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

^*Corresponding author for this work

Department of Control and Automation Engineering

Research output: Contribution to conference › Paper › peer-review

15 Citations (Scopus)

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.

Original language	English
Pages	318-322
Number of pages	5
DOIs	https://doi.org/10.1109/IECON.2003.1279999
Publication status	Published - 2003
Event	The 29th Annual Conference of the IEEE Industrial Electronics Society - Roanoke, VA, United States Duration: 2 Nov 2003 → 6 Nov 2003

Conference

Conference	The 29th Annual Conference of the IEEE Industrial Electronics Society
Country/Territory	United States
City	Roanoke, VA
Period	2/11/03 → 6/11/03

Keywords

Estimator
Extended Kalman filter
Induction motor
Observer
Sensorless vector control

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10.1109/IECON.2003.1279999

Cite this

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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.",

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doi = "10.1109/IECON.2003.1279999",

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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

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U2 - 10.1109/IECON.2003.1279999

DO - 10.1109/IECON.2003.1279999

M3 - Paper

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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

Abstract

Conference

Keywords

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