JPH0335804A - Control device for rolling mill - Google Patents

Abstract

PURPOSE:To control rolling mills with high accuracy by selecting an optimization standard according to the conditions for working a base material for rolling, determining the controlling variables to be supplied to respective control sections from the distribution ratios of the controlling variable corresponding to this optimization standard and controlling the respective control sections, such as roll speed, by this controlling variable. CONSTITUTION:Only one optimization standard is selected from the respective optimization standard flows when the data on the working conditions is applied to an optimization standard selecting section 1. If, for example, the data on the working conditions of a high carbon content of the base material is applied, the hardness of the base material is high and, therefore, the power horse distributions between respective rolling stands are preferably optimized and this optimization standard flow 2 is selected. The distribution ratios of the controlling variables to be applied to the control sections of the respective stands to optimize the horse powers to be applied to the respective rolling stands are stored in a distribution ratio memory section 3. A controlling variable computing section 4 reads the distribution ratios of the controlling variables from the memory section 3, substituted the same into a prescribed mathematical model and determines the controlling variables to be supplied to the control sections of the respective stands. The computation of the high accuracy is possible in this way and the rolling quantity is improved.

Description

[Detailed description of the invention] [Objective of the invention] (Industrial application field) The present invention selects the optimal one from among a plurality of control criteria according to the processing conditions of the rolled base material, and based on this, each The present invention relates to a rolling mill control device that calculates a control amount to be supplied to a control section.

(Prior Art) In a rolling mill used in a steel factory or the like, a rolled base material is processed into desired dimensions by adjusting the roll gap, roll speed, etc. of each rolling stand.

The control amount given to each of these control units is calculated based on an optimization standard that determines the optimal distribution ratio of elements that serve as standards for determining the control amount, such as horsepower applied to each rolling stand.

Conventionally, calculation of such a control amount has been performed based on a single optimization criterion. Therefore, when the horsepower distribution to each rolling stand is set as an optimization criterion, the control amount is calculated so that the horsepower distribution ratio is optimized.

For this reason, if processing conditions unrelated to horsepower distribution, such as the alloy pole of the rolling base material, the processing method, or the alloy properties of the rolling rolls or the degree of roll wear, change, high-precision rolling control becomes impossible, and rolling Problems such as uneven judiciary will occur. In order to prevent this, the operator finely adjusts the distribution ratio based on operational experience based on the processing conditions of the rolled base material.

(Problem to be Solved by the Invention) However, in such conventional devices, the distribution ratio of the elements serving as the optimization standard is adjusted based on the operator's experience, and each operator has a different sense of adjustment. Therefore, highly accurate adjustment is not possible. For this reason, there was a problem that variations in rolling quality occurred, resulting in a decrease in the value of the product.

This invention was made to solve these conventional problems, and its purpose is to provide a rolling mill control device that can perform optimal control over all processing conditions of the rolling base material. It is about providing.

[Structure of the Invention] (Means for Solving the Problem) In order to achieve the above object, the present invention calculates the control amount to be supplied to each control section of the rolling mill based on an optimization criterion,
In the rolling mill control device that controls the rolling mill, an optimization criterion selection 11 means for selecting a unique one from among the plurality of optimization criteria according to processing conditions of the rolling base material, such as alloy poles and rolling dimensions. and an allocation ratio storage means for storing the allocation ratio of the control amount to each control unit for each of the optimization criteria, and the allocation ratio storage means for storing the allocation ratio of the control amount corresponding to the selected optimization criterion. A control amount calculation means reads the distribution ratio from the means and substitutes this distribution ratio into a mathematical model to calculate the control amount to each control section, and based on the deviation between the actual rolling data and the setting data,
The present invention is characterized by comprising an automatic learning calculation means for correcting the mathematical model.

(Function) With the above configuration, depending on the processing conditions of the rolling base material,
Optimization criteria are selected. Further, from the distribution ratio of the control amount according to this optimization criterion, the control amount to be supplied to each control section is determined, and each control section such as the roll speed and roll gap of the rolling mill is adjusted thereby.

In addition, based on actual rolling data of rolled steel materials,
The calculation formula for the control amount is modified.

Therefore, highly accurate control is possible for all machining conditions.

(Example) FIG. 1 is a block diagram showing an embodiment of the present invention.

In the figure, an optimization criterion selection unit 1 selects optimization criterion flows 2 to 2 that best match the conditions when processing condition data such as alloy poles contained in the rolled base material and rolling dimensions are given. It is.

