• DocumentCode
    2996328
  • Title

    Multiple model internal model control based on fuzzy membership function

  • Author

    Jun Liu ; Wan-li Wang ; Xiu-hua Dou

  • Author_Institution
    Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    881
  • Lastpage
    885
  • Abstract
    Considering the characteristics of time delay, time variables and variable operation condition in process control system, The partial models are built based on the different operating points integrating fuzzy membership function with weighted sums to improve the traditional internal model control(IMC), and the fuzzy membership functions are obtained by recursion identification method. Then multiple model internal model control (MM-IMC) based on fuzzy membership function that can realize switching the model smoothly is introduced. The simulated example, the superheated steam temperature control system of power plant, shows that the proposed MM-IMC based on fuzzy membership function design method is superior to the IMC and conventional PID in performance of stability, robustness and response speed, and the method is effective.
  • Keywords
    delays; fuzzy control; power plants; power station control; robust control; steam power stations; temperature control; three-term control; conventional PID control; fuzzy membership function; multiple model internal model control; power plant; process control system; recursion identification method; response speed; robustness; stability; superheated steam temperature control system; time delay; Delay effects; Design methodology; Fuzzy control; Fuzzy systems; Power generation; Power system modeling; Process control; Robust stability; Temperature control; Three-term control; Multiple model; fuzzy membership function; internal model control; superheated steam temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636274
  • Filename
    4636274