Using of EKF for speed sensorless SVM-DTC in induction motor at low speed

Author

Jannati, M. ; Idris, N.R.N. ; Aziz, M.J.A. ; Monadi, A. ; Al-Jaf, M.F. ; Faudzi, A.A.M.

Author_Institution

UTM-PROTON Future Drive Lab., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2013

fDate

16-17 Dec. 2013

Firstpage

1

Lastpage

6

Abstract

Extended Kalman Filter (EKF) is a special type of observer, which filters out measurement and system noises while at the same time estimate the state variables. With the inevitable increased in the temperature due to the continuous operation, the performance of the induction motor drive system, especially at low speed, is more affected by the stator resistance than the rotor resistance. So, at low speed operation, speed estimation using EKF based on rotor flux is more accurate than the stator flux based EKF. In this work, a speed estimation using an EKF based on rotor flux for Space Vector Modulation-Direct Torque Control (SVM-DTC) of a three-phase induction motor at low speed is presented. Simulation results showed excellence performance and the effectiveness of the presented system.

Keywords

Kalman filters; angular velocity control; electric noise measurement; electric resistance; induction motor drives; machine vector control; magnetic flux; rotors; sensorless machine control; stators; torque control; EKF; direct torque control; extended Kalman filter; low speed three-phase induction motor drive system; rotor flux; rotor resistance; space vector modulation; speed estimation; speed sensorless SVM-DTC; state variable; stator flux; stator resistance; time estimation; Conferences; Iron; Research and development; EKF; SVM-DTC; low speed; speed estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Research and Development (SCOReD), 2013 IEEE Student Conference on

Conference_Location

Putrajaya

Type

conf

DOI

10.1109/SCOReD.2013.7002529

Filename

7002529