• DocumentCode
    3744738
  • Title

    Implementation of a virtual velocity sensor for a DC motor through artificial neural networks in a FPGA system

  • Author

    Rub?n A. Zapat?n;Pablo M. L?cero;Eduardo E. Armijos;Jonathan Coronel;Diego R. Cabrera

  • fYear
    2015
  • Firstpage
    931
  • Lastpage
    935
  • Abstract
    In this paper the implementation of a virtual sensor is presented, using an artificial neural network (ANN) in an FPGA system, which will serve to estimate the speed of a DC motor. The acquisition and processing of signals RNA training and detailed architecture implemented in the FPGA is shown. Finally the behavior of the virtual sensor is analyzed in normal and abnormal operating conditions.
  • Keywords
    "Artificial neural networks","Training","Neurons","Biological neural networks","Field programmable gate arrays","DC motors","Correlation coefficient"
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015 CHILEAN Conference on
  • Type

    conf

  • DOI
    10.1109/Chilecon.2015.7404684
  • Filename
    7404684
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3744738