• DocumentCode
    2007524
  • Title

    Inverter Control Research Based on Immune Algorithms

  • Author

    Xiangzheng, Xu ; Baichao, Chen ; Fangcheng, Gan

  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2031
  • Lastpage
    2034
  • Abstract
    In this paper a new control law of inverters based on immune algorithms is presented. In the control law multi-objective function is created, which enables a voltage-source type inverter to produce a near standard sine wave with a minimum switching loss. Because the control law is based on float-coded immune algorithms (IA), the method overcomes the disadvantages of binary-coded genetic algorithm (GA), effectively adopts float-coded manner to make the work simple and quick and improves the speed and precision of the algorithm. Through computer simulation the result has proven that the immune algorithms are effective to the inverter control.
  • Keywords
    genetic algorithms; invertors; float-coded immune algorithm; genetic algorithm; multiobjective optimisation; sine wave; voltage-source type inverter control law; Arm; Automatic control; Bridge circuits; Circuit simulation; Power electronics; Pulse width modulation inverters; Shape; Switches; Switching loss; Voltage control; immune algorithm; inverter; multiple objective optimizations; switching loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376717
  • Filename
    4376717