Intelligent Operation Control for the Fused Magnesia Production

Article Preview

Abstract:

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 391-392)

Pages:

1450-1454

Citation:

Online since:

December 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] D. M. Wang, M. X. Guo. Energy for Metallurgical Industry, Vol. 16 (1997)pp.36-39.

Google Scholar

[2] Y. P. Tong, X. Zhang, H. G. Zhang. Control Engineering of China., Vol. 14 (2007)pp.205-211.

Google Scholar

[3] G. Liu, Y. Liu. Industrial Heating, Vol. 33 (2004)pp.55-58.

Google Scholar

[4] G. Liu. Industrial Heating, Vol. 1 (2003)pp.41-43.

Google Scholar

[5] M. A. Reuter, M. Oosthuizen, I. J. Barker, M. S. Rennie, and A. de Waal. Mintek, Randburg, South Africa, 2002: 97-102. Vol. ()p.

Google Scholar

[6] W. L. Ma. Shenyang: Northeastern University, (2006 ).

Google Scholar

[7] X. H. Liu, J. Li. Proceedings of the 4th World Congress on Intelligent Control and Automation. Shanghai, China, June, ( 2002).

Google Scholar

[8] Z. M. Li. Proceedings of the World Congress on Intelligent Control and Automation (WCICA). Hefei, China, July, (2000).

Google Scholar

[9] Z. Y. Wang. Shenyang: Northeastern University, (2001).

Google Scholar

[10] B. Dong, L. Zhang, Y. J. Wu, et al. 2008 Chinese Control and Decision Conference (CCDC), Yantai, Shandong, China, July, (2008).

Google Scholar

[11] Y. J. Wu, L. Zhang, H. Yue, T. Y. Cha. Journal of Chemical Industry and Engineering, Vol. 59 (2008)pp.1686-1690.

Google Scholar

[12] M. X. Guo. Industry Furnace (Metallurgical Industry Pub, China 2002. ).

Google Scholar