• DocumentCode
    3352289
  • Title

    A Neural Network Based Optimal Rotor Flux Estimator for Efficiency Optimization of an Induction Motor Drive

  • Author

    Aguilar, G. Mino ; Eguilaz, J. M Moreno ; Pryymak, B. ; Peracaula, J.

  • Author_Institution
    Dept. of Electron. Eng., Catalonia Tech. Univ., Barcelona
  • Volume
    3
  • fYear
    2006
  • fDate
    9-13 July 2006
  • Firstpage
    2528
  • Lastpage
    2534
  • Abstract
    In this paper, a vector-controlled induction motor drive with efficiency optimization using a neural network based approach is presented. On-line estimators for rotor resistance and mutual inductance provide additional inputs for the neural network. Modeling and simulation results are presented to demonstrate the validity of the proposed method
  • Keywords
    induction motor drives; machine vector control; neurocontrollers; optimal control; induction motor drive; mutual inductance; neural network; optimal rotor flux estimator; rotor resistance; vector-controlled induction motor drive; Copper; Inductance; Induction motor drives; Induction motors; Iron; Magnetic flux; Magnetic losses; Neural networks; Rotors; Stators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2006 IEEE International Symposium on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0496-7
  • Electronic_ISBN
    1-4244-0497-5
  • Type

    conf

  • DOI
    10.1109/ISIE.2006.295970
  • Filename
    4078645
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3352289