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Cold rolling band steel plate shape intelligent optimization control method

A technology of intelligent optimization and control method, applied in the field of cold-rolled strip steel, can solve the problems of low quality control of cold-rolled strip product shape, incomplete consideration of factors affecting the shape of transmission time lag, etc.

Active Publication Date: 2013-11-27
WISDRI ENG & RES INC LTD
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide an intelligent optimal control method for cold-rolled strip shape to solve the two reasons of the transmission time lag between the rolling mill body and the shape meter and the incomplete consideration of the factors affecting the shape The technical problem that leads to the low quality of cold-rolled strip product shape control

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  • Cold rolling band steel plate shape intelligent optimization control method
  • Cold rolling band steel plate shape intelligent optimization control method
  • Cold rolling band steel plate shape intelligent optimization control method

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Embodiment Construction

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] figure 1 It is a method flowchart of an embodiment of the present invention, and it comprises the following steps:

[0033] 1) Classify common plate shape defects, which are divided into: left wave, right wave, middle wave, double-sided wave, quarter wave and side middle wave; among them, left wave and right wave, middle wave and double-sided wave, and quarter wave The wave and the wave in the middle are two opposite types of plate defects, and only one of the plate defects will appear in the two at a certain moment. Based on the above principles, the shape deviation signal is divided into left wave and right wave components Δ by pattern recognition 1 , intermediate wave and bilateral wave components Δ 2 , and the quarter wave and edge-median wave components Δ 3 (unit is I);

[0034] 2) For strips of the same specification, establish the fuz...

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Abstract

The invention provides a cold rolling band steel plate shape intelligent optimization control method. A plate shape deviation signal is divided into a left wave and right wave component, a middle wave and two-side wave component and a quarter wave and side middle wave component through model recognition. A fuzzy inference rule for cold rolling mill plate shape control is built. A generalized input variable and a generalized fuzzy subset of the variable are defined for the obtained fuzzy inference rule, and then a fuzzy membership function of a fuzzy set that the generalized input variable corresponds to is taken. Online adjusting quantity of a cold rolling mill roll inclining device, a working roll bending device and a middle roll bending device is calculated to obtain an online adjusting quantity calculation model of the cold rolling mill plate shape intelligent optimization control. Online adjustment is conducted according to the obtained online adjusting quantity calculation model. The problem of poor cold rolling band steel product plate shape control quality caused by the fact that transmission lag exists between a mill body and a plate shape instrument and affecting factors of the plate shape are not considered comprehensively is solved.

Description

technical field [0001] The invention belongs to the field of cold-rolled steel strips, in particular to an intelligent optimization control method for cold-rolled strip steel shapes. Background technique [0002] In recent years, with the continuous expansion of the scope of use of cold-rolled strip products, users have higher and higher requirements for the quality of the strip shape, so the cold-rolled strip shape control technology has become a modern steel enterprise and large research institutions. Special attention to key research topics. The principle of flatness control is to calculate the adjustment amount of each flatness control actuator by designing the flatness control algorithm, so that each flatness control means cooperate with each other, so as to eliminate the deviation between the flatness target value and the actual measured value to the greatest extent . [0003] The shape control algorithm is the core content of the cold-rolled strip shape control syst...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B21B37/28
Inventor 赵昊裔
Owner WISDRI ENG & RES INC LTD
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