The Comparisons of Optimized Extended Kalman Filters for Speed-Sensorless Control of Induction Motors

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dc.authoridZerdali, Emrah/0000-0003-1755-0327
dc.contributor.authorZerdali, Emrah
dc.contributor.authorBarut, Murat
dc.date.accessioned2024-11-07T13:24:55Z
dc.date.available2024-11-07T13:24:55Z
dc.date.issued2017
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThis paper presents the comparisons of optimized extended Kalman filters (EKFs) using different fitness functions for speed-sensorless vector control of induction motors (IMs). In order to achieve high performance estimations of states/parameter by EKF algorithm, state and noise covariance matrices must be accurately selected. For this aim, instead of using time-consuming trial-and-error method to determine those covariance matrices, in this paper EKF algorithm is optimized by differential evolution algorithm (DEA) and multi-objective DEA (MODEA) with the utilization of different fitness functions. The optimally obtained set of each covariance matrices is used in EKF algorithm built on the same IM model and thus, the estimation results of the optimized EKF algorithms are compared in real-time experiments in order to conclude which fitness function is better for motion control applications.
dc.identifier.doi10.1109/TIE.2017.2674579
dc.identifier.endpage4351
dc.identifier.issn0278-0046
dc.identifier.issn1557-9948
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85028700900
dc.identifier.scopusqualityQ1
dc.identifier.startpage4340
dc.identifier.urihttps://doi.org/10.1109/TIE.2017.2674579
dc.identifier.urihttps://hdl.handle.net/11480/14394
dc.identifier.volume64
dc.identifier.wosWOS:000401328500001
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 Electronics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectDifferential evolution algorithm (DEA)
dc.subjectextended Kalman filter (EKF)
dc.subjectinduction motor (IM)
dc.subjectmultiobjective optimization
dc.subjectspeed-sensorless control
dc.titleThe Comparisons of Optimized Extended Kalman Filters for Speed-Sensorless Control of Induction Motors
dc.typeArticle

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