Adaptive Extended Kalman Filter for Speed-Sensorless Control of Induction Motors

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dc.contributor.authorZerdali E.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2019
dc.departmentNiğde ÖHÜ
dc.description.abstractThis paper presents an adaptive extended Kalman filter (AEKF) algorithm estimating the stator stationary axis components of stator currents, the stator stationary axis components of rotor fluxes, the rotor mechanical speed, and the load torque for speed-sensorless control applications of induction motors (IMs). The performance of a standard extended Kalman filter (SEKF) algorithm depends on the correct selection of system and measurement noise covariance matrices. In SEKF algorithms, these matrices are generally assumed as constant and determined by the trial-and-error method. However, they are affected by the operating conditions of IM and should be updated considering the operating conditions. For this purpose, instead of the time-consuming trial-and-error method for determining these matrices, an innovation-based adaptive estimation approach having the capability of online update is used in this paper. Finally, in order to verify the superiority of the AEKF algorithm, estimation performances of AEKF and SEKF algorithms are compared under challenging scenarios for a wide speed range considering computational burdens and parameter variations. © 1986-2012 IEEE.
dc.identifier.doi10.1109/TEC.2018.2866383
dc.identifier.endpage800
dc.identifier.issn0885-8969
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85052676597
dc.identifier.scopusqualityQ1
dc.identifier.startpage789
dc.identifier.urihttps://dx.doi.org/10.1109/TEC.2018.2866383
dc.identifier.urihttps://hdl.handle.net/11480/1470
dc.identifier.volume34
dc.identifier.wosWOS:000468236100023
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorZerdali E.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofIEEE Transactions on Energy Conversion
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAdaptive extended Kalman filter (AEKF)
dc.subjectinduction motor (IM)
dc.subjectspeed-sensorless control
dc.subjectstate estimation
dc.titleAdaptive Extended Kalman Filter for Speed-Sensorless Control of Induction Motors
dc.typeArticle

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