Sensorless control of the Permanent Magnet Synchronous Motor using neural networks

Basit Öğe Kaydı
dc.contributor.authorUnal, Sencer
dc.contributor.authorOzdemir, Mehmet
dc.date.accessioned2026-08-12T16:35:05Z
dc.date.issued2007
dc.departmentFırat Üniversitesi
dc.descriptionJoint Conference on Electromotion/IEEE Aegean Conference on Electrical Machines and Power Electronics/ -- SEP 10-12, 2007 -- Bodrum, TURKEY
dc.description.abstractIn this paper, a neural network based rotor position control and speed estimation method for Permanent Magnet Synchronous Motor (PMSM) is proposed. The proposed method has three recurrent neural networks. They are used for estimating stator current, rotor speed, and rotor position angle. Each of them is trained in two steps: off-line training for learning dynamic of PMSM and on-line training for realizing parameter adaptation of PMSM. Sensorless control of the permanent magnet synchronous motor using neural networks is simulated in MATLAB/Simulink.
dc.description.sponsorshipMiddle East Tech Univ,IEEE,PELS,PES
dc.identifier.endpage+
dc.identifier.isbn978-1-4244-0890-0
dc.identifier.scopus2-s2.0-51249118366
dc.identifier.scopusqualityN/A
dc.identifier.startpage638
dc.identifier.urihttps://hdl.handle.net/11508/44742
dc.identifier.wosWOS:000256943100111
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartofInternational Aegean Conference on Electrical Machines and Power Electronics & Electromotion, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.titleSensorless control of the Permanent Magnet Synchronous Motor using neural networks
dc.typeConference Object

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu