• DocumentCode
    3085505
  • Title

    Parametric ARX Modeling of the Electrolytic Smelter Pot

  • Author

    Da Silva, Antonio José ; Neto, João Viana Da Fonseca ; Nagem, Nilton Freixo

  • Author_Institution
    Lab. of Process Control, Fed. Univ. of Maranhao, Sao Luis
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    217
  • Lastpage
    222
  • Abstract
    The anode effect that occurs in electrolytic smelter pot is responsible for gases such as PFC´s. These gases contributeto the greenhouse effect, and in addition jeopardizes its productive capacity. From the voltage (output) and current (input) signals and based on systems identification theory, the ARX models of the electrolytic smelter pot are built to represent the steady state operation and the anode effect occurrence. After the simulations based on real anode effect signal and algebraic properties of the transfer functions some models are validated based on the time response speed ofconvergence. The selected transfer functions of the electrolytic smelter pot are used to perform the steady state representation and are oriented to predict the anode effect by the increasing of voltage. Therefore, this paper showsour latest investigation on parametric ARX models that represent the behavior of the plant in the neighborhood of its instability operation point.
  • Keywords
    air pollution; algebra; anodes; electrolysis; electrolytic devices; smelting; transfer functions; algebraic properties; anode effect; electrolytic smelter pot; greenhouse effect; instability operation point; parametric ARX modeling; steady state operation; systems identification theory; transfer functions; Smelting; ARX model; Anode Effect; Electrolytic Smelter Pot; Parametric Estimation; Parametric modeling of Dynamic Systems; System identification; Transfer Function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.94
  • Filename
    4809766