• DocumentCode
    1743821
  • Title

    Self-tuning fuzzy looper control for rolling mills

  • Author

    Janabi-Sharifi, F. ; Fan, J.

  • Author_Institution
    Dept. of Mech. Eng., Ryerson Polytech. Univ., Toronto, Ont., Canada
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    376
  • Abstract
    Deals with the problem of looper control for tension-free rolling. Conventional controllers can not deal effectively with unmodeled dynamics and large variations which can lead to scrap runs and damages to machinery. Therefore, a fuzzy controller has been designed to use the expert knowledge of the operators for disturbed process control. Also, a self-tuning algorithm is incorporated for both on-line and off-line tuning of the fuzzy membership functions. The paper discusses the design of the fuzzy logic controller and its self-tuning. The effects of various design options are discussed and practical conclusions are made. Results from simulations are also presented
  • Keywords
    adaptive control; dynamics; fuzzy control; mechanical variables control; process control; rolling mills; self-adjusting systems; tuning; design options; disturbed process control; expert knowledge; fuzzy logic controller; off-line tuning; online tuning; self-tuning fuzzy looper control; tension-free rolling; unmodeled dynamics; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Humans; Mathematical model; Milling machines; Noise robustness; Robust control; Steel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2000.912789
  • Filename
    912789