The Optimization of EKF Algorithm based on Current Errors for Speed-Sensorless Control of Induction Motors
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
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, phi(r alpha) and phi(r beta), the rotor angular velocity, omega(m), the rotor resistance, R'(r), besides the stationary axis components of stator currents, i(s alpha) and i(s beta), 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.
Açıklama
Int Aegean Conference on Electrical Machines and Power Electronics (ACEMP) / Int Conference on Optimization of Electrical and Electronic Equipment (OPTIM) / Int Symposium on Advanced Electromechanical Motion Systems (ELECTROMOTION) -- SEP 02-04, 2015 -- Side, TURKEY
Anahtar Kelimeler
Kaynak
2015 INTL AEGEAN CONFERENCE ON ELECTRICAL MACHINES & POWER ELECTRONICS (ACEMP), 2015 INTL CONFERENCE ON OPTIMIZATION OF ELECTRICAL & ELECTRONIC EQUIPMENT (OPTIM) & 2015 INTL SYMPOSIUM ON ADVANCED ELECTROMECHANICAL MOTION SYSTEMS (ELECTROMOTION)
WoS Q Değeri
N/A
