based on nelder-mead optimal designingen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/math9070732-
dc.identifier.scopus85103541249-
local.contributor.employeePrakht, V., Department of Electrical Engineering and Electric Technology Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeDmitrievskii, V., Department of Electrical Engineering and Electric Technology Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeKazakbaev, V., Department of Electrical Engineering and Electric Technology Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.employeeAndriushchenko, E., Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Tallinn, 19086, Estonia
local.issue7-
local.volume9-
dc.identifier.wos000638696400001-
local.contributor.departmentDepartment of Electrical Engineering and Electric Technology Systems, Ural Federal University, Yekaterinburg, 620002, Russian Federation
local.contributor.departmentDepartment of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Tallinn, 19086, Estonia
local.identifier.pure21181288-
local.identifier.pure718b9554-17cd-4bed-ba51-a2d721f6e98fuuid
local.description.order732-
local.identifier.eid2-s2.0-85103541249-
local.identifier.wosWOS:000638696400001-
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