• DocumentCode
    3592377
  • Title

    An on-line intelligent control scheme for tension control

  • Author

    Yeung, M.F. ; Sum, K.W.

  • Author_Institution
    Coventry Polytech., UK
  • fYear
    1992
  • Firstpage
    244
  • Lastpage
    249
  • Abstract
    In a high speed process control environment, system dynamics (including the disturbance) are often non-linear and fast changing. The classical self-tuning control (STC) strategy takes several seconds before obtaining a system model, STC cannot thus handle a fast changing environment. Rule based control can compensate for fast changes, but lacks a formal method to optimise the controller´s effort. A new control scheme is proposed. It consists of two simple controllers which combine the advantages of mathematical optimisation and the uncertainty handling of fuzzy logic
  • Keywords
    adaptive control; force control; fuzzy logic; knowledge based systems; process computer control; adaptive control; fuzzy logic; intelligent control scheme; mathematical optimisation; process control environment; self-tuning control; system dynamics; tension control; textile winders; uncertainty handling;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Intelligent Systems Engineering, 1992., First International Conference on (Conf. Publ. No. 360)
  • Print_ISBN
    0-85296-549-4
  • Type

    conf

  • Filename
    171947