• DocumentCode
    706790
  • Title

    Extended linearised predictive control: Practical control algorithms for non-linear systems

  • Author

    Megias, D. ; Serrano, J. ; El Ghoumari, M.Y.

  • Author_Institution
    Dept. d´Inf., Univ. Autonoma de Barcelona, Barcelona, Spain
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    2707
  • Lastpage
    2712
  • Abstract
    In this paper two predictive controllers for non-linear systems are presented. Both methods-ELPC and MELPC-are based on a local linearisation of the process at each sampling instant, thus, a priori, should perform better than the controllers designed in terms of a single linearisation about an operating point. On the other hand, their linear formulation leads to computation times much shorter than those provided by non-linear predictive control methods. After their formulation, ELPC and MELPC are compared with a linear predictive controller on a three-degrees-of-freedom robot, showing their good performance and computation times features.
  • Keywords
    linearisation techniques; nonlinear control systems; predictive control; MELPC; modified extended linearised predictive control; nonlinear system; process linearisation; Computational modeling; Joints; Mathematical model; Prediction algorithms; Predictive control; Robots; Trajectory; non-linear systems; predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099735