• DocumentCode
    1724552
  • Title

    Immune Algorithms Based Approach for Inverter Control

  • Author

    Min, Zhao ; Xiangzheng, Xu

  • Author_Institution
    East China Jiao Tong Univ., Nanchang
  • fYear
    2007
  • Abstract
    In this paper a new control law of inverters based on immune algorithms (IA) is presented. Because the control law is based on float-coded immune algorithms, it 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 shows that the immune algorithms are effective to the inverter control.
  • Keywords
    genetic algorithms; invertors; binary-coded genetic algorithm; immune algorithms; inverter control; Arm; Bridge circuits; Circuit simulation; Instruments; Power electronics; Pulse width modulation inverters; Shape; Switches; Switching circuits; Voltage control; immune algorithm; inverter; multiple objective optimizations; optimization control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1136-8
  • Electronic_ISBN
    978-1-4244-1136-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2007.4350715
  • Filename
    4350715