• DocumentCode
    3121766
  • Title

    Multi-model adaptive predictive functional control and its application

  • Author

    Wang, Dong-feng ; Han, Pu ; Wang, Guo-yu ; Lu, Hui-ming

  • Author_Institution
    Dept. of Power Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    4
  • fYear
    2002
  • fDate
    4-5 Nov. 2002
  • Firstpage
    2126
  • Abstract
    Predictive functional control (PFC) is usually used because of its strong robustness that can overcome the plant´s time varying in a not wide range, but if the plant´s property varies in a very wide range, ideal-regulating results could not be obtained while fixed model is used. In view of slow time-varying system, an adaptive multi-model PFC method using first-order plus pure time-delay simplified model is presented, adaptive parameter identification algorithm is convergent, the method is simple and easy to be realized. The strategy is applied to a main steam temperature system of a coal-fired power plant; computer simulation results show that the method is effective; good regulating performance is obtained while controlled plant varies.
  • Keywords
    learning (artificial intelligence); model reference adaptive control systems; parameter estimation; predictive control; time-varying systems; coal-fired power plant; multi-model adaptive predictive functional control; parameter identification algorithm; slow time-varying system; time-delay simplified model; Adaptive control; Adaptive systems; Computer simulation; Parameter estimation; Power generation; Power system modeling; Predictive models; Programmable control; Robust control; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
  • Print_ISBN
    0-7803-7508-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2002.1175414
  • Filename
    1175414