• DocumentCode
    3426211
  • Title

    Comparison of rotary cement kiln identified models

  • Author

    Noshirvani, G. ; Fatehi, A. ; Araabi, B. ; Shirvani, M. ; Azizi, M.

  • Author_Institution
    ACECR Markazi Branch, Arak, Iran
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    1290
  • Lastpage
    1295
  • Abstract
    Rotary cement kiln is the main part of a cement plant that clinker is produced in it. Clinker is the main ingredient of cement. Continual and prolonged operation of rotary cement kiln is vital in cement factories. However, prolonged operation of the kiln is not possible and periodic repairs of the refractory lining would become necessary, due to non-linear phenomena existing in the kiln, such as sudden falls of coatings in the burning zone and probability of damages to the refractory materials during production. This is the basic reason behind the needs for a comprehensive model which is severely necessary for better control of this process. Such a model can be derived based on the mathematic analysis with consultation of expert operator experiences. In this paper both linear and nonlinear model are identified for rotary kiln of Saveh white cement factory. The linear model is introduced using Box-Jenkins structure. The results of the obtained model were satisfactory compared to some other linear models and can be used for designing adaptive or robust controllers. Also, nonlinear system identification via Neural Network technique is performed and its result was compared to linear models.
  • Keywords
    adaptive control; cement industry; control system synthesis; kilns; linear systems; neural nets; nonlinear control systems; parameter estimation; robust control; Box-Jenkins structure; Saveh white cement factory; adaptive controllers; burning zone; cement plant; clinker; coatings; damage probability; linear model; model parameter estimation; neural network technique; nonlinear phenomena; refractory lining repair; robust controllers; rotary cement kiln identified models; system identification; Adaptive control; Building materials; Coatings; Kilns; Mathematical model; Mathematics; Process control; Production facilities; Programmable control; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. ICCA 2009. IEEE International Conference on
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-4706-0
  • Electronic_ISBN
    978-1-4244-4707-7
  • Type

    conf

  • DOI
    10.1109/ICCA.2009.5410289
  • Filename
    5410289