• DocumentCode
    319294
  • Title

    Genetic algorithm based control for power converters

  • Author

    Baba, J. ; Masada, E.

  • Author_Institution
    Tokyo Univ., Japan
  • Volume
    1
  • fYear
    1997
  • fDate
    3-6 Aug 1997
  • Firstpage
    463
  • Abstract
    In the present study, the authors propose a new adaptive control scheme for power converters, based on a novel genetic algorithms (GA) method. Using a simple circuit structure which contains an AC sinusoidal voltage source and two converters, the control scheme and gene structure have been considered. The optimum GA parameters have been determined from some simulations. Various power convertor loads cases have been tested by simulations. As a result, it is found that the GA controller can adapt to changing environments when one controller controls two power converters. It can thus be concluded that the GA controller is able to work in an adaptive manner
  • Keywords
    adaptive control; control system analysis; control system synthesis; genetic algorithms; optimal control; power convertors; voltage control; AC sinusoidal voltage source; adaptive control scheme; changing environments; control design; control simulation; gene structure; genetic algorithm-based control; load variations; optimal voltage control; power converters; Adaptive control; Circuit simulation; Circuit testing; Fluctuations; Genetic algorithms; Genetic mutations; Parallel processing; Power systems; Programmable control; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Conversion Conference - Nagaoka 1997., Proceedings of the
  • Conference_Location
    Nagaoka
  • Print_ISBN
    0-7803-3823-5
  • Type

    conf

  • DOI
    10.1109/PCCON.1997.645655
  • Filename
    645655