MRAS Based Model Predictive Torque Control of Induction Motor Drive for Electric Vehicles

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dc.authoridKabalci, Yasin/0000-0003-1240-817X
dc.contributor.authorBoyar, Aydin
dc.contributor.authorKabalci, Ersan
dc.contributor.authorKabalci, Yasin
dc.date.accessioned2024-11-07T13:23:57Z
dc.date.available2024-11-07T13:23:57Z
dc.date.issued2022
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description4th IEEE Global Power, Energy and Communication Conference (IEEE GPECOM) -- JUN 14-17, 2022 -- Cappadocia, TURKEY
dc.description.abstractThe number of fossil fuel vehicles is increasing day by day in the world. Studies on the EVs having zero emissions enhance, since fossil fuel vehicles cause environmental pollution. The converter and inverter topologies are used in the structure of EVs according to motor types. An inverter circuit is needed to convert the dc voltage obtained from the batteries to ac voltage. The inverter affects performance of the electric motor used in EVs. Three phase three level active neutral point clamping (ANPC) inverter topology is one of the multilevel inverter topologies is preferred in this study since it has high power quality. The induction motor, which has simple structure and low cost maintenance, is widely used in the EVs. In this study, speed sensorless induction motor drive has been modelled for EVs. The required switching pulses for ANPC inverter are obtained by the developed model predictive controller (MPC) for torque control of induction motor. The speed value of induction motor required for MPC has been obtained by the model reference adaptive system (MRAS) method. The proposed induction motor drive for EVs has been analyzed under variable speed and torque values.
dc.description.sponsorshipIEEE,IEEE Ind Applicat Soc,IEEE Ind Elect Soc,IEEE Power & Energy Soc,IEEE Power Elect Soc,Nevsehir Haci Bektas Veli Univ,Univ Nova Lisboa,Univ Palermo
dc.identifier.doi10.1109/GPECOM55404.2022.9815689
dc.identifier.endpage56
dc.identifier.isbn978-1-6654-6925-8
dc.identifier.scopus2-s2.0-85134875188
dc.identifier.scopusqualityN/A
dc.identifier.startpage51
dc.identifier.urihttps://doi.org/10.1109/GPECOM55404.2022.9815689
dc.identifier.urihttps://hdl.handle.net/11480/13828
dc.identifier.wosWOS:000854056400009
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2022 Ieee 4th Global Power, Energy and Communication Conference (Ieee Gpecom2022)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectMRAS
dc.subjectmodel predictive torque control
dc.subjectANPC inverter
dc.titleMRAS Based Model Predictive Torque Control of Induction Motor Drive for Electric Vehicles
dc.typeConference Object

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