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

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dc.contributor.authorHacat G., Cetinceviz Y., Sehirli E.
dc.date.accessioned2023-05-09T18:29:07Z
dc.date.available2023-05-09T18:29:07Z
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/20.500.12597/13344
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.typePublication
relation.isScopusOfPublication0f8061a9-122f-42fa-8315-0c880e5e53d8
relation.isScopusOfPublication.latestForDiscovery0f8061a9-122f-42fa-8315-0c880e5e53d8

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