Optimization standard flows 2 to 2 are set for each element serving as an optimization standard, and in order to optimize this standard element, an allocation ratio storage unit that stores the allocation ratio of side 1IllIk to each control unit is used. 3 to 3, a control rIIJ amount calculation unit 4 to 4 which calculates the control amount to be supplied to each control unit by substituting this distribution ratio into a predetermined mathematical model, and a control amount calculation unit 4 to 4 which calculates the control amount to be supplied to each control unit based on the error between the actual rolling data and the setting data. automatic learning calculation units 5 to 5 that correct the mathematical model set in the tejii control calculation units 4 to 4;
It consists of The distribution ratio storage units 3 to 3 store horsepower distribution, plate thickness distribution, crown ratio product, rolling load distribution,
Controls given to each control unit when each standard element such as temperature distribution, rolling reduction distribution, rolling time distribution, etc. is optimized! The allocation ratio of the Il amount is stored using a divination table method or the like.

Next, the operation will be explained.

Optimization criterion selection section 1. When processing condition data is given to , a unique one is selected from among each optimization reference flow based on this data. For example, if processing condition data is given that the alloy electrode of the rolling base material has a high carbon content, the hardness of the base material will increase, so it is preferable to optimize the horsepower distribution between each rolling stand. Optimization reference flow 2 is selected.

The distribution ratio storage unit 3 of the selected optimization standard flow 2 stores the distribution ratio of the control amount to be applied to the control unit of each rolling stand in order to optimize the horsepower applied to each rolling stand. There is.

Then, the control amount calculation section 4 reads the distribution ratio of the control amount from the distribution ratio storage section 3, substitutes this distribution ratio into a predetermined mathematical model, and supplies it to the control section for controlling the roll gap, roll speed, etc. of each rolling stand. Find the control amount.

For example, as a mathematical model for determining the control weight X, the following (1)
The formula is set.

Xw'm f (at l az l ”'ra
ll.

X+ r X2 r...,X6)・R...(1
〉However, a, ~a,, are coefficients, X, ~xn are variables, and R
is the allocation ratio.

In the (+) formula, each variable X, ~X++ is a value detected by each detector attached to the rolling mill (roll speed, amount of cooling water, etc.), so once the distribution ratio R is determined, the control amount X is determined. do.

In this way, the determined control variables are supplied to each control section, and the roll speed, low gap, etc. are adjusted so that the steel produced by the rolling mill has the desired quality.

Further, when actual rolling data such as the dimensions and strength of the produced steel material is measured, this measured data is supplied to the automatic learning calculation unit 5 and compared with set data. Then, the coefficients a1 to a7 of equation (1) are corrected so that this deviation becomes zero.

As a result, the control amount will be calculated with higher precision for the next rolling.

In this way, in this example, optimization standard flow 2 to
2 is selected. Since the control amount supplied to each control section is calculated so that this reference element is optimized, highly accurate control can be performed under all processing conditions.

In addition, the automatic learning calculation section 5 modifies the mathematical model for calculating the control amount based on the actual rolling data, so that controllability is further improved.

This greatly improves the quality of the steel produced.

[Effects of the Invention] As explained above, in the present invention, an optimization criterion is selected according to the processing conditions of the rolled base material, and based on this, the control amount to be supplied to each control section is calculated. Therefore, control suitable for any processing conditions is possible.

Furthermore, since the mathematical model for calculating the control amount is modified based on actual rolling data, more accurate calculations are possible.

Therefore, conventional problems such as variations in quality are eliminated, and the rolling quality is significantly improved.

[Brief explanation of drawings]

FIG. 1 is a block diagram showing an embodiment of the present invention. 1...Optimization criterion selection section 2-2...Optimization standard flow 3-3...Allocation ratio storage section 4-4... Controlled amount calculation section 5-5...Automatic learning calculation section

Claims (1)

[Claims] A rolling mill control device that calculates control amounts supplied to each control section of a rolling mill based on optimization criteria and controls the rolling mill, optimization criterion selection means for selecting a unique one from among the plurality of optimization criteria according to processing conditions; and storing a distribution ratio of the control amount to each control unit for each of the optimization criteria. reading the allocation ratio of the control amount corresponding to the selected optimization criterion from the allocation ratio storage means and substituting this allocation ratio into a mathematical model to calculate the control amount to each control unit; A rolling mill control device comprising: a control amount calculation means; and an automatic learning calculation means for correcting the mathematical model based on a deviation between actual rolling data and setting data.