Sensorless direct vector control of induction motors at low and zero speed

Murat Barut; Seta Bogosyan; Metin Gokasan

Sensorless direct vector control of induction motors at low and zero speed

Murat Barut, Seta Bogosyan^*, Metin Gokasan

^*Corresponding author for this work

Department of Control and Automation Engineering

University of Alaska Fairbanks

Research output: Contribution to journal › Article › peer-review

Abstract

This study aims an improved estimation performance for the speed sensorless control of induction motors (IMs) over a very low/zero speed range. For this purpose, an Extended Kalman Filter (EKF) observer is designed to overcome the difficulties of flux/speed estimation at and around zero speed. The estimation problems related to low speed operation are further emphasized due to stator resistance, R_s uncertainties. Thus, the observer is designed to estimate the stator resistance, load torque and velocity, which is taken into account via the equation of motion. With this approach, the rotor flux information is reflected to the stator, thus improving the estimation accuracy. The simulation results obtained for the EKF approach in combination with the Direct Vector Control (DVC) of an IM, indicate improved performance.

Original language	English
Pages (from-to)	2923-2930
Number of pages	8
Journal	WSEAS Transactions on Systems
Volume	5
Issue number	12
Publication status	Published - Dec 2006

Keywords

Direct vector control
EKF
Induction motors
Low and zero speed
Speed sensorless control
Stator resistance and load torque estimation

Cite this

@article{73091887d635487e84996ce7b72015ca,

title = "Sensorless direct vector control of induction motors at low and zero speed",

abstract = "This study aims an improved estimation performance for the speed sensorless control of induction motors (IMs) over a very low/zero speed range. For this purpose, an Extended Kalman Filter (EKF) observer is designed to overcome the difficulties of flux/speed estimation at and around zero speed. The estimation problems related to low speed operation are further emphasized due to stator resistance, Rs uncertainties. Thus, the observer is designed to estimate the stator resistance, load torque and velocity, which is taken into account via the equation of motion. With this approach, the rotor flux information is reflected to the stator, thus improving the estimation accuracy. The simulation results obtained for the EKF approach in combination with the Direct Vector Control (DVC) of an IM, indicate improved performance.",

keywords = "Direct vector control, EKF, Induction motors, Low and zero speed, Speed sensorless control, Stator resistance and load torque estimation",

author = "Murat Barut and Seta Bogosyan and Metin Gokasan",

year = "2006",

month = dec,

language = "English",

volume = "5",

pages = "2923--2930",

journal = "WSEAS Transactions on Systems",

issn = "1109-2777",

publisher = "World Scientific and Engineering Academy and Society",

number = "12",

}

TY - JOUR

T1 - Sensorless direct vector control of induction motors at low and zero speed

AU - Barut, Murat

AU - Bogosyan, Seta

AU - Gokasan, Metin

PY - 2006/12

Y1 - 2006/12

N2 - This study aims an improved estimation performance for the speed sensorless control of induction motors (IMs) over a very low/zero speed range. For this purpose, an Extended Kalman Filter (EKF) observer is designed to overcome the difficulties of flux/speed estimation at and around zero speed. The estimation problems related to low speed operation are further emphasized due to stator resistance, Rs uncertainties. Thus, the observer is designed to estimate the stator resistance, load torque and velocity, which is taken into account via the equation of motion. With this approach, the rotor flux information is reflected to the stator, thus improving the estimation accuracy. The simulation results obtained for the EKF approach in combination with the Direct Vector Control (DVC) of an IM, indicate improved performance.

AB - This study aims an improved estimation performance for the speed sensorless control of induction motors (IMs) over a very low/zero speed range. For this purpose, an Extended Kalman Filter (EKF) observer is designed to overcome the difficulties of flux/speed estimation at and around zero speed. The estimation problems related to low speed operation are further emphasized due to stator resistance, Rs uncertainties. Thus, the observer is designed to estimate the stator resistance, load torque and velocity, which is taken into account via the equation of motion. With this approach, the rotor flux information is reflected to the stator, thus improving the estimation accuracy. The simulation results obtained for the EKF approach in combination with the Direct Vector Control (DVC) of an IM, indicate improved performance.

KW - Direct vector control

KW - EKF

KW - Induction motors

KW - Low and zero speed

KW - Speed sensorless control

KW - Stator resistance and load torque estimation

UR - http://www.scopus.com/inward/record.url?scp=37849187618&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:37849187618

SN - 1109-2777

VL - 5

SP - 2923

EP - 2930

JO - WSEAS Transactions on Systems

JF - WSEAS Transactions on Systems

IS - 12

ER -

Sensorless direct vector control of induction motors at low and zero speed

Abstract

Keywords

Other files and links

Fingerprint

Cite this