Grading regulation and control method of high-order flatness defect of ultra-thin cold-rolled strip steel with high width-to-thickness ratio

Abstract

The invention discloses a comprehensive regulation and control method of high-order local flatness defect of ultra-thin cold-rolled strip steel with a high width-to-thickness ratio. The comprehensive regulation and control method comprises the following steps of: establishing a flatness pattern recognition model based on super high-order Legendre orthogonal polynomials, to be specific, selecting appropriate Legendre polynomial degrees according to number of channels of a detecting roller and stated standard error requirements, which describes the measured high-order flatness state of the cold-rolled strip steel, avoids the error message of local high points or low points and reduces the calculated amount of an evaluation function; establishing an efficacy evaluation function grading regulation and control model based on high-order flatness pattern recognition: to be specific, adopting a first-grade regulation and control efficacy function based on Legendre polynomials according to typical regulation and control measures of a tilting roller, a bending roller and lateral movement; and establishing a second-grade regulation and control efficacy function based on local high-order flatness according to a segmented cooling regulation and control measure.

Description

technical field [0001] The invention relates to the field of automatic measurement of steel rolling machinery and equipment, in particular to a hierarchical control method based on high-order shape defects suitable for large-width-thick-ratio ultra-thin cold-rolled steel strips, aluminum strips, copper strips and other strip products. Background technique [0002] The shape index of cold-rolled strip has a great influence on the follow-up process and the quality of the final product. Therefore, in-depth research on the shape detection and its closed-loop control model makes full use of the shape control means to eliminate the online shape deviation during the rolling process to the greatest extent. It is the key technology to improve the shape quality of the rolled strip. The purpose of flatness closed-loop control is to take the flatness signal measured by the flatness meter as the feedback signal, calculate the deviation between the measured flatness and the target flatnes...

AI Technical Summary

Problems solved by technology

Among them, the plate shape pattern recognition method based on polynomial or least square method is simple or has theoretical defects, and cannot truly reflect the actual plate shape signal; the pattern recognition based on the ordinary neural network model requires a large number of effective samples, and the training process is complicated. The number of hidden layers, Key parameters such as membership degree and weight value are not easy to determine accurately, which affects training time and recognition accuracy

Images