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10.5555/2028395.2028423guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Simplified modeling of clinker cooling based on long term industrial data

Published: 14 July 2011 Publication History

Abstract

The purpose of the present study is to develop a simplified dynamical model of clinker cooling process performed in grate coolers. The responses of three different pressures to changes of the speed of the first moving grate are modeled and the dynamical results are compared. The developed algorithm computes not only the average parameters but their uncertainty as well. The distributions of the dynamical parameters deviate significantly from the normal one in the most cases. The described simplified dynamics can be utilized for the effective parameterization of a robust controller regulating the clinker cooling process as well as for the construction of efficient simulators.

References

[1]
Taylor, H.F.W., The Chemistry of Cements, Academic Press, London, 1972, Vol. 2, pp. 103- 106.
[2]
Harder, J., Latest Trends in Clinker Cooling, ZKG International, 2011, Vol. 3, pp. 32-42.
[3]
Wardana, A., PID-Fuzzy Controller for Grate Cooler in Cement Plant, Proceedings of 5th Asian Control Conference (ASCC 2004), Melbourne, 2004.
[4]
Tsamatsoulis, D., Dynamic Behavior of Closed Grinding Systems and Effective PID Parameterization, WSEAS TRANSACTIONS on SYSTEMS and CONTROL, 2009, Vol. 4, pp. 581-602.
[5]
Rivera, D.E., Lee, H., Braun, M.W., Mittelman, H.D., "Plant Friendly" System Identification: A Challenge for the Process Industries, 13th IFAC Symposium of System Identification, Rotterdam, 2003.

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    Published In

    cover image Guide Proceedings
    Proceedings of the 15th WSEAS international conference on Systems
    July 2011
    481 pages
    ISBN:9781618040237

    Publisher

    World Scientific and Engineering Academy and Society (WSEAS)

    Stevens Point, Wisconsin, United States

    Publication History

    Published: 14 July 2011

    Author Tags

    1. clinker
    2. cooler
    3. dynamics
    4. kiln
    5. model
    6. uncertainty

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