FLATNESS CONTROL IN THE ROLLING OF STRIP

Abstract: The invention relates to an optimization of the control actions "c" via control members for the work rolls during flatness control of strip and comprises a method for evaluation of the control actions and an evaluation device which constitutes an integral part of the control equipment. The control actions are obtained by solution of the relationship c = (ATA)-1.AT . f = B . f, wherein A is a matrix which describes the stress distribution which arises across the strip when the different control members are activated and wherein "f" is a vector which contains the flatness errors obtained after measurement.

Description: Flatness control in the rolling of strip TECHNICAL FIELD The flatness of a rolled product is determined, inter alia, by the work rolls of the rolling mill, and the flatness can thereby be influenced by the setting of the different con¬ trol members of the rolls which may comprise screws, bending cylinders, shifting devices, etc. The present invention relates to a method and a device for evaluation of the input signals to the control devices of the control members which are needed to influence the flatness such that the desired accuracy with regard to flatness is attained. BACKGROUND ART, THE PROBLEMS The control members which are included in a rolling mill influence the flatness of the strip in different ways. The screws of the rolling mill are used for setting the roll gap across the strip or for adjustment or intentional angular adjustment of the roll gap. Normally bending cylinders are provided, both for bending of the work rolls and for bending of intermediate rolls in a 6-high rolling mill. Normally, also so-called shifting devices are included for axial shifting of the rolls. A condition for achieving the desired flatness of the rolled product is to have a more or less continuous access to a measure of actual flatness across the strip, that is, a flatness curve. With a known flatness curve, the rolling mill can be provided with a closed-loop flatness control. In a classical manner, the flatness curve obtained is compared with the desired flatness. The flatness errors which thereby arise are then used, in accordance with different models, for influencing the control members to minimize the flatness errors. Thus, the flatness control comprises several execu¬ ting devices, which means a relatively extensive evaluation process to decide on the magnitude of the various actions by. the control members which provide the best result. A very suitable measurement device - which is often used in these applications - for determining the flatness curve of the rolled strip is the "STRESSOMETER" , developed by Asea Brown Boveri AB, which has been available on the market since the middle of the 60 's and which has been described in a large number of pamphlets and other publications. The measurement device is designed as a measuring roll, with approximately 50 measuring points across the strip, which in most cases can be placed between the mill stand and the wind-up reel without the use of deflector rolls. The measurement takes place with the aid of force transducers, based on the magnetoelastic principle, and primarily provides the stress distribution of the strip along the measuring roll. If the stress is greater than the buckling stress for the material, the sheet buckles when the strip is left free with no influence by any tensile force. The stress distribution is a flatness curve for the strip across the rolling direction. A more detailed description of the measurement principle is given, inter alia, in an article in IRON AND STEEL ENGINEER, April 1991, pp. 34-37, "Modern approach to flatness measurement and control in cold mill" by A.G. Carlstedt and 0. Keijser. The article discloses that, because of the relatively extensive signal processing which is required to obtain the flatness curve, this will be updated at intervals of about 50 ms. When rolling strip, it is important to check and to have the correct roll gap since small variations along the work rolls give a varying reduction of the thickness across the strip, which in turn leads to an inferior flatness curve. The task of the flatness control is thus to maintain an existing curve constant during the whole rolling operation. As is clear, among other things from the above-mentioned article in IRON AND STEEL ENGINEER, a technique is often used which comprises modifying, with the aid of the bending cylinders, the shape of the work rolls to influence the flatness of the strip. As will have been clear, however, there are several other control possibilities which can be used to influence the flatness curve. A concept for flatness control, in which several control members can be activated, is also described in the article mentioned. The concept includes a model comprising an evaluation strategy for which control members are to be activated as well as processing of collected measured data to obtain, by means of the least squares method, control signals to the control devices and the regulators for the different control members. In the example shown, the flatness control comprises skewing, axial shifting, and bending of the work rolls but in the general