• DocumentCode
    2197226
  • Title

    Boiler Optimized Combustion Control Strategy Based on GA PID Neural Network

  • Author

    Gai, Yonggang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
  • fYear
    2010
  • fDate
    1-3 Nov. 2010
  • Firstpage
    327
  • Lastpage
    330
  • Abstract
    According to the combustion control system of industry boiler with large time delay and nonlinear, a kind of combustion system of industry boiler based on GA PID neural network controller design method is proposed in this paper. The boiler model is given and the comparison is made between GA PID neural network controller and the traditional PID controller. The simulation results indicate that the new controller has good performance of strong robustness and disturbance resisting ability than traditional PID controller.
  • Keywords
    boilers; genetic algorithms; neural nets; optimal control; three-term control; GA PID neural network; boiler optimized combustion control strategy; industry boiler; large time delay; nonlinear system; Decoupled control; GA; PID neural network; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-8548-2
  • Electronic_ISBN
    978-0-7695-4249-2
  • Type

    conf

  • DOI
    10.1109/ICINIS.2010.178
  • Filename
    5693551