• DocumentCode
    1753036
  • Title

    Hybrid modeling and simulation of wet flue gas desulphurization process

  • Author

    Shi, Yuntao ; Xiang, Lizhi ; Zhang, Qiming ; Gao, Dongjie

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4649
  • Lastpage
    4653
  • Abstract
    During the development of simulation model of wet flue gas desulphurization (WFGD) in power plant the ordinary differential equations model is developed for the part about which the knowledge is completed. On the other hand based on qualitative knowledge and few data samples a fuzzy T-S model is developed for the part about which the complete knowledge is not obtained. The way to construct the fuzzy T-S simulation model based on the qualitative knowledge and few sample data of the complex system is also discussed. A hybrid real-time simulation model of WFGD is obtained which include quantitive model based on first-law of system and qualitative model. The simulation result indicate the way of hybrid modeling and simulation is effective for modeling and simulation of complex system
  • Keywords
    differential equations; flue gas desulphurisation; fuzzy control; modelling; power plants; process control; simulation; complex system; fuzzy T-S simulation model; hybrid real-time simulation model; ordinary differential equations model; power plant; wet flue gas desulphurization process; Automation; Differential equations; Electronic mail; Flue gases; Fuzzy systems; Intelligent control; Power generation; Power system modeling; Real time systems; fuzzy T-S model; hybrid modeling; qualitative simulation; wet flue gas desulphurization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713263
  • Filename
    1713263