• DocumentCode
    3728700
  • Title

    Direct torque control of Induction Motor based on artificial neural networks speed control using MRAS and neural PID controller

  • Author

    M. L. Zegai;M. Bendjebbar;K. Belhadri;M. L Doumbia;B. Hamane;P. M. Koumba

  • Author_Institution
    University of Science and Technology of Oran, Department of Electrical Engineering, Laboratory of Development of Electrical Devices (LDEE), Algeria
  • fYear
    2015
  • Firstpage
    320
  • Lastpage
    325
  • Abstract
    This contribution deals with the proposal of direct torque control (DTC) for Induction Motor (IM) with the use of artificial neural networks (ANN) to increase the system´s performance. Model Reference Adaptive System (MRAS) method is used for the estimation and regulation of rotor´s speed. The whole structure of DTC is designed by Matlab/Simulink. The neural controller is designed using neural Toolbox, and the system´s performance is compared with conventional DTC.
  • Keywords
    "Artificial neural networks","Mathematical model","Training","Stators","Torque","Adaptation models","Rotors"
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power and Energy Conference (EPEC), 2015 IEEE
  • Print_ISBN
    978-1-4799-7662-1
  • Type

    conf

  • DOI
    10.1109/EPEC.2015.7379970
  • Filename
    7379970
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3728700