• 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