Implementation of DSP-based fuzzy neural network-PI controller for PMSM

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dc.contributor.authorGencer, Cetin
dc.date.accessioned2026-08-12T16:35:56Z
dc.date.issued2012
dc.departmentFırat Üniversitesi
dc.description.abstractAn improved Fuzzy Neural Network Proportional Integral (FNN-PI) controller based on Sugeno fuzzy model is proposed in this paper for Permanent Magnet Synchronous Motor (PMSM) speed control. The improved FNN-PI controller has a compact structure and used for gradient descent algorithm. Experimental results have shown excellent tracking performance of the proposed FNN-PI controller, and have convincingly demonstrated the usefulness of the proposed controller in industrial drives with uncertainties.
dc.identifier.endpage1182
dc.identifier.issn1308-772X
dc.identifier.issue2
dc.identifier.orcid0000-0002-1716-0516
dc.identifier.scopus2-s2.0-84862527928
dc.identifier.scopusqualityN/A
dc.identifier.startpage1177
dc.identifier.urihttps://hdl.handle.net/11508/45098
dc.identifier.volume29
dc.identifier.wosWOS:000304512900044
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSila Science
dc.relation.ispartofEnergy Education Science and Technology Part A-Energy Science and Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260511
dc.subjectFuzzy neural network controller
dc.subjectSugeno model
dc.subjectPermanent magnet DC motor
dc.subjectMotor drive
dc.titleImplementation of DSP-based fuzzy neural network-PI controller for PMSM
dc.typeArticle

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