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Temperature Control in Cement Rotary Kiln with Neural Network-Based Heuristic Dynamic Programming

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Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5552))

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Abstract

During the production process of modern cement industry, the rotary kiln is the key equipment .The temperature of cement rotary kiln is a large lag, large inertia, complex nonlinear controlled object. There are many external factors influencing the temperature, and there exist coupling and uncertainties among various factors. Approximate Dynamic Programming (ADP) is an on line control approach that based on actual data rather than on the accurate mathematical model of the controlled object. Through technical studies on the cement rotary kiln, this paper proposes to control the temperature of rotary kiln by using Heuristic Dynamic Programming (HDP) which is a type of ADP. A simulation of the cement rotary kiln is carried out using Matlab. The simulation results show that the HDP controller has good performance. It is possible to keep the temperature of sintering zone stable in a certain range, and the temperature can meet the requirements of cement clinker production.

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References

  1. Ma, B.G.: New Dry Process Cement Production Technology. Chemical Industry Press (January 2007)

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Author information

Authors and Affiliations

  1. Guangxi University, Nanning, 530004, China

    Xiaofeng Lin, Tangbo Liu, Deguang Cao & Qingbao Huang

Authors
  1. Xiaofeng Lin
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  2. Tangbo Liu
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  3. Deguang Cao
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  4. Qingbao Huang
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático,, CINVESTAV-IPN,, A.P. 14-740, Av.IPN 2508,, D.F., 07360,, México, México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering,, Stevens Institute of Technology,, NJ 07030,, Hoboken,, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering,, South Dakota School of Mines & Technology,, 501 E. St. Joseph Street,, SD 57701,, Rapid City,, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Lin, X., Liu, T., Cao, D., Huang, Q. (2009). Temperature Control in Cement Rotary Kiln with Neural Network-Based Heuristic Dynamic Programming. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_122

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  • DOI: https://doi.org/10.1007/978-3-642-01510-6_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01509-0

  • Online ISBN: 978-3-642-01510-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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