• DocumentCode
    2792479
  • Title

    Predictive functional control simulation of boiler combustion control system

  • Author

    Jiaying, Zhang ; Xinmei, Wu

  • Author_Institution
    Coll. of Electr. Power, Inner Mongolia Univ. of Technol., Hohhot, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    529
  • Lastpage
    532
  • Abstract
    The predictive functional control is a novel predictive control algorithm. It increases the regularity by introducing the concept of basis functions and improves the response speed and accuracy meeting the industrial process proposed requirements whose algorithm is simple and implementation. Boiler combustion system is a complex time-varying dynamic process with multiple control loops, strong nonlinear, strong coupling, time delay, strong interference features. The traditional PID control algorithm is difficult to achieve good tracking of the process parameters and the ideal control. Predict functional control is used in the boiler combustion for the characteristics of the boiler combustion control system, the simulation results show that the predictive functional control has strong adaptability and high control accuracy, improve the system´s combustion efficiency. The control effect is good than the traditional PID control algorithm.
  • Keywords
    boilers; combustion; delays; power generation control; predictive control; three-term control; time-varying systems; PID control algorithm; boiler combustion control system; industrial process; multiple control loops; predictive functional control simulation; strong coupling; strong interference; strong nonlinear; time delay; time-varying dynamic process; Boilers; Combustion; Furnaces; Predictive models; Process control; Thermal stability; Generalized predictive control; MATLAB; boiler; combustion system; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5986977
  • Filename
    5986977