• DocumentCode
    2674994
  • Title

    Predictive control based on wiener model for inlet pressure of primary dynamic wave in Sulfuric Acid production from smelter gas

  • Author

    Chen, Chunhua ; Cui, Bin ; Yu, Feng ; Zhang, Jun

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    3594
  • Lastpage
    3598
  • Abstract
    The structural features and parameter identification of wiener model are firstly introduced in this paper, and then through the online solving method Newton-Rapshon, the GPC algorithm based on wiener model is applied to the primary dynamic wave inlet pressure control of Sulfuric Acid Industry. Simulation results show that the GPC algorithm based on wiener model can solve the inlet pressure control problem of primary dynamic wave very well. Considering the inlet pressure drastic change when the working condition switches, some methods are adopted and the control effect is improved fatherly.
  • Keywords
    Newton-Raphson method; chemical industry; parameter estimation; predictive control; pressure control; production control; smelting; stochastic processes; sulphur compounds; GPC algorithm; H2SO4; Newton-Rapshon method; Wiener model; online solving method; parameter identification; predictive control; primary dynamic wave inlet pressure control; smelter gas; structural feature identification; sulfuric acid industry; sulfuric acid production; Employee welfare; Equations; Mathematical model; Predictive control; Predictive models; Switches; generalized predictive control; inlet pressure control of primary dynamic wave; wiener model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244576
  • Filename
    6244576