An EKF based reduced order estimator for the sensorless control of IM's

M. Barut; O. S. Bogosyan; M. Gokasan

An EKF based reduced order estimator for the sensorless control of IM's

M. Barut^*
, O. S. Bogosyan
, M. Gokasan

^*Bu çalışma için yazışmadan sorumlu yazar

Kontrol ve Otomasyon Mühendisliği Bölümü

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

5 Atıf (Scopus)

Özet

In this study a reduce-order EKF algorithm is developed to be used for the rotor flux oriented sensorless vector control of IM's. The algorithm using measured stator currents involves the estimation of the rotor resistance, rotor flux, angular velocity and load torque. Simulation results show that the proposed method has a good performance to that of the similar full order estimator, while achieving a significant reduction in computation complexity and time.

Orijinal dil	İngilizce
Sayfalar	1256-1261
Sayfa sayısı	6
Yayın durumu	Yayınlandı - 2003
Etkinlik	Proceedings of 2003 IEEE Conference on Control Applications - Istanbul, Turkey Süre: 23 Haz 2003 → 25 Haz 2003

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	Proceedings of 2003 IEEE Conference on Control Applications
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/06/03 → 25/06/03

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

@conference{4103e0241b224479b3ce37031a40b0ca,

title = "An EKF based reduced order estimator for the sensorless control of IM's",

abstract = "In this study a reduce-order EKF algorithm is developed to be used for the rotor flux oriented sensorless vector control of IM's. The algorithm using measured stator currents involves the estimation of the rotor resistance, rotor flux, angular velocity and load torque. Simulation results show that the proposed method has a good performance to that of the similar full order estimator, while achieving a significant reduction in computation complexity and time.",

keywords = "Extended Kalman filter, Induction motor, Reduced-order estimator",

author = "M. Barut and Bogosyan, \{O. S.\} and M. Gokasan",

year = "2003",

language = "English",

pages = "1256--1261",

note = "Proceedings of 2003 IEEE Conference on Control Applications ; Conference date: 23-06-2003 Through 25-06-2003",

}

TY - CONF

T1 - An EKF based reduced order estimator for the sensorless control of IM's

AU - Barut, M.

AU - Bogosyan, O. S.

AU - Gokasan, M.

PY - 2003

Y1 - 2003

N2 - In this study a reduce-order EKF algorithm is developed to be used for the rotor flux oriented sensorless vector control of IM's. The algorithm using measured stator currents involves the estimation of the rotor resistance, rotor flux, angular velocity and load torque. Simulation results show that the proposed method has a good performance to that of the similar full order estimator, while achieving a significant reduction in computation complexity and time.

AB - In this study a reduce-order EKF algorithm is developed to be used for the rotor flux oriented sensorless vector control of IM's. The algorithm using measured stator currents involves the estimation of the rotor resistance, rotor flux, angular velocity and load torque. Simulation results show that the proposed method has a good performance to that of the similar full order estimator, while achieving a significant reduction in computation complexity and time.

KW - Extended Kalman filter

KW - Induction motor

KW - Reduced-order estimator

UR - https://www.scopus.com/pages/publications/0344064347

M3 - Paper

AN - SCOPUS:0344064347

SP - 1256

EP - 1261

T2 - Proceedings of 2003 IEEE Conference on Control Applications

Y2 - 23 June 2003 through 25 June 2003

ER -

An EKF based reduced order estimator for the sensorless control of IM's

Özet

???event.eventtypes.event.conference???

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap