Speed-sensorless induction motor drive with unscented Kalman filter including the estimations of load torque and rotor resistance
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE Computer Society
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, an unscented Kalman filter (UKF) based speed-sensorless vector control of induction motors (IMs) have been implemented for a wide speed range including zero-speed. The proposed UKF simultaneously estimates stator stationary axis components of stator currents and rotor fluxes, rotor mechanical speed, load torque including viscous friction term, and rotor resistance. The effectiveness of the introduced UKF algorithm and thus the speed-sensorless IM drive are verified by computer simulations consisting of different challenging scenarios. From this point of view, it is the first speed-sensorless IM drive in the literature to utilize the UKF algorithm including the simultaneous estimations of stator currents, rotor fluxes, rotor mechanical speed, load torque including viscous friction term, and rotor resistance in simulation. © 2016 IEEE.
Açıklama
IEEE Industrial Electronics Society (IES); Institute of Electrical and Electronics Engineers (IEEE)
42nd Conference of the Industrial Electronics Society, IECON 2016 -- 24 October 2016 through 27 October 2016 -- Florence -- 125546
42nd Conference of the Industrial Electronics Society, IECON 2016 -- 24 October 2016 through 27 October 2016 -- Florence -- 125546
Anahtar Kelimeler
Kaynak
IECON Proceedings (Industrial Electronics Conference)
WoS Q Değeri
Scopus Q Değeri
N/A
