• DocumentCode
    2276586
  • Title

    A self-tuning fuzzy logic controller for temperature control of superheated steam

  • Author

    Isomursu, Pekka ; Rauma, Tapio

  • Author_Institution
    Comput. Technol. Lab., Tech. Res. Centre of Finland, Oulu, Finland
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    1560
  • Abstract
    We first introduce a non-adaptive fuzzy logic controller (FLC) for the control of live steam temperature in a coal-fired power plant. For further enhancing performance, we introduce a self-tuning method for the FLC that modifies the scaling factor of one FLC output. To make the FLC more portable to other similar plants and more robust we add another self-tuning mechanism that runs online and modifies the membership functions of the fuzzy rule set. We have used the meta-rule approach in the tuning mechanisms. The performance of the FLC is compared to a cascade PI controller
  • Keywords
    adaptive control; fuzzy control; fuzzy set theory; self-adjusting systems; steam power stations; temperature control; coal-fired power plant; fuzzy rule set; membership functions; meta-rule approach; self-tuning fuzzy logic controller; superheated steam; temperature control; Control nonlinearities; Control systems; Feeds; Fuzzy logic; Laboratories; Mathematical model; Optimal control; Process control; Temperature control; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343927
  • Filename
    343927