case it may comprise additional control possibilities. In principle, the least squares method entails a possibi¬ lity, each time the flatness error is updated, that is, after each comparison between the actual flatness curve and the desired flatness curve, of obtaining the combination and extent of actions by the control devices which are needed for the flatness error to be as small as possible. However, this method presupposes that the stress distribution, which arises across the strip when the different control members are activated, is known. The stress distribution can either be calculated or measured with the aid of the measuring roll. Assuming, as in the example shown, that there are three control members, for example skewing with a stress distribution φ≤, bending with a stress distribution <p-_ , and axial shifting with a stress distribution (pp, it is possible, using the least squares method, to indicate for each updated flatness error the actions by the different control members determined by where cς, CB and cp are the input signals to the control devices and regulators of the control members, which signals are converted into roll gaps. It is obvious that these cal¬ culations require very large computer capacity. The approximation problem in general form comprises finding, with the aid of a number of measured data f(xi) with i = 1, 2, .... m, a simple function f* by means of the least squares method which approximates f (xj . ) as good as possible. The further description of the least squares method is based on the designations used in Larobok i Numeriska Metoder ("Textbook of Numerical Methods") by P Pohl, G Eriksson and G Dahlquist, published by Liber tryck, Stockholm. It is assumed here that the simple function f* is to be a linear combination of pre-selected functions (pi, ... φ n according to and the task of the least squares method is then to deter¬ mine ci, C 2 ... c n such that the sum of the squares of the deviations between f(xι) and f* is minimized. The matrix formulation of the least squares method means that the following matrices are formed with A = m • n where m = the number of measuring points = the number of lines in A and n = the number of basic functions φi, φ n = the number of columns in A, where fi, f2, -m are the measured data obtained. According to the least squares method, the following relationship applies between the matrices for determining ci, ... c n : ATA = AT 13) where A τ is the transposed matrix A. Without going further into the details of the method, the determination according to the prior art entails a time-consuming arrangement of the quadratic matrix A T A for each flatness curve. From the point of view of feedback control, it is now desired to set up the functions (pi which correspond to the mechanical actuator actions, for example the bending action which gives a flatness response of the form ( B and then determine the corresponding CB together with the corresponding functions for the other control members. From the computational point of view, this entails a con¬ siderable problem. With a calculation time of 0.15 ms per multiplication, the calculation time of the matrix for 3 control members and 50 measured values for each flatness curve will be about 160 ms, which means that it is not possible to evaluate each flatness curve. There are different ways of solving this problem, which, however, entail reduced accuracy in the flatness control. One method of solution is disclosed by EP 0 063 606, "System for controlling the shape of a strip". Here, orthogonal functions are used where the quadratic matrix only contains a diagonal line with terms different from zero. The demands imposed by the control for functions which correspond to the actions are then abandoned and other functions are relied upon, and some interlinking is performed afterwards. The greatest disadvantage of this method is the restriction to polynomials and sine functions and that a higher order has to be proceeded to to approximate the flatness error in a satisfactory way. Another method is disclosed in GB 2 017 974 A "Automatic control of rolling". In this case, the solution principle is to restrict the evaluation to a straight line and a para¬ bola, that is, as "a curve of the form aχ2 + c", as is clear, for example, from page 3, column 1, line 7 thereof. SUMMARY OF THE INVENTION The invention relates to an optimization of the control actions via control members for the work rolls during flatness control of strip and comprises a method for evalu¬ ation of the control actions as well as an evaluation device which constitutes an integral part of the control equipment. The starting point of a method according to the invention is the relationship ATA - c = AT • f (3) according to the above. The invention and the evaluation mean that the vector c is solved explicitly as c = (ATAJ-LAT • f = B • f (4) In the general case, all the functions φi,Φ2 φn in the A-matrix are selected or determined in advance. Thereby the transposed matrix A τ , the matrix A T A, the inverted matrix (A T A) _1 and the matrix B = (A T A) -1 -A T can be determined. With access to measured data fi, f2 ••• firw t is therefore a relatively simple matrix multiplication to evaluate