Adaptive Fading Extended Kalman Filter Based Speed-Sensorless Induction Motor Drive

Basit Öğe Kaydı
dc.contributor.authorZerdali E.
dc.contributor.authorYildiz R.
dc.contributor.authorInan R.
dc.contributor.authorDemir R.
dc.contributor.authorBarut M.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2018
dc.departmentNiğde ÖHÜ
dc.descriptionet al.;IEEE Industrial Electronics Society (IEEE-IES);IEEE Industry Applications Society (IEEE-IAS);The Department of Electrical and Computer Engineering, Democritus University of Thrace;The International Conference of Electrical Machines Association (ICEM);The Ministry of Environment and Energy
dc.description23rd International Conference on Electrical Machines, ICEM 2018 -- 3 September 2018 through 6 September 2018 -- -- 141471
dc.description.abstractThis paper presents an adaptive fading extended Kalman filter (AFEKF) based speed-sensorless induction motor (IM) drive. Conventional extended Kalman filters (CEKFs) assume the system (Q) and the measurement (R) noise covariance matrices as constant, but those matrices are affected by the operating conditions of IMs and deteriorate the estimation performance. To eliminate this adverse effect, an AFEKF algorithm which has the ability to update Q and R matrices according to the operating conditions of IM are proposed, and 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 estimated. To illustrate the superiority of AFEKF-based speed-sensorless IM drive, the control performance of the proposed drive system is compared to that of CEKF-based speed-sensorless drive system under simulations. In addition to the comparison results, the computational burdens of AFEKF and CEKF algorithms are also examined. © 2018 IEEE.
dc.identifier.doi10.1109/ICELMACH.2018.8507168
dc.identifier.endpage1373
dc.identifier.isbn9.78154E+12
dc.identifier.scopus2-s2.0-85057207538
dc.identifier.scopusqualityN/A
dc.identifier.startpage1367
dc.identifier.urihttps://dx.doi.org/10.1109/ICELMACH.2018.8507168
dc.identifier.urihttps://hdl.handle.net/11480/1595
dc.identifier.wosWOS:000542969300201
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAdaptive fading extended Kalman filter
dc.subjectInduction motor
dc.subjectParameter estimation
dc.subjectSpeed-sensorless control
dc.subjectState estimation
dc.titleAdaptive Fading Extended Kalman Filter Based Speed-Sensorless Induction Motor Drive
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu