DocumentCode :
2997100
Title :
A new speed sensorless SVM-DTC in Induction motor by using EKF
Author :
Jannati, M. ; Anbaran, S. ; Zaheri, D. Mohammad ; Idris, N.R.N. ; Aziz, M.J.A.
Author_Institution :
UTM-PROTON Future Drive Lab., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2013
fDate :
16-17 Dec. 2013
Firstpage :
94
Lastpage :
99
Abstract :
This paper presents a novel speed sensorless Direct Torque Control (DTC) technique based on Space Vector Modulation (SVM) for three-phase Induction motors (IMs). Basic principles of conventional speed sensorless SVM-DTC using Extended Kalman Filter (EKF) is described. Then a new speed sensorless SVM-DTC approach to address associated problems with conventional speed sensorless SVM-DTC is proposed. The proposed method uses two non-identical EKF, which provide simultaneous estimation of rotor and stator resistance. Performance of the proposed technique is assessed under challenging rotor and stator resistance variations using MATLAB/SIMULINK. Simulation result shows that using two EKF provides accurate estimation of flux, current and speed.
Keywords :
Kalman filters; control engineering computing; induction motors; nonlinear filters; power engineering computing; rotors; sensorless machine control; stators; support vector machines; torque control; MATLAB/SIMULINK; extended Kalman filter; nonidentical EKF; rotor resistance; space vector modulation; speed sensorless SVM-DTC; speed sensorless direct torque control technique; stator resistance; three-phase Induction motors; Barium; Conferences; Iron; Research and development; Three-dimensional displays; EKF; SVM-DTC; induction motor; 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.2013.7002550
Filename :
7002550
Link To Document :
بازگشت