ci, that is, obtain current values of ci, C2 ... Cn- The above-mentioned functions φs, ΦB and ( F / corresponding to the actions skewing, bending and shifting, for the case involving three control members, can be determined in advance. These functions are not changed during rolling of a strip with a given width. Since the matrix A only contains these φ-functions, the A-matrix, and hence according to the above the B-matrix, can be determined before the rolling starts. The B-matrix consists of a matrix with the same number of vectors as the control members. During the rolling operation, an evaluation of the ci-values for each φi-function now takes place with the aid of the least squares method. The ci-values are obtained by multi¬ plication of B = (A T A) ~ 1-The A τ -matrix with the f-matrix, that is, with the values of the flatness errors obtained, and represent the input signals to the control devices and regulators of the control members, which input signals are converted into roll gaps. In this way, the ci-values consti¬ tute a measure of the control error for the respective con- trol member. This method means that the need of computer capacity is considerably reduced while at the same time the control errors can easily be calculated between each flat¬ ness curve obtained. In addition to a comparator for comparison between the desi¬ red and the measured flatness and a control device and a regulator for the executing devices included in the form of control members, as in a conventional control, a plant for flatness control of strip comprises an evaluation device according to the invention. The evaluation device suitably consists of a computer which is preprogrammed with the equations described and which has the difference between actual and desired flatness as well as. the known stress distributions as input signals. The output signals of the evaluation device consist of the control errors or the input signals to the different control devices and regulators. DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a device according to the invention con¬ stitutes an integral part of flatness control of strip as is clear from the accompanying figure. The control members for the flatness control in the example shown are skewing, ben¬ ding and shifting. The end product of the rolling process is a rolled strip whose flatness is determined in a suitable way, for example by means of a STRESSOMETER 1. The flatness obtained is compared in a summator or comparator 2 with the desired flatness reference. The flatness errors obtained, fl, f2, .... fn> are supplied to an evaluation device 3 to determine, in accordance with the equations described, the control errors cs, Cβ and c ~~ , that is, the control actions for skewing, bending, and shifting. Before the rolling starts, the evaluation device has been supplied with information about the stress distribution for skewing, that is, φs, with a normalized characteristic as a function of the width b of the strip according to 4 and the corresponding stress distributions for bending φβ and shifting (pp according to 5 and 6. The stress distributions for the rolling mill in question, that is, for the control members included, can for different band widths b, materials, etc., either be calculated or obtained by direct measurement, as described above. This means that the matrix A in question will have the form and that the matrix B = (A T A) _ 1-A T can be determined before the rolling starts. According to the summary of the inven¬ tion, the B-matrix consists of as many vectors as there are control devices, that is, in this case of three vectors. If these are identified as ψs-vector for skewing, ψβ-vector for bending and ψp-vector for shifting, the B-matrix for an embodiment according to the accompanying figure will be whereby The control error or the input signal cs for skewing is now determined in the usual manner as s = ΨS1- fl + ΨS2 • 2 + + ΨSπr fm The corresponding input signal for bending will be B = ΨB1- fl + ΨB2 • f2 + + ΨBm- fm and the input signal for shifting will be CF = ψFl- fl + ΨF2 • f2 + + ψpm- m The control error cs is supplied to a control device and regulator 7 for skewing for setting the rolls via the screv; control actuator 8. The control error cβ is supplied to a control device and regulator 9 for bending of the rolls via the bending control actuator 10. The control error CF is supplied to a control device and regulator 11 for shifting the rolls via the shifting member 12. The control members then influence the rolling process 13 such that the desired flatness curve is obtained and maintained. The setting times for the skewing, bending and shifting settings are different, depending on the control members used. A typical setting time for screw setting is, for example, 50 ms, and the corresponding times for skewing and shifting are about 100 ms. This means that no evaluation of the c-values for the slow members is needed for each new measured value. Because of the provision of the B-matrix according to the invention, therefore, the need of computer capacity can be further reduced since only the matrix mul- tiplication for the current ψ-vector with the f-vector can be produced separately and where necessary.

