• DocumentCode
    1683939
  • Title

    Load torque estimation in induction motors using artificial neural networks

  • Author

    Goedtel, Alessandro ; Silva, Ivan Nunes da ; Amaral Serni, Paulo Jose ; Avolio, Edwin

  • Author_Institution
    UNESP, Bauru, Brazil
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1379
  • Lastpage
    1384
  • Abstract
    Induction motors are largely used in several industry sectors. The dimensioning of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal of the paper is to use artificial neural networks as tools for dimensioning of induction motors rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach
  • Keywords
    induction motors; multilayer perceptrons; parameter estimation; artificial neural networks; dimensioning; induction motors; load behavior; load torque estimation; shaft; Artificial neural networks; Induction motors; Intelligent networks; Iron; Mathematical model; Proposals; Rotors; Shafts; Steady-state; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7278-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.2002.1007717
  • Filename
    1007717