• DocumentCode
    2648980
  • Title

    A comparative study for single and multilayer neural networks applied to speed estimation in induction motors

  • Author

    Goedtel, A. ; Graciola, C. ; Silva, S.A.O. ; Nascimento, C.F. ; Suetake, M.

  • Author_Institution
    Fed. Technol. Univ. of Parana, Medianeira, Brazil
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Many electronic drivers for the induction motor control are based on sensorless technologies. Load monitoring and failure prediction are also based in this methodology. The proposal of this work is to present a comparative study between single and multilayer neural networks used as an alternative approach of speed estimation, from transient to steady state. Simulation results are presented to validate the proposed approach.
  • Keywords
    drives; induction motors; machine control; neural nets; electronic drivers; failure prediction; induction motor control; load monitoring; multilayer neural networks; sensorless technologies; speed estimation; steady state; transient state; Artificial neural networks; Equations; Induction motors; Mathematical model; Rotors; Stator windings; Induction Motors; Neural Networks; Speed Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2010 XIX International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-4174-7
  • Electronic_ISBN
    978-1-4244-4175-4
  • Type

    conf

  • DOI
    10.1109/ICELMACH.2010.5607949
  • Filename
    5607949
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2648980