CN110479770B - Optimized control method for twenty-high rolling mill plate shape - Google Patents
Optimized control method for twenty-high rolling mill plate shape Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
- B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/05—Programmable logic controllers, e.g. simulating logic interconnections of signals according to ladder diagrams or function charts
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Abstract
The invention provides an optimized control method for a twenty-high rolling mill strip shape, which is characterized in that the composite wave shape degree is calculated according to detection feedback data of a strip shape detector in production, the composite wave shape degree values of an operation side and a transmission side are respectively calculated by combining an area coefficient, a compensation coefficient and a related algorithm and are used AS a judgment basis of a composite wave shape correction function control logic, the composite wave shape degree values are subjected to data processing such AS integration, amplitude limiting, differentiation and the like, output instructions of an AS-U roller and a middle shifting roller are respectively controlled according to special rules, the AS-U roller and the middle roller are adjusted to shift, and the aim of controlling the strip shape is further optimized.
Description
Technical Field
The invention belongs to the technical field of automatic plate shape control in cold-rolled strip steel production, and particularly relates to an optimal control method for a twenty-high rolling mill plate shape.
Background
The purpose of strip shape control is to roll out a flat strip, i.e. flatness control of the strip. The quality of the plate shape control performance directly influences the product quality and the production stability. The strip shape control is realized by detecting and feeding back the real-time strip shape of the strip steel by using a strip shape detector, carrying out logic judgment and calculation by using a PLC (programmable logic controller) program and controlling output to adjust the AS-U roller, a middle shifting roller and the roll gap level of the twenty-high rolling mill in the production process. Therefore, accurate PLC control output is particularly important to the stability of the plate control system. In terms of the accuracy of the PLC control output, the accuracy of the strip shape control of the twenty-high rolling mill is directly influenced by the model accuracy and the perfection of program control logic of the strip shape control method of the twenty-high rolling mill besides the control performance of the PLC, the response of an actuating mechanism, the accuracy of a detection element and the like.
The plate shape control of the existing twenty-high rolling mill adopts a neural network-fuzzy reasoning control method, which is shown in figure 1. The system establishes a knowledge base based on the experience of a skilled operator, wherein the knowledge base comprises a database and a self-learning device. The database is used to store the fact that the control process is dynamic; the function of the self-learning means is to supplement or modify the content of the knowledge base based on the information acquired online. The neural network processes the plate shape information acquired by the plate shape detector and extracts the plate shape characteristic information to complete plate shape identification; the fuzzy inference is to determine the control quantity of the corresponding actuating mechanism according to the plate information and the database content identified by the neural network and the fuzzy inference rule.
The plate shape control is influenced by a large number of nonlinear factors, such AS material defects, original convexity of a roller, rolling speed, temperature distribution and the like, the dynamic characteristics of the rolling process are very complex, the existing control method can better control single edge waves and middle waves, but the control effect on composite waves such AS inner edge waves and 1/8 waves is not good, operators are required to frequently and manually operate to horizontally intervene an AS-U roller, a middle shifting roller and a roller gap, the adjustment difficulty in the high-speed rolling process is very large, the accurate control requirement of the plate shape cannot be met, the plate shape quality and the production stability of a strip steel product are seriously influenced, and therefore the existing plate shape control method needs to be optimized.
Disclosure of Invention
The technical problem to be solved by the invention is to provide an optimized control method for the shape of the twenty-high rolling mill, add a control program of a composite wave shape correction function, calculate a numerical value of the composite wave shape degree and formulate a control logic of the composite wave shape correction function.
