A Comprehensive Comparison of Extended and Unscented Kalman Filters for Speed-Sensorless Control Applications of Induction Motors

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dc.authoridZerdali, Emrah/0000-0003-1755-0327
dc.authoridYILDIZ, RECEP/0000-0002-8167-321X
dc.contributor.authorYildiz, Recep
dc.contributor.authorBarut, Murat
dc.contributor.authorZerdali, Emrah
dc.date.accessioned2024-11-07T13:24:59Z
dc.date.available2024-11-07T13:24:59Z
dc.date.issued2020
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this article, the real-time comparison of extended and unscented Kalman filter algorithms, which estimate the stator stationary axis components of stator currents, the stator stationary axis components of rotor fluxes, the rotor mechanical speed, and the load torque including viscous friction term, are performed under different operating conditions for speed-sensorless control applications of induction motors (IMs). Thus, it is clarified which algorithm is more suitable for state and parameter (load torque) estimation problem of IMs. For this purpose, four different real-time experimental tests have been carried out, which examine the effect of noise covariance matrices, parameter changes, sampling time, and computational burdens on estimation performance of both algorithms. Unlike the current literature, remarkable comparison results have been obtained.
dc.description.sponsorshipNigde Omer Halisdemir University Research Project Unit [FEB 2016/09-BAGEP]
dc.description.sponsorshipThis work was supported by Nigde Omer Halisdemir University Research Project Unit under the research grant of FEB 2016/09-BAGEP. Paper no. TII-19-3677.
dc.identifier.doi10.1109/TII.2020.2964876
dc.identifier.endpage6432
dc.identifier.issn1551-3203
dc.identifier.issn1941-0050
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85087835241
dc.identifier.scopusqualityQ1
dc.identifier.startpage6423
dc.identifier.urihttps://doi.org/10.1109/TII.2020.2964876
dc.identifier.urihttps://hdl.handle.net/11480/14446
dc.identifier.volume16
dc.identifier.wosWOS:000545243500020
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Transactions on Industrial Informatics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectKalman filters
dc.subjectStators
dc.subjectEstimation
dc.subjectCovariance matrices
dc.subjectInformatics
dc.subjectRotors
dc.subjectTorque
dc.subjectExtended Kalman filter (EKF)
dc.subjectinduction motor (IM)
dc.subjectspeed-sensorless control
dc.subjectstate estimation
dc.subjectunscented Kalman filter (UKF)
dc.titleA Comprehensive Comparison of Extended and Unscented Kalman Filters for Speed-Sensorless Control Applications of Induction Motors
dc.typeArticle

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