Adaptive Fading Extended Kalman Filter Based Speed-Sensorless Induction Motor Drive
Küçük Resim Yok
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This 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.
Açıklama
et 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
23rd International Conference on Electrical Machines, ICEM 2018 -- 3 September 2018 through 6 September 2018 -- -- 141471
23rd International Conference on Electrical Machines, ICEM 2018 -- 3 September 2018 through 6 September 2018 -- -- 141471
Anahtar Kelimeler
Adaptive fading extended Kalman filter, Induction motor, Parameter estimation, Speed-sensorless control, State estimation
Kaynak
Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
