DSP based fuzzy-neural speed tracking control of brushless DC motor

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dc.contributor.authorGencer, Cetin
dc.contributor.authorSaygin, Ali
dc.contributor.authorCoskun, Ismail
dc.date.accessioned2026-08-12T16:58:44Z
dc.date.issued2006
dc.departmentFırat Üniversitesi
dc.description14th Turkish Symposium on Artificial Intelligence and Neural Networks -- JUN 16-17, 2005 -- Izmir, TURKEY
dc.description.abstractIn this paper, Fuzzy-Neural control architecture is applied in order to construct precise speed control of brushless DC motor (BLDC) in high performance applications. BLDC motors have been becoming popular owing to high torque density, large power to weight ratio, high efficiency, high power factor, and robustness. The proposed controller is successfully implemented in real time using a digital signal processor (DSP) board DS1104 for BLDC motor. The effectiveness of the proposed controller is verified by as well as experimental results of different dynamic operating conditions. The software of system is developed in dSPACE Control Desk.
dc.description.sponsorshipIzmir Inst Technol, EE & CE Depts,Turkish Sci & Res Council,Izmir Branch Chamber Elect & Elect Engineers
dc.identifier.endpage116
dc.identifier.isbn3-540-36713-6
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.orcid0000-0002-1716-0516
dc.identifier.startpage107
dc.identifier.urihttps://hdl.handle.net/11508/47011
dc.identifier.volume3949
dc.identifier.wosWOS:000239585200013
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherSpringer-Verlag Berlin
dc.relation.ispartofArtificial Intelligence and Neural Networks
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.titleDSP based fuzzy-neural speed tracking control of brushless DC motor
dc.typeConference Object

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