EKF based rotor and stator resistance estimations for direct torque control of induction motors

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dc.contributor.authorDemir, Ridvan
dc.contributor.authorBarut, Murat
dc.contributor.authorYildiz, Recep
dc.contributor.authorInan, Remzi
dc.contributor.authorZerdali, Emrah
dc.date.accessioned2024-11-07T10:39:29Z
dc.date.available2024-11-07T10:39:29Z
dc.date.issued2017
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.descriptionThe Institute of Electrical Engineers of Japan; The Korean Institution of Power Electronics
dc.description2nd International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017 -- 25 May 2017 through 27 May 2017 -- Brasov -- 129145
dc.description.abstractThis study presents the direct torque controlled induction motor (IM) drive utilizing a novel extended Kalman filter (EKF) that simultaneously estimates stator stationary axis components of stator currents and stator fluxes in addition to rotor and stator resistances with the assumption of available stator voltages/currents and rotor speed. Thus, it is desired to show that the on-line estimations of rotor and stator resistances are possible by using a single EKF algorithm in the case with speed-sensor. Performances of the proposed EKF are tested under challenging scenarios generated in simulations. The obtained results confirm very satisfying performances of the introduced EKF algorithm and thus the IM drive. © 2017 IEEE.
dc.description.sponsorshipUniversity of Miami, (FEB 2016/09-BAGEP); Far East Branch, Russian Academy of Sciences; Hebei United University
dc.identifier.doi10.1109/OPTIM.2017.7974999
dc.identifier.endpage381
dc.identifier.isbn978-150904489-4
dc.identifier.scopus2-s2.0-85027726439
dc.identifier.scopusqualityN/A
dc.identifier.startpage376
dc.identifier.urihttps://doi.org/10.1109/OPTIM.2017.7974999
dc.identifier.urihttps://hdl.handle.net/11480/11009
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2017 International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2017 and 2017 Intl Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2017
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectElectric machinery
dc.subjectElectronic equipment
dc.subjectInduction motors
dc.subjectKalman filters
dc.subjectOptimization
dc.subjectOscillators (electronic)
dc.subjectPower electronics
dc.subjectStators
dc.subjectTorque control
dc.subjectDirect torque
dc.subjectDirect torque control
dc.subjectOn-line estimation
dc.subjectRotor and stators
dc.subjectRotor speed
dc.subjectSpeed sensors
dc.subjectStator currents
dc.subjectStator voltages
dc.subjectExtended Kalman filters
dc.titleEKF based rotor and stator resistance estimations for direct torque control of induction motors
dc.typeConference Object

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