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Cold-rolled strip steel plate shape prediction control method

A technology of predictive control and strip shape, applied in the field of cold-rolled strip steel, can solve the problem of low quality of cold-rolled strip product shape control

Active Publication Date: 2013-12-04
WISDRI ENG & RES INC LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a cold-rolled strip shape prediction control method to solve the problem of low quality of cold-rolled strip product shape control due to the transmission time lag between the rolling mill body and the shape meter. technical problem

Method used

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  • Cold-rolled strip steel plate shape prediction control method
  • Cold-rolled strip steel plate shape prediction control method
  • Cold-rolled strip steel plate shape prediction control method

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Embodiment Construction

[0089] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0090] figure 1 It is a method flowchart of an embodiment of the present invention, and it comprises the following steps:

[0091] 1) For cold-rolled strips of the same specification, establish a corresponding fuzzy reasoning model for flatness predictive control:

[0092]IFΔF is FP and IFΔT1is T1P and IFΔT2is T2P and, THEN U=U 1 ;

[0093] IFΔF is FP and IFΔT1is T1P and IFΔT2is T2Z and, THEN U=U 2 ;

[0094] IFΔF is FP and IFΔT1is T1P and IFΔT2is T2N and, THEN U=U 3 ;

[0095] IFΔF is FP and IFΔT1is T1Z and IFΔT2is T2P and, THEN U=U 4 ;

[0096] IFΔF is FP and IFΔT1is T1Z and IFΔT2is T2Z and, THEN U=U 5 ;

[0097] IFΔF is FP and IFΔT1is T1Z and IFΔT2is T2N and, THEN U=U...

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Abstract

The invention provides a cold-rolled strip steel plate shape prediction control method, comprising the following steps: for cold-rolled strip steel of the same specification, establishing a corresponding plate shape prediction control fuzzy reasoning model; setting fuzzy membership functions of various parameters in the plate shape prediction control fuzzy reasoning model by being combined with the characteristics of influence of rolling force change on the strip steel plate shape; establishing plate shape fuzzy prediction control models by utilizing a Takagi-Sugeno fuzzy model modeling rule; selecting a corresponding plate shape fuzzy prediction control model to carry out online adjustment on a working roller bending device. A dynamic relationship is established among rolling force variation, forward pull variation of a roll mill, backward pull variation of the roll mill, and online adjustment variable of the working roller bending device by using a fuzzy modeling method, the adverse effect of transmission time lag existing between the roll mill body and a plate shape instrument on the plate shape control at the outlet of the cold-rolled strip steel, and two familiar plate shape defects of intermediate waves and edge waves existing in the cold-rolled strip steel products are effectively overcome.

Description

technical field [0001] The invention belongs to the field of cold-rolled steel strips, in particular to a method for predicting and controlling the shape of cold-rolled steel strips. 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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IPC IPC(8): B21B37/38
Inventor 赵昊裔
Owner WISDRI ENG & RES INC LTD
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