• DocumentCode
    2790139
  • Title

    An improved PID generalized predictive control algorithm

  • Author

    Chen, Guang-Yi ; Ren, Ping ; Pei, Hai-Long

  • Author_Institution
    Dept. of Autom., Foshan Univ., Foshan
  • Volume
    4
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1877
  • Lastpage
    1881
  • Abstract
    To take the advantages of both generalized predictive control (GPC) and proportion-integral-differential control (PID), it is feasible to combine them together to form up a new predictive control algorithm (PID-GPC). However, there is large online computational burden in GPC algorithm itself. And PlD-GPC algorithm has also increased the computation quantity a little. The overall computational burden is so heavy that it restrains the on-line application of PID-GPC. Hence, it is imperative to improve the control algorithm to broaden its application. This paper is concerned with lightening computational burden by exploring its internal mechanism and puts forward an improved algorithm, which just needs to pick the reciprocal of a number, instead of calculating the inverse matrix. The simulation results show that this improved algorithm is feasible and effective.
  • Keywords
    predictive control; three-term control; generalized predictive control algorithm; online computational burden; proportion-integral-differential control; Automation; Cost function; Cybernetics; Machine learning; Machine learning algorithms; Pi control; Prediction algorithms; Predictive control; Proportional control; Three-term control; Algorithm; Generalized predictive control; PID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620712
  • Filename
    4620712