The technical scheme adopted by the invention for solving the technical problems is as follows: an optimized control method for the shape of a twenty-high rolling mill is characterized in that an optimized control system comprises a shape measuring instrument and an industrial control computer, wherein the shape measuring instrument generates an electric signal under the action of strip steel tension and transmits the electric signal to the industrial control computer, and the method comprises the following steps:
s1) collecting plate-shaped tensile stress data of the strip steel at the outlet of the rolling mill;
s2) dividing the collected data into 7 regions, namely, dividing the data into plate-shaped tensile stress data delta sigma of 7 regionsi；
S3) determining the area coefficient delta according to the width of the strip steeli；
S4) according to the area coefficient and the area plate shape tension data, processing the data to obtain 7 area plate shape data epsiloni；
S5) adding a weight value to the 7-area plate shape data, namely compensation coefficients g1, g2, g3 and g4, and respectively calculating the composite wave shape degree values of the working side and the transmission side, namely delta epsilon, according to the compensation coefficients g1, g2, g3, g4 and the 7-area plate shape data1、Δε2；
S6) determining Δ ε1、Δε2If the value is in the dead zone | ∈Characteristic pointIf the range is in the range I, the composite wave shape control and adjustment are not carried out;
s7) determining Δ ε1、Δε2If the value is not in the dead zone | ∈Characteristic pointIf the range is in the range I, performing operation analysis processing on the data;
S8)Δε1、Δε2and after numerical value processing, according to the control rule of the AS-U roller and an intermediate roller, amplitude limiting is carried out again, and the movement regulating quantity of the AS-U roller and the intermediate roller is obtained through calculation.
According to the scheme, the 7 regions in the step S2) are specifically: the working side edge part is in a plate shape, and the distance from the working side edge part to the width of the strip steel plate is 1/20%; the inner edge part of the working side is in a plate shape, and the distance from the inner edge part of the working side to the width 1/16 of the strip steel plate at the working side; the working side 1/8 is plate-shaped, and the distance from the working side to the width of the strip steel plate is 1/8; the middle plate of the steel strip is shaped, and the width of the steel strip is 1/2; the transmission side 1/8 is in a plate shape, and the distance from the transmission side to the width of the strip steel plate is 1/8; the inner edge part of the transmission side is in a plate shape, and the distance from the transmission side to the width of the strip steel plate is 1/16; the plate shape of the transmission side edge part is 1/20 distance from the width of the strip steel plate of the transmission side edge part.
According to the scheme, the plate shape data epsilon in the step S4)iIs based on the strip tensile stress data Delta sigmaiElastic modulus E and area coefficient delta of strip steeliAnd calculating to obtain the following formula:
according to the scheme, the composite wave degree in the step S5) is calculated as follows:
working side composite wave form degree delta epsilon1＝(g1ε1+g2ε3)-(g3ε2+g4ε4)；
Composite wave form degree delta epsilon of transmission side2＝(g1ε7+g2ε5)-(g3ε6+g4ε4)。
In the above scheme, the dead zone | ε in step S6) and step S7)Characteristic pointThe range I is the threshold value of the control and regulation of the composite wave shape function, the threshold value is 3.5I-unit, if the numerical value | Delta epsilon 1 & lt & gt is calculated when the composite wave shape on the working side<3.5I-unit, or composite wave form calculation value | Delta epsilon 2<3.5I-unit; namely, the calculated value of the composite wave shape is in the dead zone range of the characteristic points; if the composite wave shape at the working side calculates the value | Δ ε 1->3.5I-unit, or composite wave form calculation value | Delta epsilon 2>3.5I-unit; namely, the calculated value of the composite wave shape is not in the dead zone range of the characteristic point.
According to the scheme, the AS-U roller and an intermediate roller in the step S8) have the following control rules:
when Δ ε1When the composite wave shape is positive, the composite wave shape on the working side is slightly loose, the AS-U roller moves upwards for adjustment, and the middle roller moves towards the transmission side for adjustment;
when Δ ε1When the value is negative, the composite wave shape of the working side is slightly tight, the AS-U roller moves downwards for adjustment, and a middle roller moves towards the working side for adjustment;
when Δ ε2When the value is positive, the composite wave shape on the transmission side is slightly loose, and the AS-U roller moves upwardsMotion adjustment, namely adjusting the motion of an intermediate roll to the working side;
when Δ ε2When the value is negative, the composite wave shape of the transmission side is slightly tight, the AS-U roller moves downwards for adjustment, and the middle roller moves towards the transmission side for adjustment.
