Scopus:
Speed Control of BLDC by Using Neutrosophic Fuzzy Logic Controller

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dc.contributor.authorHacat G.
dc.contributor.authorCetinceviz Y.
dc.contributor.authorSehirli E.
dc.date.accessioned2023-04-12T00:55:03Z
dc.date.available2023-04-12T00:55:03Z
dc.date.issued2021-01-01
dc.description.abstractIn this study, a control system based on neutrosophic logic is presented for field-oriented control (FOC) based speed control of brushless direct current motor (BLDC). Neutrosophic fuzzy logic controller (NFLC) was created with a fuzzy inference system in Matlab. In addition, to realize speed control of BLDC motor in Simulink environment, NFLC block diagram was created and compared with proportional integral (PI) control. The simulation results show that the BLDC motor speed is successfully and efficiently controlled by a neutrosophic fuzzy logic controller, giving better results than PI controller with respect to steady state error and settling time.
dc.identifier.doi10.1109/ASYU52992.2021.9599021
dc.identifier.isbn9781665434058
dc.identifier.scopus2-s2.0-85123179550
dc.identifier.urihttps://hdl.handle.net/20.500.12597/4529
dc.relation.ispartofProceedings - 2021 Innovations in Intelligent Systems and Applications Conference, ASYU 2021
dc.rightsfalse
dc.subjectBrushless direct current motor | neutrosophic fuzzy logic controller | simulink
dc.titleSpeed Control of BLDC by Using Neutrosophic Fuzzy Logic Controller
dc.typeConference Paper
dspace.entity.typeScopus
person.affiliation.nameGazi Üniversitesi
person.affiliation.nameKastamonu University
person.affiliation.nameGazi Üniversitesi
person.identifier.scopus-author-id57419705100
person.identifier.scopus-author-id36639368500
person.identifier.scopus-author-id36350087200
relation.isPublicationOfScopusb5c4f937-4340-48fc-8eb1-d072b6499071
relation.isPublicationOfScopus.latestForDiscoveryb5c4f937-4340-48fc-8eb1-d072b6499071

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