• DocumentCode
    177210
  • Title

    Research on lime kiln temperature system based on fuzzy PID algorithm and optimal control

  • Author

    Li Shaoming ; Yang Peng ; Yang Fan ; Zhang Guoli

  • Author_Institution
    Anhui Univ. Of Technol., Ma´anshan, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    5141
  • Lastpage
    5144
  • Abstract
    Considering the problem of the low combustion efficiency in the combustion control system of the sleeve kiln, and the low activity of the lime produced, a plan is designed for the intelligent temperature control in the combustion chamber of the lime kiln. First, with the aim of controlling the temperature of the combustion chamber, and to adjust the gas flow, a plan is proposed to use fuzzy PID intelligence to control the temperature of the combustion chamber, to improve the activity of lime. Second, it is also vital to optimize the technological conditions in the process of roasting limestone. Through the fuzzy control of air-fuel ratio, the oxygen content in the flue gas can be controlled and the combustion efficiency can be maximized. And in the end of the paper, a simulation is made in the MATLAB. The result shows that the system responses fast, with low overshoot and good stability.
  • Keywords
    combustion; flue gases; fuzzy control; intelligent control; kilns; optimal control; optimisation; temperature control; three-term control; air-fuel ratio; combustion chamber; combustion control system; combustion efficiency; flue gas; fuzzy PID control algorithm; fuzzy PID intelligence; gas flow adjustment; intelligent temperature control; lime kiln temperature system; limestone roasting process; optimal control; oxygen content; sleeve kiln technology; stability; technological conditions optimization; Combustion; Fuzzy control; Kilns; Niobium; PD control; Process control; Temperature control; Fuzzy Control; Fuzzy PID; Lime; Optimal Control; Temperature Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6853097
  • Filename
    6853097