• DocumentCode
    1873711
  • Title

    The intelligent boiler control system of self-learning and self-optimizing

  • Author

    Li Jing ; Lang Jian-hua ; Li Zhi

  • Author_Institution
    Information Science and Technology Department, Qinggong College, Hebei United University, Tangshan, 063000, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    2137
  • Lastpage
    2140
  • Abstract
    This article discusses the design of intelligent controller for combustion process of Stack-boiler. From the principle of energy conversion and conservation of fuel combustion, it puts forward a kind of control method which calculates the Stack-boiler´s real time efficiency on-line, and uses the self-learning and self-optimizing fuzzy control system to online adjust the air-coal ratio of Stack-boiler in the premise of satisfying the target load, and to make the Stack-boiler´s furnace combustion efficiency to achieve optimal. The control system not only makes the Stack-boiler in the optimal combustion state, but also realizes the real-time online monitoring of the Stack-boiler, and realizes the economic, environmental protection operation of the Stack-boiler.
  • Keywords
    Self-learning; Self-optimizing; Stack-boiler control system; optimum air-coal ratio;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.1421
  • Filename
    6493028