High-precision strip shape control prediction method for CVC (continuously variable crown) four-roll cold rolling mill

Abstract

The invention relates to a high-precision strip shape control prediction method for a CVC (continuously variable crown) four-roll cold rolling mill. The high-precision strip shape control prediction method includes the steps: (1) building a strip shape prediction model for the CVC four-roll cold rolling mill; (2) determining parameters of the strip shape prediction model by means of regression; and (3) predicting a crown regulating domain of the CVC four-roll cold rolling mill in an online and real-time manner according to the regulating range of strip steel widths, roll radiuses, roll bending force and traversing positions under the condition of determined rolling force based on the strip shape prediction model. By the aid of the technical scheme, the strip shape prediction model is built, the secondary crown and the quaternary crown of a bearing roll gap can be accurately predicted, and the strip shape regulating capability of the rolling mill can be predicted in an online manner based on the strip shape prediction model. Besides, preset values of the roll bending force and roll shifting of the CVC four-roll cold rolling mill can be optimized, so that double waves or middle waves in a secondary wave form and edge and middle composite waves in a quaternary wave form can be effectively controlled, and the yield of a strip is improved.

Description

technical field [0001] The invention relates to a shape control technology of a cold rolling mill, in particular to a method for predicting a high-precision shape control domain of a CVC four-roll cold rolling mill. Background technique [0002] The flatness prediction model is an important basis for the design of the flatness control system. Whether it is the analysis of the control characteristics of the adjustment mechanism in the flatness control system or the online real-time control, an accurate flatness prediction model is required. An accurate flatness prediction model will definitely Improve the control precision of the flatness control system. [0003] In the rolling process, the control of the plate shape is actually the control of the shape of the load-bearing roll gap. The compound wave corresponds to the side of the shape, therefore, the control of the quadratic wave shape and the quartic wave shape is mainly realized through the control of the secondary conve...

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Problems solved by technology

[0004] The purpose of the present invention is carried out through the important achievement of the plate shape theory research of the influence function method, but the influence function method can easily deal with various complex practical problems, and the calculation accuracy is high, which has reached the practical level; but it does not It cannot be applied online to on-site control. Therefore, a flatness prediction model is established, which can accurately predict the secondary convexity and quaternary convexity of the bearing roll gap, and can predict the flatness adjustment ability of the rolling mill online according to the flatness prediction model , at the same time, it is also possible to optimize the pre-set values ​​of the bending force and roll shifting amount of the CVC four-high cold rolling mill, so as to effectively control the double-sided wave or middle wave and fourth-order wave shape of the strip steel Composite waves in the edge, improve the yield of the strip

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