Skip to main content

Hybrid Intelligent Control Strategy of the Laminar Cooling Process

  • Conference paper
Book cover Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

Included in the following conference series:

  • 2171 Accesses

Abstract

Performance of controlled laminar cooling is usually poor because of the difficulty in continuous online temperature measurement and the complex nature of the laminar cooling process (e.g., highly nonlinear, time varying). This paper developed a hybrid control strategy for the laminar cooling process that integrates Radial Basis Function (RBF) networks and Case-Based Reasoning (CBR). The spraying pattern and the first activated headers are found by a case-based reasoner, while the number of activated headers is calculated in real time by RBF networks. Experimental studies using production data from a hot strip mill show the superior performance of the proposed control strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chai, T.Y., Tan, M.H., Chen, X.Y., Li, H.X.: Intelligent Optimization Control for Laminar Cooling. In: Camacho, B., Puente, D. (eds.) Proc. of the 15th IFAC World Congress, pp. 691–696. Elsevier, Amsterdam (2003)

    Google Scholar 

  2. Groch, A.G., Gubemat, R., Birstein, E.R.: Automatic Control of Laminar Flow Cooling in Continuous and Reversing Hot Strip Mills. Iron and Steel Engineer 67(9), 16–20 (1990)

    Google Scholar 

  3. Leitholf, M.D., Dahm, J.R.: Model Reference Control of Runout Table Cooling at LTV. Iron and Steel Engineer 66(8), 31–35 (1989)

    Google Scholar 

  4. Moffat, R.W.: Computer Control of Hot Strip Coiling Temperature with Variable Flow Laminar Spray. Iron and Steel Engineer 62(11), 21–28 (1985)

    Google Scholar 

  5. Ditzhuijzen, V.G.: The Controlled Cooling of Hot Rolled Strip: A Combination of Physical Modeling, Control Problems and Practical Adaptation. IEEE Trans. Aut. Cont. 38(7), 1060–1065 (1993)

    Article  Google Scholar 

  6. Iwamoto, M., Jeyerajan, M., Wada, H.: Process Control Computer System of Fukuyama No.2 Hot Strip Mill. Nippon Kokan Fukuyama Works Tech. Rep. 46 (1986)

    Google Scholar 

  7. Miyake, Y., Nishide, T., Moriya, S.: Device and System for Controlled Cooling for Hot Strip Mill. Transactions ISIJ 20(2), 496–503 (1980)

    Google Scholar 

  8. Kolodner, J.L.: Case-Based Reasoning, 1st edn. Morgan Kaufmann, New York (1993)

    Google Scholar 

  9. Aamodt, A., Plaza, E.: Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. AI Comm. 7(1), 39–59 (1994)

    Google Scholar 

  10. Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall, Upper Saddle River (1999)

    MATH  Google Scholar 

  11. Tan, M.H., Chai, T.Y.: Laminar Cooling Process Model Development Using RBF Networks. In: Wang, J., Yi, Z., Żurada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol. 3973, pp. 852–857. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Shan, X.: Transformation and Development of the Cooling Control System of the 2050mm Baosteel Hot Strip Mill. In: Ren, D. (ed.) Development of Science and Technology in Metallurgy, pp. 1–4. Metallurgical Industry Press, Hangzhou (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tan, M., Li, S., Chai, T. (2006). Hybrid Intelligent Control Strategy of the Laminar Cooling Process. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_125

Download citation

  • DOI: https://doi.org/10.1007/11760191_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics