• DocumentCode
    2108335
  • Title

    Application of delta-operator generalized predictive control

  • Author

    Neumann, Robert ; Dumur, D. ; Boucher, P.

  • Author_Institution
    Inst. fur Regelungstech. und Prozessautom., Stuttgart Univ., Germany
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    2499
  • Abstract
    This paper presents a study of stability and an application of a discrete time generalized predictive controller version using the delta operator, called DGPC. From the basic GPC algorithm elaborated by Clarke et al., the delta operator is introduced here to overcome numerical problems which appear in oversampled discrete time models. After an introduction giving the motivation for the use of the δ operator, a first part reminds the algorithmic version of DGPC. A polynomial approach of the DGPC controller is then presented using transfer functions, with the advantages of a quicker real time computation and the possibility of a stability analysis. At the end the equivalent polynomial controller is synthesized and some results obtained on an industrial a.c. motor are given
  • Keywords
    control system synthesis; discrete time systems; predictive control; stability; transfer functions; δ operator; delta-operator generalized predictive control; discrete time generalized predictive controller; industrial AC motor; oversampled discrete time models; stability; stability analysis; transfer functions; Error correction; Industrial control; Numerical models; Optimal control; Polynomials; Predictive control; Sampling methods; Signal processing algorithms; Stability; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325646
  • Filename
    325646