• DocumentCode
    3137766
  • Title

    Application of self-tuning fuzzy PID controller on the AVR system

  • Author

    Farouk, Naeim ; Bingqi, Tian

  • Author_Institution
    Sch. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    2510
  • Lastpage
    2514
  • Abstract
    Optimal tuning of proportional-integral-derivative (PID) controller parameters is necessary for the satisfactory operation of automatic voltage regulator (AVR) system. This study presents a tuning fuzzy logic approach to determine the optimal PID controller parameters in AVR system. The developed fuzzy system can give the PID parameters on-line for different operating conditions. The suitability of the proposed approach for PID controller tuning has been demonstrated through computer simulations in an AVR system.
  • Keywords
    adaptive control; fuzzy control; optimal control; self-adjusting systems; stability; three-term control; voltage control; voltage regulators; AVR system; automatic voltage regulator system; computer simulation; fuzzy system; optimal PID controller parameters; optimal tuning; proportional-integral-derivative controller parameter; self-tuning fuzzy PID controller; stability; tuning fuzzy logic approach; Automatic voltage control; Fuzzy logic; Generators; Niobium; Transfer functions; Tuning; Automatic Voltage Regulator (AVR); Fuzzy Logic Controller; PID Controller; Simulation and Result;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-1275-2
  • Type

    conf

  • DOI
    10.1109/ICMA.2012.6285741
  • Filename
    6285741