The invention has the beneficial effects that: the invention provides an optimized control method for a twenty-high rolling mill plate shape, which can reduce 1/8 waves and the problem of composite wave shapes such as an inner edge over-tightening plate and the like by adding a composite wave shape correction function, effectively improves the precision of the plate shape control, reduces the frequency of manual intervention of operators in the plate shape control by adding the composite wave shape correction function, reduces the operation difficulty and labor intensity of the operators, improves the quality of strip steel products by adding the composite wave shape correction function, ensures the production stability, and improves the productivity and economic benefit.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of the present invention.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
As shown in FIG. 1, the optimized control method for the shape of the twenty-high rolling mill is based on an R700 control system of the Mitsubishi-Hitachi rolling mill. The whole rolling mill plate shape control optimization system mainly relates to an ABB plate shape measuring system, a Hitachi industrial control computer, a Hitachi automatic plate shape neural network-fuzzy control system, a composite wave shape correction function program, an HMI (human machine interface) and operation keys.
The plate shape measuring system mainly comprises an ABB plate shape measuring instrument, a plate shape measuring computer and plate shape measuring software. And calculating and processing the measurement data of the plate shape measuring instrument and transmitting the processed data to a Hitachi industrial control computer. These plate measurements and data processing are well established techniques available from ABB. The ABB plate shape measuring instrument is a contact type measuring instrument in the form of a multi-section measuring roller and is formed by connecting 14 measuring circular rings with the width of 52mm and 24 measuring circular rings with the width of 26mm, 4 pressure sensors are arranged in each circular ring, and an electric signal is generated under the action of strip steel tension and transmitted to a plate shape measuring system.
Hitachi automatic plate shape neural network-fuzzy control system adopts the control technology of Hitachi corporation of Japan. Which controls the topology (see figure 1). The control system runs in a Hitachi industrial control computer, receives ABB strip shape measurement system data, obtains automatic control quantity of the adjusting equipment by using a control model, and sends instructions to a PLC (programmable logic controller) to execute strip shape adjusting actions.
The Hitachi industrial control computer adopts a Hitachi R700 control system (sigma net-100 self-healing industrial Ethernet ring network is adopted for data exchange), and the method adds a composite wave shape correction function control program function on the Hitachi industrial control computer, performs compensation optimization on wave shape control on an original Hitachi automatic plate shape neural network-fuzzy control program, and further improves the plate shape control precision.
The HMI human machine interface is a human machine interface for production operators and industrial control computers. The operator needs to switch the AS-U roller and an intermediate shifting roller in the selection of the plate shape control mode to an 'automatic' mode. The operation keys are all manual adjusting keys of the AS-U roller and a middle shifting roller, and an operator can also manually finely adjust the plate shape in an automatic plate shape control mode.
