Plate shape closed-loop control method based on influencing self learning of matrix

Abstract

The invention relates to a plate shape closed-loop control method of cold-rolled strip steel based on influencing self learning of a matrix. An influence matrix empirical value table with different plate belt materials and different passes is established by determining two key influence factors; and in the process of the plate shape closed-loop control, actually-measured plate shape data is utilized to improve the quality of the influence matrix empirical value table continuously by a self-learning mode, so as to lead the influence matrix empirical value table to be closer to the actual regulating efficiency of a plate shape regulating mechanism. As the self learning process is carried out under the condition of the practical coupling action of influence factors of the regulating performances of all regulating mechanism, the method is more comprehensive than the factors considered by the intelligent method in a sense. In addition, in the process of closed loop control, influences on calculation of the matrix and self learning of the matrix are realized by adopting a simple mathematical algorithm, the calculating speed is high, and the real-time performance is good. Therefore, the method has the advantages that the reliability is high, the adaptability is strong, online application is suitable, the implementation is convenient and the like.

Description

technical field [0001] The invention relates to a control technology of product quality in the process of cold rolling of strips, in particular to a closed-loop control method of plate shape based on self-learning of influence matrix. Background technique [0002] With the development of science and technology, the demand for strip steel in various industries is increasing. At the same time, users have higher and higher quality requirements for strip steel, especially for cold-rolled sheets such as home appliance steel sheets, automotive steel sheets, and tin-plated steel sheets. plate shape. If the cold-rolled strip is in poor shape, it will seriously affect the quality and life of its subsequent deep-processed products. In order to make the cold-rolled strip products have good flatness, the cold-rolled strip mill must be equipped with a complete flatness closed-loop control system, and the flatness closed-loop control model is the core part of the flatness closed-loop con...

AI Technical Summary

Problems solved by technology

[0049] At present, according to the existing literature, the online solution method of the influence matrix mainly adopts the intelligent method [3，4，5] , however, the inherent weak generalization performance of the intelligent method makes it difficult to achieve stable work in the actual rolling process. In addition, the specific implementation of the intelligent method is also difficult

These factors make it difficult for the shape control method based on the influence matrix to be applied in practice

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