Sensorless control application of PMSM with a novel adaptation mechanism

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dc.contributor.authorDursun, Mustafa
dc.contributor.authorBoz, Ali Fuat
dc.contributor.authorKale, Murat
dc.contributor.authorKarabacak, Murat
dc.date.accessioned2020-04-30T23:31:50Z
dc.date.available2020-04-30T23:31:50Z
dc.date.issued2018
dc.departmentDÜ, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.descriptionKALE, MURAT/0000-0002-3814-9009; Dursun, Mustafa/0000-0001-9952-9358; Boz, Ali Fuat/0000-0001-6575-7678; Karabacak, Murat/0000-0001-6468-8471en_US
dc.descriptionWOS: 000422933800009en_US
dc.description.abstractThis paper proposes a novel adaptation design to replace the classical proportional-integral controller used in model reference adaptive system (MRAS) speed estimation. The proposed adaptation scheme is an association of two fuzzy units. The rules of each module were obtained by user experience and numerical data. In the traditional fuzzy logic controllers, the computational complication enhances with the attributes of the system variable quantities; the number of rules increases incrementally while the number of control variables increases. This negatively affects the response time of the system. This novel design was deduced to reduce the number of rules for a linear function of system variables. By this way, the response of the system became faster. Detailed simulation and experimental results were obtained for comparison of this novel method with traditional MRAS techniques. The results showed that the proposed method was faster in speed tracking and exhibited higher prediction accuracy and less oscillation than the traditional method. Thus, the proposed MRAS method was clearly seen to be applicable and reliable.en_US
dc.description.sponsorshipDuzce University Scientific Research Projects Coordination Unit [2015.07.03.364]en_US
dc.description.sponsorshipThis work was supported by the number of Duzce University Scientific Research Projects Coordination Unit with number of 2015.07.03.364.en_US
dc.identifier.doi10.1007/s00521-016-2384-7en_US
dc.identifier.endpage103en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage87en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-016-2384-7
dc.identifier.urihttps://hdl.handle.net/20.500.12684/4492
dc.identifier.volume29en_US
dc.identifier.wosWOS:000422933800009en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectModel reference adaptive systemen_US
dc.subjectProportional integralen_US
dc.subjectFuzzy logicen_US
dc.titleSensorless control application of PMSM with a novel adaptation mechanismen_US
dc.typeArticleen_US

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