A twenty-high rolling mill plate shape composite wave shape optimization control method comprises the following steps:
a, collecting plate-shaped tensile stress data of strip steel at an outlet of a rolling mill;
b, dividing the collected data into 7 regions (see figure 2), wherein the plate-shaped tensile stress data of each region is delta sigmai；
C, determining a zone coefficient delta according to the width of the strip steeli；
D, according to the regional coefficient and the regional plate-shaped tensile stress data, carrying out data calculation processing to obtain the working side edge plate-shaped epsilon 1, the working side inner edge plate-shaped epsilon 2, the working side 1/8 plate-shaped epsilon 3, the strip steel central plate-shaped epsilon 4, the transmission side 1/8 plate-shaped epsilon 5, and the epsilon 0 transmission side inner edgeEdge plate shape epsilon 6 and transmission side edge plate shape epsilon 7, and plate shape data epsilon of 7 areasi；
E, according to the compensation coefficient g1、g2、g3、g4And 7 area shape data, respectively calculating the composite wave degree value of the working side and the transmission side, namely delta epsilon1、Δε2；
F, determining Δ ε1、Δε2If the value is in the dead zone | epsilon of the feature pointCharacteristic pointWithin the range of | the composite wave shape is not controlled and adjusted;
g, determining Δ ε1、Δε2If the numerical value is not in the dead zone | epsilon of the characteristic pointCharacteristic pointIf the absolute value is within the range, carrying out operation analysis processing on the data;
H，Δε1、Δε2after the numerical value is processed, according to the special control rule of the AS-U roller and an intermediate roller, amplitude limiting is carried out again, and the movement regulating quantity of the AS-U roller and the intermediate roller is obtained through calculation;
in step A, the plate shape tensile stress data is the plate shape electrical signal data delta sigma of each channel processed by the plate shape measuring system and detected by the ABB plate shape measuring instrumenti；
In the step B, the tensile stress data of the strip steel in 7 areas are symmetrically segmented in proportion by the center of the strip steel in the width direction; the strip gauge data for each zone is as follows:
tensile stress delta sigma of working side edge1I.e. 1/20 away from the width of the working side strip steel plate;
tensile stress delta sigma of working side inner edge2I.e. 1/16 away from the width of the working side strip steel plate;
tensile stress delta sigma at the working side 1/83I.e. 1/8 away from the width of the working side strip steel plate;
strip steel central tensile stress delta sigma4I.e. the width of the strip steel plate 1/2;
tensile stress delta sigma at the drive side 1/85I.e. 1/8 distance from the width of the strip steel plate at the transmission side;
tensile stress delta sigma of inner edge of transmission side6I.e. 1/16 distance from the width of the strip steel plate at the transmission side;
transmission side edge stretchingForce Δ σ7I.e. 1/20 distance from the width of the strip steel plate at the transmission side;
in step C, the area coefficient δiJudging the actual setting of the strip steel plate width through a PLC program to select and determine;
in step D, the strip shape data εiIs based on the strip tensile stress data Delta sigmaiElastic modulus E and area coefficient delta of strip steeliAnd calculating to obtain the following formula:
in the step E, the compensation coefficient is a weight value added to the shape data of the 7 areas, so that the working side and the composite wave shape of the working side can be accurately calculated, and debugging and optimization can be performed. The composite wave shape calculation method is as follows:
the working side is in a composite wave shape: delta epsilon1＝(g1ε1+g2ε3)-(g3ε2+g4ε4)，
Compound wave shape of transmission side: delta epsilon2＝(g1ε7+g2ε5)-(g3ε6+g4ε4)。
The area coefficient and the compensation coefficient can be modified and debugged by modifying the PLC program parameter file and then executing a parameter downloading command.
In step F, the dead zone | ε of the feature pointCharacteristic pointThe range I is the threshold value of the control and regulation of the composite wave function, the threshold value is 3.5I-unit, the I-unit represents the unit of the flatness index, and when the composite wave calculation value I delta epsilon 1 on the working side is zero<3.5I-unit, or composite wave form calculation value | Delta epsilon 2<3.5I-unit, namely the calculated value of the composite wave shape is in the dead zone range of the characteristic point, which indicates that the plate shape is good, and no obvious composite wave shape exists, the plate shape control actuating mechanism is not adjusted;
in step G, the composite wave shape calculation value exceeds the characteristic point dead zone | epsilonCharacteristic pointRange, when the working side compound wave shape calculates the value of 3.5I-unit<The calculated value of | delta epsilon 1|, or the composite wave shape of the transmission side is 3.5I-unit<If the absolute value is not in the dead zone range of the characteristic point, carrying out data analysis processing by using algorithms such as integration, amplitude limiting, differentiation and the like to provide basic data for the adjustment of the plate shape control actuating mechanism;
in the step H, the special control rule is a control strategy of an execution mechanism AS-U roller and an intermediate roller, and the control strategy specifically comprises the following steps:
| composite wave form degree calculation | AS-U roller action rules | A middle roller action rule | Remarks for note |
| Δε1Is a positive value | Move upwards | To the transmission side | Working side composite wave shape inclined loose |
| Δε1Is a negative value | Move downwards | To the working side | Composite wave shape of working side is tight |
| Δε2Is a positive value | Move upwards | To the working side | Composite wave shape inclined loose of transmission side |
| Δε2Is a negative value | Move downwards | To the transmission side | Composite wave-shaped eccentric tightening of transmission side |
According to the composite wave degree value delta epsilon1，Δε2After data processing, control strategy selection and calculation are carried out, the AS-U rollers move upwards or downwards, and the upper and the lower middle rollers move towards the working side or the transmission side and adjust the quantity.
