Publication:
Fuzzy Logic Speed Control of Induction Motor in Flux Weakening Region for Electric Vehicle

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dc.authorscopusid57197704894
dc.authorscopusid57110509400
dc.contributor.authorCavus, B.
dc.contributor.authorAktaş, M.
dc.date.accessioned2025-12-11T00:31:22Z
dc.date.issued2023
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Cavus] Barış, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Aktaş] Mustafa, Department of Electrical and Electronic Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.descriptionMahindra Universityen_US
dc.description.abstractIn recent years, academic and commercial developments on electric vehicles have increased. One of the significant cases in electric vehicles is operating the induction motor used in the vehicle above its nominal speed. In addition to operating the induction motor at high speeds, it is desirable to have a high performance. In this study, the operation of the induction motor above the nominal speed, which is an important case for electric vehicles, and increasing its performance have been studied. Flux weakening has been performed with Model Predictive Control (MPC). Thus, the induction motor has been successfully operated well above its nominal speed. However, as a result of the control with MPC, improvement in motor torque, speed and current is required. For this reason, Fuzzy Logic Speed Control (FLSC) method has been used in this study. When the motor current, flux, speed and torque are examined, it is seen that the FLSC method used increases the system performance considerably. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ICPEEV58650.2023.10391886
dc.identifier.isbn9798350323566
dc.identifier.scopus2-s2.0-85184657737
dc.identifier.urihttps://doi.org/10.1109/ICPEEV58650.2023.10391886
dc.identifier.urihttps://hdl.handle.net/20.500.12712/36986
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof-- 1st International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2023 -- 2023-09-28 through 2023-09-30 -- Hyderabad -- 196791en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDirect Torque Controlen_US
dc.subjectFuzzy Logic Controlen_US
dc.subjectInduction Motoren_US
dc.subjectModel Predictive Controlen_US
dc.titleFuzzy Logic Speed Control of Induction Motor in Flux Weakening Region for Electric Vehicleen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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