The optimization of EKF algorithm based on current errors for speed-sensorless control of induction motors
Küçük Resim Yok
Tarih
2016
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, an optimized extended Kalman filter (EKF) is designed in order to achieve high performance speed-sensorless control of induction motors (IMs). The EKF algorithm estimates the stationary axis components of rotor fluxes, ?r? and ?r?, the rotor angular velocity, ?m, the rotor resistance, R?r, besides the stationary axis components of stator currents, is? and is?, which are measured as output as well. Also, an optimization process is performed using errors between measured and estimated current components to obtain satisfying estimation performance with EKF. The experimental results prove the high performance control of the proposed system. © 2015 IEEE.
Açıklama
1st Joint International Aegean Conference on Electrical Machines and Power Electronics, ACEMP 2015, International Conference on Optimization of Electrical and Electronic Equipment, OPTIM 2015 and International Symposium on Advanced Electromechanical Motion Systems, ELECTROMOTION 2015 -- 2 September 2015 through 4 September 2015 -- Side -- 119924
Anahtar Kelimeler
Algorithms, Electric machinery, Electronic equipment, Extended Kalman filters, Induction motors, Optimization, Oscillators (electronic), Power electronics, Current component, Estimation performance, High performance control, On currents, Rotor fluxes, Rotor resistances, Speed sensorless control, Stator currents, Sensorless control
Kaynak
Joint International Conference - ACEMP 2015: Aegean Conference on Electrical Machines and Power Electronics, OPTIM 2015: Optimization of Electrical and Electronic Equipment and ELECTROMOTION 2015: International Symposium on Advanced Electromechanical Motion Systems
WoS Q Değeri
Scopus Q Değeri
N/A
