• DocumentCode
    489828
  • Title

    Aspects in Selecting Predictive Adaptive Control Algorithms

  • Author

    Krãmer, K. ; Unbehauen, H.

  • Author_Institution
    Ruhr-University Bochum, Depart. of Electrical Engineering, P.O. Box 102148, D-4630 Bochum, Federal Republic of Germany, Tel. No. 0234/700 4071, Fax 0234/700 2000
  • fYear
    1992
  • fDate
    24-26 June 1992
  • Firstpage
    2396
  • Lastpage
    2401
  • Abstract
    In the late seventies the first approaches to long-range predictive control methods, e. g. the nonparametric model based DMC, MAC and IDCOM algorithm, have been introduced in literature. Following the main idea of long-range predictive control, several control algorithms have been proposed since then. Some of them - EHAC, EPSAC, GPC, OCS, MURHAC, DMC, MAC and MUSMAR - will be discussed here. The enhancement of all these algorithms with adaptive parameter adjusting techniques leads to their main advantage in dealing with variable or unknown dead-time processes. As in a sense, all these algorithms share the same definition based on using, partly or completly, a common optimization criterion, this joint approach may be used for a common discussion. Within this discussion, a redefrinition of certain methods is proposed and, using this, conclusions of possible aspects of usability for distinct process demands are found in theoretical and simulative examinations. As the GPC algorithm seems to be a favourite one, the disadvantage of computational expense is reduced by proposing a new algorithm.
  • Keywords
    Adaptive control; Application specific processors; Computational modeling; Prediction algorithms; Predictive control; Predictive models; Process control; Signal processing; Uncertain systems; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1992
  • Conference_Location
    Chicago, IL, USA
  • Print_ISBN
    0-7803-0210-9
  • Type

    conf

  • Filename
    4792565