Sensorless Control of Synchronous Reluctance Motor Based on Active Flux Vector and Extended Kalman Filter

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dc.authorid0000-0002-2032-9810
dc.contributor.authorCebeci, Emre
dc.contributor.authorYasa, Yusuf
dc.date.accessioned2026-02-12T21:04:51Z
dc.date.available2026-02-12T21:04:51Z
dc.date.issued2022
dc.departmentBursa Teknik Üniversitesi
dc.description.abstractThe need for high performance and high control accuracy in electric motors has made modern motor control techniques popular. Modern control techniques often require position sensors integrated into the electric motor. As an alternative to position measurement, the position estimation methods offer a cost advantage within acceptable error results. In this study, a new sensorless control method that includes both Active Flux Observer (AFO) and Extended Kalman Filter (EKF) is proposed. The active flux vector is obtained using stator currents and voltage data. The active flux vector components are separated and rotor position estimation is made. An angular velocity estimation is made to this vector by different methods. In this article, EKF, which can make less angular velocity estimation errors than angular velocity estimation methods obtained by AFO and other methods, is proposed. To validate the proposed method, the synchronous reluctance motor was modeled and controlled with the predicted position information. By applying EKF to the model, the load torque is estimated as well as the rotor angular velocity. Regarding position estimation, the results show that the EKF method is up to 50% more successful in the ramp and step load torques than other methods such as the Phase Locked Loop (PLL) and Flux Derivation Method in terms of rotor angular velocity estimation error.
dc.description.sponsorshipBursa Technical University Scientific Research Projects Unit [200Y004]
dc.description.sponsorshipThis paper draws on research funded by Bursa Technical University Scientific Research Projects Unit (Project ID 200Y004).
dc.identifier.doi10.1007/s42835-021-00980-6
dc.identifier.endpage1215
dc.identifier.issn1975-0102
dc.identifier.issn2093-7423
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85122987222
dc.identifier.scopusqualityQ2
dc.identifier.startpage1207
dc.identifier.urihttps://doi.org/10.1007/s42835-021-00980-6
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6688
dc.identifier.volume17
dc.identifier.wosWOS:000744407200001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Singapore Pte Ltd
dc.relation.ispartofJournal of Electrical Engineering & Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260212
dc.subjectSensorless control
dc.subjectExtended kalman filter
dc.subjectSynchronous reluctance motor
dc.subjectActive flux observer
dc.subjectState estimate
dc.titleSensorless Control of Synchronous Reluctance Motor Based on Active Flux Vector and Extended Kalman Filter
dc.typeArticle

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