An artificial neural network approach for sensorless speed estimation via rotor slot harmonics

Basit Öğe Kaydı
dc.contributor.authorArabaci, Hayri
dc.date.accessioned2020-03-26T18:49:20Z
dc.date.available2020-03-26T18:49:20Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper, a sensorless speed estimation method with an artificial neural network for squirrel cage induction motors is presented. Motor current is generally used for sensorless speed estimation. Rotor slot harmonics are available in the frequency spectrum of the current. The frequency components of these determined harmonics are used to estimate the speed of the motor in which the number of rotor slots is given. In the literature, individual algorithms have been used to calculate the speed from the slot harmonics. Unlike the literature, in the proposed method, an artificial neural network is used to extract the speed from the rotor slot harmonic components in the spectrum. This experimental study is carried out to prove the method under steady-state conditions. The experimental results show that the proposed method is suitable for speed estimation and its average error is below 1.5 rpm.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThe study is supported by the Scientific Research Project of Selcuk University.en_US
dc.identifier.doi10.3906/elk-1212-47en_US
dc.identifier.endpage1084en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1076en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1212-47
dc.identifier.urihttps://hdl.handle.net/20.500.12395/30586
dc.identifier.volume22en_US
dc.identifier.wosWOS:000337376500019en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSensorless speed estimationen_US
dc.subjectinduction motoren_US
dc.subjectrotor slot harmonicsen_US
dc.subjectartificial neural networken_US
dc.titleAn artificial neural network approach for sensorless speed estimation via rotor slot harmonicsen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
TR-Dizin İndeksli Yayınlar Koleksiyonu