Artificial Neural Network Based Real Time Speed Control of a Linear Tubular Permanent Magnet Direct Current Motor

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dc.authoridGUNEY, EZGI/0000-0003-4868-0626
dc.contributor.authorGuney, Ezgi
dc.contributor.authorDursun, Mahir
dc.contributor.authorDemir, Memnun
dc.date.accessioned2025-03-23T19:48:25Z
dc.date.available2025-03-23T19:48:25Z
dc.date.issued2017
dc.departmentSinop Üniversitesi
dc.descriptionInternational Conference on Control, Automation and Diagnosis (ICCAD) -- JAN 19-21, 2017 -- Hammamet, TUNISIA
dc.description.abstractThis paper presents a real-time speed control for a linear tubular permanent magnet direct current motor (LTPMDCM) by using artificial neural network (ANN). Firstly, a novel form of LTPMDCM prototype has been developed for linear motions. Then, a low cost motor drive has designed for expected rapid response and precise position control. Software developed in MATLAB environment is used for speed control. Through this software, real-time speed control of the motor with ANN has been performed. The effectiveness of the proposed control system is verified by experimental results and presented.
dc.identifier.endpage544
dc.identifier.isbn978-1-5090-5987-4
dc.identifier.scopus2-s2.0-85039987359
dc.identifier.scopusqualityN/A
dc.identifier.startpage540
dc.identifier.urihttps://hdl.handle.net/11486/7579
dc.identifier.wosWOS:000425852200096
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIeee
dc.relation.ispartof2017 International Conference On Control, Automation and Diagnosis (Iccad)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectLinear DC Motor
dc.subjectArtificial Neural Network Control
dc.subjectReal Time Learning
dc.titleArtificial Neural Network Based Real Time Speed Control of a Linear Tubular Permanent Magnet Direct Current Motor
dc.typeConference Object

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