AS shown in fig. 3, the control logic diagram of the composite wave shape correction function calculates the wave shape degree through the area actual plate shape data, when the composite wave shape calculation value is within the characteristic point dead zone range, the control adjustment is not performed, when the composite wave shape calculation value exceeds the characteristic point dead zone range value, the data processing such AS integration, amplitude limiting, differentiation and the like is performed, and according to the special control rule of the wave shape correction function, the AS-U roller and a middle shifting roller control output instruction are obtained to adjust and optimize the plate shape.
As shown in fig. 4, a flowchart of a plate shape control program is a control program input concept of the twenty-high rolling mill plate shape optimization control method of the present invention. The optimized shape control method is characterized in that a composite wave shape correction function is added on the basis of the original neural network-fuzzy reasoning control, and the composite wave shape correction function and the neural network-fuzzy control simultaneously participate in the control and regulation of the shape, are independent from each other and do not influence each other. When the wave shape correction function is not applied, only the neural network-fuzzy reasoning control is acted, and the AS-U roller, a middle shifting roller and the roller gap level are controlled and adjusted; when the wave shape correction function is put into use, the two controls simultaneously act, the composite wave shape correction function reduces 1/8 waves and the problem of over-tight inner edge parts and the like of the plate shape by controlling and adjusting the AS-U roller and a middle shifting roller, and the control precision of the plate shape is further improved.
As shown in fig. 5, a flow chart of a composite wave shape correcting function program is a main control program idea of the twenty-high rolling mill strip shape optimizing control method of the present invention. The strip shape measuring instrument collects strip shape tensile stress data of strip steel at the outlet of the rolling mill, divides the strip steel into regions and obtains region strip shape data according to region coefficients; calculating a composite wave shape degree value according to the compensation coefficient and the region plate shape data; if the numerical value is judged to be in the dead zone range of the characteristic point, no control adjustment is carried out, if the numerical value is judged not to be in the dead zone range of the characteristic point, data processing is carried out on the numerical value, and the movement adjustment quantity of the AS-U roller and an intermediate roller is obtained through calculation according to a special control rule; and finally, the PLC converts the regulating quantity into a control output signal and sends the control output signal to the actuating mechanism for plate shape control.
Claims (6)
1. An optimized control method for the shape of a twenty-high rolling mill is characterized in that an optimized control system comprises a shape measuring instrument and an industrial control computer, wherein the shape measuring instrument generates an electric signal under the action of strip steel tension and transmits the electric signal to the industrial control computer, and the method comprises the following steps:
s1) collecting plate-shaped tensile stress data of the strip steel at the outlet of the rolling mill;
s2) dividing the collected data into 7 regions, namely, dividing the data into plate-shaped tensile stress data delta sigma of 7 regionsi；
S3) determining the area coefficient delta according to the width of the strip steeli；
S4) according to the area coefficient and the area plate shape tension data, processing the data to obtain 7 area plate shape data epsiloni；
S5) adding a weight value to the plate shape data of 7 areas, namely compensation coefficients g1, g2, g3 and g4, and respectively calculating the composite wave shape degree values of the working side and the transmission side, namely delta epsilon, according to the plate shape data of the compensation coefficients g1, g2, g3, g4 and 7 areas1、Δε2；
S6) determining Δ ε1、Δε2If the value is in the dead zone | ∈Characteristic pointIf the range is in the range I, the composite wave shape control and adjustment are not carried out;
s7) determining Δ ε1、Δε2If the value is not in the dead zone | ∈Characteristic pointIf the range is in the range I, performing operation analysis processing on the data;
