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

^*Corresponding author for this work

Department of Control and Automation Engineering

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

5 Citations (Scopus)

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.

Original language	English
Pages	1256-1261
Number of pages	6
Publication status	Published - 2003
Event	Proceedings of 2003 IEEE Conference on Control Applications - Istanbul, Turkey Duration: 23 Jun 2003 → 25 Jun 2003

Conference

Conference	Proceedings of 2003 IEEE Conference on Control Applications
Country/Territory	Turkey
City	Istanbul
Period	23/06/03 → 25/06/03

Keywords

Extended Kalman filter
Induction motor
Reduced-order estimator

Cite this

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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",

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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 - http://www.scopus.com/inward/record.url?scp=0344064347&partnerID=8YFLogxK

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

Abstract

Conference

Keywords

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