• DocumentCode
    441680
  • Title

    Research of grey predictive fuzzy controller for large time delay system

  • Author

    Han, Pu ; Liu, Hong-Jun ; Meng, Li-Min ; Wang, Na

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    829
  • Abstract
    In order to achieve effectiveness and high control performance of complex processes with large time delay, a predictive fuzzy control method based on grey model is proposed in this paper. By employing grey predictive model, a two-dimensional predictive fuzzy controller is constructed. Its input variables are predictive error and predictive error rate. Fuzzy decision making mechanism according to present state is introduced into the arithmetic to realize self-adaptive adjusting of predictive steps in grey predictive model to enhance the controller´s performance. Thus the disadvantage that the conventional fuzzy control can´t be fed back timely is overcome. Compared with conventional predictive control, its calculation is simple and it is easy to realize. The simulation for the temperature control of decomposing furnace using this method is carried out. The results show the proposed method is effective.
  • Keywords
    decision making; delays; furnaces; fuzzy control; grey systems; predictive control; self-adjusting systems; temperature control; decomposing furnace; fuzzy decision making; grey predictive model; large time delay system; predictive fuzzy control; self-adaptive adjusting; temperature control; Arithmetic; Control systems; Decision making; Delay effects; Error analysis; Fuzzy control; Fuzzy systems; Input variables; Predictive control; Predictive models; Large time delay; decomposing furnace; fuzzy control; grey predictive model; predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527058
  • Filename
    1527058