Data Fusion Based Quality Monitoring and Control of Strip Thickness

Abstract:

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This paper first introduces the principle of AGC and conventional AGC in Hot Strip Mill (HSM). A linearized and discretized state-space model used for rolling force and thickness control is obtained by using recursive squares method. A data fusion algorithm based on Kalman filter is presented. For hot strip systems with complex multi-variables, an asynchronous fusion estimation algorithm is built and applied to the thickness prediction of the hot strip mill and the plasticity coefficient Q of strip prediction. Finally, real-time prediction on thickness and plasticity coefficient of the coming strip is synthetically utilized in hot strip rolling thickness control system, to improve the quality of final coming strip thickness.

Info:

Periodical:

Advanced Materials Research (Volumes 230-232)

Edited by:

Ran Chen and Wenli Yao

Pages:

266-273

DOI:

10.4028/www.scientific.net/AMR.230-232.266

Citation:

K. X. Peng and D. H. Zhou, "Data Fusion Based Quality Monitoring and Control of Strip Thickness", Advanced Materials Research, Vols. 230-232, pp. 266-273, 2011

Online since:

May 2011

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Price:

$35.00

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