• DocumentCode
    2644462
  • Title

    Computer simulation of a neural network controlled buck converter

  • Author

    Maddaleno, Franco

  • Author_Institution
    Dept. of Electron., Torino Polytech., Italy
  • fYear
    1994
  • fDate
    7-10 Aug 1994
  • Firstpage
    205
  • Lastpage
    208
  • Abstract
    This work presents the first results obtained by the simulation of a neural network (NN) controlling a DC to DC buck converter. An approach has been chosen in which the NN observes the input disturbances, the state variables and controls the output voltage. Input voltage and output current have been considered as input disturbances, and the network has been trained on typical signals, and then tested on another set of combined disturbances. The simulation has been carried out using MATLAB
  • Keywords
    DC-DC power convertors; digital simulation; learning (artificial intelligence); neurocontrollers; observers; power engineering computing; simulation; DC to DC buck converter; MATLAB; computer simulation; input disturbances observation; input voltage; neural network controlled buck converter; neural network training; output current; output voltage control; state variables observation; Buck converters; Capacitors; Circuit simulation; Computational modeling; Computer simulation; Inductors; Mathematical model; Neural networks; Steady-state; Voltage control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Power Electronics, 1994., IEEE 4th Workshop on
  • Conference_Location
    Trois-Rivieres, Que.
  • Print_ISBN
    0-7803-2091-3
  • Type

    conf

  • DOI
    10.1109/CIPE.1994.396744
  • Filename
    396744