Real-Time Implementation of Bi Input-Extended Kalman Filter-Based Estimator for Speed-Sensorless Control of Induction Motors

Basit Öğe Kaydı
dc.authorid0000-0003-1755-0327
dc.contributor.authorBarut, Murat
dc.contributor.authorDemir, Ridvan
dc.contributor.authorZerdali, Emrah
dc.contributor.authorInan, Remzi
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2012
dc.departmentNiğde ÖHÜ
dc.description.abstractThis paper presents the real-time implementation of a bi input-extended Kalman filter (EKF) (BI-EKF)-based estimator in order to overcome the simultaneous estimation problem of the variations in stator resistance R-s and rotor resistance R-r' aside from the load torque t(L) and all states required for the speed-sensorless control of induction motors (IMs) in the wide speed range. BI-EKF algorithm consists of a single EKF algorithm using consecutively two inputs based on two extended IM models developed for the simultaneous estimation of R-r' and R-s. Therefore, from the point of real-time implementation, it requires less memory than previous EKF-based studies exploiting two separate EKF algorithms for the same aim. By using the measured stator phase voltages and currents, the developed estimation algorithm is tested with real-time experiments under challenging variations of R-s, R-r', and t(L) in a wide speed range; the results obtained from BI-EKF reveal significant improvement in the all estimated states and parameters when compared with those of the single EKFs estimating only R-r' or R-s.
dc.description.sponsorshipScientific and Technical Research Council of Turkey (Turkiye Bilimsel ve Teknolojik Arastirma Kurumu-TUBITAK) [EEEAG-108E187]
dc.description.sponsorshipThis work was supported by the Scientific and Technical Research Council of Turkey (Turkiye Bilimsel ve Teknolojik Arastirma Kurumu-TUBITAK) under the research grant of EEEAG-108E187.
dc.identifier.doi10.1109/TIE.2011.2178209
dc.identifier.endpage4206
dc.identifier.issn0278-0046
dc.identifier.issue11
dc.identifier.scopus2-s2.0-84862998458
dc.identifier.scopusqualityQ1
dc.identifier.startpage4197
dc.identifier.urihttps://dx.doi.org/10.1109/TIE.2011.2178209
dc.identifier.urihttps://hdl.handle.net/11480/4530
dc.identifier.volume59
dc.identifier.wosWOS:000305748500021
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.ispartofIEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectExtended Kalman filter
dc.subjectinduction motors (IMs)
dc.subjectload torque estimation
dc.subjectrotor and stator resistance estimation
dc.subjectsensorless control
dc.titleReal-Time Implementation of Bi Input-Extended Kalman Filter-Based Estimator for Speed-Sensorless Control of Induction Motors
dc.typeArticle

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