Novel hybrid estimator based on model reference adaptive system and extended Kalman filter for speed-sensorless induction motor control

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dc.authoridDemir, Ridvan/0000-0001-6509-9169
dc.contributor.authorDemir, Ridvan
dc.contributor.authorBarut, Murat
dc.date.accessioned2024-11-07T13:24:40Z
dc.date.available2024-11-07T13:24:40Z
dc.date.issued2018
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThis paper presents a novel hybrid estimator consisting of an extended Kalman filter (EKF) and an active power-based model reference adaptive system (AP-MRAS) in order to solve simultaneous estimation problems of the variations in stator resistance estimation to the EKF. Both the AP-MRAS, whose adaptation mechanism is developed with the help of the least mean squares method in this paper, and the EKF only utilize the measured stator voltages and currents. Performances of the proposed hybrid estimator in this paper are tested by challenging scenarios generated in simulations and real-time experiments. The obtained results demonstrate the effectiveness of the introduced hybrid estimator, together with a reduction in the processing time and size of the estimation algorithm in terms of previous studies performing the same estimations of the states and parameters. From this point of view, it is the first such study in the literature, to our knowledge.
dc.identifier.doi10.1177/0142331217734631
dc.identifier.endpage3898
dc.identifier.issn0142-3312
dc.identifier.issn1477-0369
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85045245514
dc.identifier.scopusqualityQ2
dc.identifier.startpage3884
dc.identifier.urihttps://doi.org/10.1177/0142331217734631
dc.identifier.urihttps://hdl.handle.net/11480/14248
dc.identifier.volume40
dc.identifier.wosWOS:000443355900027
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSage Publications Ltd
dc.relation.ispartofTransactions of the Institute of Measurement and Control
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectInduction motors
dc.subjectsensorless control
dc.subjectextended Kalman filter
dc.subjectmodel reference adaptive system
dc.subjectparameter estimation
dc.titleNovel hybrid estimator based on model reference adaptive system and extended Kalman filter for speed-sensorless induction motor control
dc.typeArticle

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