Control device and control method for tandem rolling mill

Abstract

A roll force prediction error calculation section estimates roll forces in rolling stands utilizing rolling actual values acquired at the time when a strip is rolled, and calculates roll force prediction errors from the estimated roll forces and the rolling actual values. A roll force balance consistency value calculation section (15) calculates roll force balance consistency values that indicate the degree of differences between the roll force prediction errors in the rolling stands and roll force prediction errors in neighboring rolling-stands. A roll force compensation value calculation section (16) calculates roll force compensation values from the roll force prediction errors and the roll force balance consistency values. A control reference setup section estimates a roll force of a strip to be next rolled, compensats the estimated roll forces by the roll force compensation values which are calculated in the roll force compensation value calculation section, and calculates screw-down positions to be set in the respective rolling stands, utilizing the compensated roll forces.

Description

technical field [0001] The present invention relates to a control device and control method for a tandem rolling mill suitable for improving the quality of a steel plate. Background technique [0002] In the past, in the thermal rolling control of steel plates, the following method is generally used, that is, the rolling state of the rolled steel plate is predicted before rolling, and the pressing position (equivalent to the gap between the upper and lower work rolls) and the roll speed are determined. , control the front end of the steel plate, and then use the plate thickness obtained from the detector and the steel plate tension between the rolling stands to gradually correct the pressing position and roll speed to appropriate values. In this control method, in order to control the thickness of the front end of the steel plate to a target value with high precision and to stabilize the rolling when the front end bites into each rolling stand of the finishing mill, it is ne...

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Problems solved by technology

[0014] On the other hand, the rolling load error variation model disclosed in Patent Document 3 is a linear approximation, so it cannot cope with such nonlinear rolling load prediction error characteristics.

Therefore, if a model that can cope with nonlinearity is introduced, there arises a problem that the model becomes complicated and the amount of calculation further increases

In addition, there is a problem that the prediction result of rolling load deviates correspondingly to the complexity of the above model

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