An Extended Kalman Filter Based Sensorless Direct Vector Control of Induction Motors

Murat Barut; Metin Gokasan; O. Seta Bogosyan

doi:10.1109/IECON.2003.1279999

An Extended Kalman Filter Based Sensorless Direct Vector Control of Induction Motors

Murat Barut^*, Metin Gokasan, O. Seta Bogosyan

^*Bu çalışma için yazışmadan sorumlu yazar

Kontrol ve Otomasyon Mühendisliği Bölümü

Araştırma sonucu: Konferansa katkı › Yazı › bilirkişi

16 Atıf (Scopus)

Özet

In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.

Orijinal dil	İngilizce
Sayfalar	318-322
Sayfa sayısı	5
DOI'lar	https://doi.org/10.1109/IECON.2003.1279999
Yayın durumu	Yayınlandı - 2003
Etkinlik	The 29th Annual Conference of the IEEE Industrial Electronics Society - Roanoke, VA, United States Süre: 2 Kas 2003 → 6 Kas 2003

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

???event.eventtypes.event.conference???	The 29th Annual Conference of the IEEE Industrial Electronics Society
Ülke/Bölge	United States
Şehir	Roanoke, VA
Periyot	2/11/03 → 6/11/03

Belgeye Erişim

10.1109/IECON.2003.1279999

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "An Extended Kalman Filter Based Sensorless Direct Vector Control of Induction Motors",

abstract = "In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.",

keywords = "Estimator, Extended Kalman filter, Induction motor, Observer, Sensorless vector control",

author = "Murat Barut and Metin Gokasan and Bogosyan, {O. Seta}",

year = "2003",

doi = "10.1109/IECON.2003.1279999",

language = "English",

pages = "318--322",

note = "The 29th Annual Conference of the IEEE Industrial Electronics Society ; Conference date: 02-11-2003 Through 06-11-2003",

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TY - CONF

T1 - An Extended Kalman Filter Based Sensorless Direct Vector Control of Induction Motors

AU - Barut, Murat

AU - Gokasan, Metin

AU - Bogosyan, O. Seta

PY - 2003

Y1 - 2003

N2 - In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.

AB - In this study, it is aimed to design a rotor-oriented sensorless direct vector control for the speed control of an induction motor (IM). For this purpose, all the states required for direct vector control in addition to the step-shaped load torque and rotor resistance are estimated using extended Kalman Filter (EKF). Simulation results demonstrate a good performance and robustness to variations of load and rotor resistance.

KW - Estimator

KW - Extended Kalman filter

KW - Induction motor

KW - Observer

KW - Sensorless vector control

UR - http://www.scopus.com/inward/record.url?scp=1442329378&partnerID=8YFLogxK

U2 - 10.1109/IECON.2003.1279999

DO - 10.1109/IECON.2003.1279999

M3 - Paper

AN - SCOPUS:1442329378

SP - 318

EP - 322

T2 - The 29th Annual Conference of the IEEE Industrial Electronics Society

Y2 - 2 November 2003 through 6 November 2003

ER -

An Extended Kalman Filter Based Sensorless Direct Vector Control of Induction Motors

Özet

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

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap