Load torque and stator resistance estimations with unscented kalman filter for speed-sensorless control of induction motors

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dc.contributor.authorYildiz, Recep
dc.contributor.authorBarut, Murat
dc.contributor.authorZerdali, Emrah
dc.contributor.authorInan, Remzi
dc.contributor.authorDemir, Ridvan
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.abstractIn this study, speedsensorless IM drive based on unscented Kalman filter (UKF) with the online estimations of stator stationary axis components of stator currents, rotor fluxes, rotor mechanical speed, load torque including the friction term, and stator resistance is designed. Therefore, the proposed speedsensorless IM drive is robust to load torque and stator resistance changes. Different challenging scenarios including ramp-And step-Type variations in load torque and stator resistance at both zero and high speeds are performed in computer simulations to demonstrate the superiority of the proposed UKF based speedsensorless drive. © 2017 IEEE.
dc.description.sponsorshipUniversity of Miami; Far East Branch, Russian Academy of Sciences; Hebei United University, (FEB 2016/09-BAGEP)
dc.identifier.doi10.1109/OPTIM.2017.7975011
dc.identifier.endpage461
dc.identifier.isbn978-150904489-4
dc.identifier.scopus2-s2.0-85027684973
dc.identifier.scopusqualityN/A
dc.identifier.startpage456
dc.identifier.urihttps://doi.org/10.1109/OPTIM.2017.7975011
dc.identifier.urihttps://hdl.handle.net/11480/11010
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.subjectBandpass filters
dc.subjectElectric machinery
dc.subjectElectronic equipment
dc.subjectInduction motors
dc.subjectKalman filters
dc.subjectOscillators (electronic)
dc.subjectPower electronics
dc.subjectStators
dc.subjectTorque
dc.subjectTorque measurement
dc.subjectFriction term
dc.subjectOn-line estimation
dc.subjectSpeed sensorless control
dc.subjectSpeed-sensor less
dc.subjectStator currents
dc.subjectStator resistance
dc.subjectStator resistance estimation
dc.subjectUnscented Kalman Filter
dc.subjectSensorless control
dc.titleLoad torque and stator resistance estimations with unscented kalman filter for speed-sensorless control of induction motors
dc.typeConference Object

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