• DocumentCode
    2427899
  • Title

    Auto-tuned fuzzy logic control

  • Author

    Qin, S. Joe

  • Author_Institution
    Fisher-Rosemount Syst. Inc., Austin, TX, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    2465
  • Abstract
    This paper presents an auto-tuned, fuzzy logic controller. It starts with a simple fuzzy PID controller definition which is a useful nonlinear PID controller. Then an analysis of the fuzzy nonlinear relationship is given and some features of the fuzzy controller are discussed. The scaling factors of the fuzzy PID controller are associated with PID controller parameters. Thirdly, a practical approach to auto-tuning the fuzzy PID controller is proposed by using Astrom and Hagglund´s (1984) auto-tuning technique for PID tuning. Last, experiments on the auto-tuned fuzzy PID controller are conducted and compared to regular PID controllers.
  • Keywords
    adaptive control; fuzzy control; nonlinear control systems; self-adjusting systems; three-term control; auto-tuned fuzzy logic control; fuzzy PID controller; nonlinear PID controller; scaling factors; Automatic control; Control systems; Error correction; Fuzzy control; Fuzzy logic; Industrial control; Kilns; Process control; Three-term control; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.735002
  • Filename
    735002