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dc.contributor.authorParamonov, A.en
dc.contributor.authorOshurbekov, S.en
dc.contributor.authorKazakbaev, V.en
dc.contributor.authorPrakht, V.en
dc.contributor.authorDmitrievskii, V.en
dc.contributor.authorGoman, V.en
dc.date.accessioned2024-04-05T16:28:19Z-
dc.date.available2024-04-05T16:28:19Z-
dc.date.issued2023-
dc.identifier.citationParamonov, A, Oshurbekov, S, Kazakbaev, V, Prakht, V, Dmitrievskii, V & Goman, V 2023, 'Comparison of Differential Evolution and Nelder–Mead Algorithms for Identification of Line-Start Permanent Magnet Synchronous Motor Parameters', Applied Sciences, Том. 13, № 13, 7586. https://doi.org/10.3390/app13137586harvard_pure
dc.identifier.citationParamonov, A., Oshurbekov, S., Kazakbaev, V., Prakht, V., Dmitrievskii, V., & Goman, V. (2023). Comparison of Differential Evolution and Nelder–Mead Algorithms for Identification of Line-Start Permanent Magnet Synchronous Motor Parameters. Applied Sciences, 13(13), [7586]. https://doi.org/10.3390/app13137586apa_pure
dc.identifier.issn2076-3417-
dc.identifier.otherFinal2
dc.identifier.otherAll Open Access, Gold3
dc.identifier.otherhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85164924304&doi=10.3390%2fapp13137586&partnerID=40&md5=7cb1d3b25ac6dc6c540d8a2b8e18b3711
dc.identifier.otherhttps://www.mdpi.com/2076-3417/13/13/7586/pdf?version=1687862496pdf
dc.identifier.urihttp://elar.urfu.ru/handle/10995/130644-
dc.description.abstractFeatured Application: The findings of this study can be applied in the design and experimental investigation of line-start permanent magnet motors. Line-start permanent magnet synchronous motors (LSPMSMs) are of great interest to researchers because of their high energy efficiency, due to the growing interest of manufacturers in energy-efficient units. However, LSPMSMs face some difficulties in starting and synchronization processes. The LSPMSM lumped parameter model is applicable to estimating the successfulness of starting and further synchronization. The parameters of such a model can be determined using computer-aided identification algorithms applied to real motor transient processes’ curves. This problem demands significant computational time. A comparison between two algorithms, differential evolution and Nelder–Mead, is presented in this article. The algorithms were used for 0.55 kW, 1500 rpm LSPMSM parameter identification. Moreover, to increase computational speed, it is proposed to stop and restart the algorithms’ procedures, changing their parameters after a certain number of iterations. A significant advantage of the Nelder–Mead algorithm is shown for the solving of the considered problem. © 2023 by the authors.en
dc.description.sponsorshipMinistry of Education and Science of the Russian Federation, Minobrnauka: FEUZ-2023-0013en
dc.description.sponsorshipThe work was partially supported by the Ministry of Science and Higher Education of the Russian Federation (through the basic part of the government mandate, Project No. FEUZ-2023-0013).en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightscc-byother
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/unpaywall
dc.sourceApplied Sciences2
dc.sourceApplied Sciences (Switzerland)en
dc.subjectDIFFERENTIAL EVOLUTION ALGORITHMen
dc.subjectELECTRIC MOTORSen
dc.subjectENERGY EFFICIENCY CLASSen
dc.subjectENERGY SAVINGen
dc.subjectLINE-START PERMANENT MAGNET SYNCHRONOUS MOTORen
dc.subjectMOTOR STARTINGen
dc.subjectNELDER–MEAD ALGORITHMen
dc.titleComparison of Differential Evolution and Nelder–Mead Algorithms for Identification of Line-Start Permanent Magnet Synchronous Motor Parametersen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.type|info:eu-repo/semantics/publishedVersionen
dc.identifier.doi10.3390/app13137586-
dc.identifier.scopus85164924304-
local.contributor.employeeParamonov, A., Department of Electrical Engineering, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeOshurbekov, S., Department of Electrical Engineering, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeKazakbaev, V., Department of Electrical Engineering, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeePrakht, V., Department of Electrical Engineering, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeDmitrievskii, V., Department of Electrical Engineering, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.employeeGoman, V., Electromechanical Engineering Technology Department, Abu Dhabi Polytechnic, Abu Dhabi, 111499, United Arab Emiratesen
local.issue13-
local.volume13-
dc.identifier.wos001028280400001-
local.contributor.departmentDepartment of Electrical Engineering, Ural Federal University, Yekaterinburg, 620002, Russian Federationen
local.contributor.departmentElectromechanical Engineering Technology Department, Abu Dhabi Polytechnic, Abu Dhabi, 111499, United Arab Emiratesen
local.identifier.pure41989983-
local.description.order7586-
local.identifier.eid2-s2.0-85164924304-
local.identifier.wosWOS:001028280400001-
Располагается в коллекциях:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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