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Self-identification of permanent magnet synchronous motor inductance for efficient sensorless control

dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorDilys, Justas
dc.contributor.authorBaskys, Algirdas
dc.date.accessioned2025-12-01T14:09:33Z
dc.date.available2025-12-01T14:09:33Z
dc.date.issued2017
dc.identifier.isbn9781538639993en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159466
dc.description.abstractThe method of self-identification of permanent magnet synchronous motor inductances for efficient sensorless control has been proposed. The application of developed method allows us to improve the efficiency of motor. The method is based on automatic measurement of motor current time derivative for two positions of rotor. The algorithm of inductance estimation, which uses the obtained measurement data, is developed and analyzed. The results of experimental investigation are presented.en_US
dc.format.extent4 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159383en_US
dc.source.urihttps://ieeexplore.ieee.org/document/7950306en_US
dc.subjectpermanent magnet synchronous motoren_US
dc.subjectinverteren_US
dc.subjectsensorless controlen_US
dc.subjectself-identificationen_US
dc.subjectinductanceen_US
dc.titleSelf-identification of permanent magnet synchronous motor inductance for efficient sensorless controlen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2017-06-19
dcterms.references7en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionVilniaus Gedimino technikos universitetasen_US
dc.contributor.institutionVilnius Gediminas Technical Universityen_US
dcterms.sourcetitle2017 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2017, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781538639986en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream.2017.7950306en_US


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