S8)Δε1、Δε2after the numerical value is processed, according to the control rule of the AS-U roller and an intermediate roller, amplitude limiting is carried out again, and the movement regulating quantity of the AS-U roller and the intermediate roller is obtained through calculation。
2. The twenty-high rolling mill plate shape optimization control method according to claim 1, wherein the 7 areas in the step S2) are specifically: the working side edge part is in a plate shape, and the distance from the working side edge part to the width of the strip steel plate is 1/20%; the inner edge part of the working side is in a plate shape, and the distance from the inner edge part of the working side to the width 1/16 of the strip steel plate at the working side; the working side 1/8 is plate-shaped, and the distance from the working side to the width of the strip steel plate is 1/8; the middle plate of the steel strip is shaped, and the width of the steel strip is 1/2; the transmission side 1/8 is in a plate shape, and the distance from the transmission side to the width of the strip steel plate is 1/8; the inner edge part of the transmission side is in a plate shape, and the distance from the transmission side to the width of the strip steel plate is 1/16; the plate shape of the transmission side edge part is 1/20 distance from the width of the strip steel plate of the transmission side edge part.
3. The twenty-high rolling mill strip shape optimization control method according to claim 2, wherein the strip shape data epsilon in step S4)iIs based on the strip tensile stress data Delta sigmaiElastic modulus E and area coefficient delta of strip steeliAnd calculating to obtain the following formula:
4. the twenty-high rolling mill strip shape optimization control method according to claim 3, wherein the composite wave shape degree in the step S5) is calculated as follows:
working side composite wave form degree delta epsilon1＝(g1ε1+g2ε3)-(g3ε2+g4ε4)；
Composite wave form degree delta epsilon of transmission side2＝(g1ε7+g2ε5)-(g3ε6+g4ε4)。
5. The twenty-high rolling mill strip shape optimization control method according to claim 4, wherein the dead zone | ε in step S6) and step S7)Characteristic pointThe I range is a threshold value of the control and adjustment of the composite wave-shaped function, the threshold value is 3.5I-unit, and when the numerical value of the composite wave-shaped calculation of the working side is calculatedΔε1|<3.5I-unit, or composite wave form calculation value | Delta epsilon 2<3.5I-unit, namely the composite wave shape calculation value is in the dead zone range of the characteristic point; when the working side composite wave shape calculates the value | Delta epsilon 1->3.5I-unit, or composite wave form calculation value | Delta epsilon 2>3.5I-unit, namely the calculated value of the composite wave shape is not in the dead zone range of the characteristic point.
6. The method for optimally controlling the strip shape of the twenty-high rolling mill according to claim 4, wherein the AS-U roll and an intermediate roll in the step S8) are controlled according to the following rules:
(1) when the delta epsilon 1 is a positive value, the composite wave shape on the working side is slightly loose, the AS-U roller moves upwards, and the middle roller moves towards the transmission side;
(2) when the delta epsilon 1 is a negative value, the composite wave shape at the working side is slightly tight, the AS-U roller moves downwards, and a middle roller moves towards the working side;
(3) when the delta epsilon 2 is a positive value, the composite wave shape at the transmission side is slightly loose, the AS-U roller moves upwards, and a middle roller moves towards the working side;
(4) when the delta epsilon 2 is a negative value, the composite wave shape at the transmission side is slightly tight, the AS-U roller moves downwards, and the middle roller moves towards the transmission side.
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| CN110000223B (en) * | 2019-03-26 | 2020-09-29 | 燕山大学 | Measuring error correction method suitable for offline shape of cold-rolled sheet |
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2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| EP4104944A1 (en) * | 2021-06-17 | 2022-12-21 | Primetals Technologies Germany GmbH | Method for the production of a rolled product with a box section |
| WO2022263266A1 (en) * | 2021-06-17 | 2022-12-22 | Primetals Technologies Germany Gmbh | Method for producing a rolled product with a box profile |
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