Claims: CLAIMS 1. A method for evaluation of the input signals c = ci, C2 ... c n , converted into roll gap, to control devices and regulators (7, 9, 11) for control members (8, 10, 12) for work rolls which cooperate during flatness control of strip in a rolling mill and wherein the stress distributions (pi, Φ2... φn» which arise across the strip when the respective control members are activated, are known, and wherein data f(xi) = fl, f2 -•• m which indicate the flatness errors across the strip are known, which method is characterized in that the following function is assumed from which the input signals are to be determined such that the squares of the deviations between f (xi) and f* are mini¬ mized, which is achieved by the formation of the following matrices with A = m n where m = the number of measuring points = the number of lines in A and n = the number of base functions φi, Φn = the number of columns in A, and and that the input signals are determined according to = (A T A)-LA T - f = B • f !4) where A τ is the transposed A-matrix and that the matrix B = (ATA)-I-AT is determined before the rolling is started. 2. A method for evaluation of the input signals c, converted into roll gap, to control devices and regulators (7, 9, 11) for control members (8, 10, 12) for work rolls which coope¬ rate during flatness control of strip in a rolling mill according to claim 1, which method is characterized in that only those c-input signals are determined which, depen¬ ding on the setting time of the current control member, need to be updated for each measurement. 3. A method for evaluation of the input signals c, converted into roll gap, to control devices and regulators (7, 9, 11) for control members (8, 10, 12) for work rolls which coope¬ rate during flatness control of strip in a rolling mill according to claim 1 and wherein the control members which take part comprise members for skewing with a known stress distribution φs, members for bending with a known stress distribution φβ, and members for shifting with a known stress distribution φp and wherein data f(xi) = fl, f2 ••• fm which indicate the flatness errors across the strip are known, which method is characterized in that the following function is assumed f*l = cs-φs + CB-ΦB + CF-CPF (1) where cs» Cβ CF are the input signals of the respective control devices, which input signals are to be determined such that the quadrants of the deviations between f(xi) and f* are minimized, which is achieved by the formation of the following matrices and as well as B = (ATA)-LAT and wherein the B-matrix can be expressed as a ψs-vector for skewing, a ψβ-vector for bending, and a ψp-vector for shif¬ ting according to and that the input signals are determined as whereby the input signal cs for skewing is determined as cs = ΨS1- f l + ΨS2 • f2 + ψSm-fm and that the input signal for bending is determined as CB = ΨB1 - f l + ΨB2 f2 + ψBm - f m and that the input signal for shifting is determined as CF = ψFl- fl + ΨF2 • f2 + + ψFm-f 4. A device for carrying out the method according to claim 1 for evaluation of the input signals c = ci, C2 ... c n con¬ verted into roll gap, to control devices and regulators (7, 9, 11) for control members (8, 10, 12) for work rolls which cooperate during the flatness control of strip in a rolling mill and wherein those stress distributions φχ # (p2... φn which arise across the strip upon an action by the respective control member are known and wherein data f(xi) = fi, f2 ••• fm which indicate the flatness errors across the strip are known, which device is characterized in that it has the stress distributions φi , Φ2... Φn and data for the flatness errors f(x ) = fi, f2 ... fm arranged as input signals and that it is adapted such that it can form the matrices with A = m - n where m = the number of measuring points = the number of lines in A and n = the number of base functions φi, ... φ n = the number of columns in A, B = (ATA ) - ! - AT and and that the device with its matrices is adapted to form the input signals = (ATAJ-LAT f = B (4) 5. A device according to claim 3 for evaluation of the input signals c, converted into roll gap, to control devices and regulators (7, 9, 11) for the control members (8, 10, 12) for work rolls which cooperate in the flatness control of strip in a rolling mill and wherein those control members which take part comprise members for skewing with a known stress distribution φs, members for bending with a known stress distribution φβ, and members for shifting with a known stress distribution φp and that data f (xj_) = fl, f2 ... fm which indicate the flatness errors across the strip are known, which device is characterized in that it has the stress distributions φs, (pβ andcpF and data for the flatness errors f(xi) = fl, f2 ••• fm arranged as input signals and that it is adapted to form the matrices fi f2 f = fm as well as B = (ATA)-I-AT and that the device with these matrices is adapted to form the input signals cs c = C Cββ = (ATA)-!.AT f = B CF

Inventors: KEIJSER OLOF, KEIJSER, OLOF
Applicants: ASEA BROWN BOVERI, KEIJSER OLOF, ASEA BROWN BOVERI AB
Application year: 1993
Main classification: B21B37
IPC codes: B21B37