• DocumentCode
    138878
  • Title

    Modeling and RFOC of faulty three-phase IM using Extended Kalman Filter for rotor speed estimation

  • Author

    Jannati, M. ; Anbaran, S.A. ; Alsofyani, I.M. ; Idris, N.R.N. ; Aziz, M.J.A.

  • Author_Institution
    UTM-PROTON Future Drive Lab., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2014
  • fDate
    24-25 March 2014
  • Firstpage
    270
  • Lastpage
    275
  • Abstract
    This research discusses d-q model and Rotor Flux-Oriented Control (RFOC) technique for faulty three-phase Induction Motor (three-phase IM when one of the stator phases is opened). In the controlling technique, two transformation matrixes are applied to the equations of faulty three-phase IM. As a result, the equations of faulty three-phase IM become similar to the balanced IM. Therefore, by employing some modifications in the conventional block diagram of the balanced IM, faulty motor control is possible. Additionally, for high performance vector control of the faulty IM, an Extended Kalman Filter (EKF) is used for motor speed estimation. Simulation results demonstrate the validity and applicability of this technique to improve performance of the faulty IM.
  • Keywords
    Kalman filters; angular velocity control; induction motors; machine vector control; matrix algebra; nonlinear filters; phase control; rotors; stators; EKF; RFOC technique; extended Kalman filter; faulty motor control; faulty three-phase IM; induction motor; rotor flux-oriented control technique; rotor speed estimation; stator phase; transformation matrix; vector control; Circuit faults; Equations; Estimation; Mathematical model; Rotors; Stator windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering and Optimization Conference (PEOCO), 2014 IEEE 8th International
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4799-2421-9
  • Type

    conf

  • DOI
    10.1109/PEOCO.2014.6814438
  • Filename
    6814438