JP4589850B2 - Rolling control device and rolling control method - Google Patents

Description

  The present invention relates to a rolling control device and a rolling control method for a rolling mill that performs rolling by controlling a plate shape and a temperature distribution in the vicinity of a work roll of a plate-shaped rolled material to be rolled.

  In a conventional rolling mill, the plate shape of the rolled material is measured using a shape detector installed on the exit side of the rolling mill, and the bending of the work roll is changed by a roll bender according to the measurement result, The plate shape of the rolled material is controlled by adjusting the gap difference (leveling) between the left and right rolls. At this time, the left and right symmetrical components of the plate shape are controlled by the roll bender, and the left and right asymmetric shape is corrected by leveling.

  In addition, a control for correcting a local elongation or a local shape defect of a rolled material to be rolled by injecting a coolant such as rolling oil (coolant) or water onto a work roll is also performed. That is, a plurality of injection nozzles for injecting coolant are arranged in the plate width direction of the rolled material along the work roll, and the coolant is injected from the injection nozzle toward the work roll. At this time, the injection of the coolant is ON / OFF controlled independently for each injection nozzle.

  By the ON / OFF control of the coolant injection, the portion of the work roll that has received the coolant injection is cooled and contracted, while the portion that has not received the coolant injection expands due to heat generated by rolling. Accordingly, the rolled material is stretched thinner at the portion where the work roll is expanded, and the elongation of the rolled material is suppressed at the portion where the work roll is contracted. In other words, the shape of the rolled material in the portion that has received the coolant injection is in the extending direction, and the shape of the rolled material in the portion that has not received the coolant injection is in the extending direction.

  In general, a rolling control apparatus that controls a plate shape sets a target shape in advance, and operates a work roll or an actuator of an injection nozzle so that the shape detected by the shape detector approaches the target shape. The ON / OFF of the injection nozzle can be set by various methods, but normally, the coolant is injected to the work roll portion that rolls the portion where the rolled material extends from the target shape to increase the elongation of the rolled material. On the contrary, the injection of coolant is stopped at the work roll portion that rolls the portion where the rolled material is not stretched (stretched), thereby suppressing the tension of the rolled material and promoting the elongation.

  Since the coolant is originally injected for lubrication and cooling of the rolling material and the work roll, in order to maintain stable lubrication and cooling during rolling, it is necessary to inject a predetermined amount or more of coolant. Therefore, in the conventional shape control method using the coolant, the ON / OFF pattern of the injection nozzle is set so that the injection nozzles of a certain ratio or more are turned ON with respect to the entire plate width. That is, the ratio (ON ratio) of the injection nozzles for injecting coolant over the entire plate width is set in advance, and the number of nozzles based on the ON ratio is turned ON.

  On the other hand, in rolling materials called electromagnetic steel plates such as grain-oriented silicon steel plates used for iron cores such as transformers and generators, the plate temperature and temperature distribution during rolling are reduced in order to improve magnetic properties such as iron loss. It is said that it is necessary to control. The coolant is also used for temperature control of the rolled material in this case. For example, Patent Document 1 discloses a technique for controlling a plate temperature during rolling by a flow rate of a coolant so as to control it at a constant temperature.

Further, in Patent Document 2, a coolant is injected onto a rolled material immediately before or immediately after being rolled by a work roll, and the temperature distribution in the plate width direction is uniformly controlled, whereby the rolled material is cooled. A technique for accurately controlling the plate shape is disclosed.
Japanese Patent Laid-Open No. 7-32006 JP 2005-66614 A

  As described above, in a conventional rolling mill, a technology for controlling a plate shape and a plate temperature using a coolant used for lubricating and cooling a rolled material and a work roll is disclosed. However, in these conventional techniques, the control of the plate shape and the control of the plate temperature are separated and controlled. For example, in patent document 1, although temperature control of a rolling material is performed, plate shape control is not mentioned. Further, in Patent Document 2, the temperature distribution in the sheet width direction of the rolled material is uniformly controlled, but the temperature control is for controlling the plate shape and improves the magnetic characteristics of the electromagnetic steel sheet and the like. It is not temperature control to make it. In addition, the control mechanism is complicated, for example, a spray nozzle for spraying coolant onto the work roll and a spray nozzle for spraying coolant onto the rolled material are provided separately.

  In rolling electrical steel sheets, the plate temperature of the rolled material during rolling and the temperature distribution in the plate width direction greatly affect the quality of the rolled material, in particular, the magnetic properties. Further, the plate shape of the rolled material is a factor that determines the product quality itself, and the defective shape also causes breakage and meandering, and greatly contributes to production stability. That is, in rolling electromagnetic steel sheets, there is a need for a rolling control device and a rolling control method that can ensure the quality of the magnetic properties of the rolled material and improve the quality of the shape.

  In view of the problems of the prior art as described above, the object of the present invention is to improve the quality of magnetic properties such as electrical steel sheets and the quality of the shape in the plate temperature and width direction of the rolled material during rolling. An object of the present invention is to provide a rolling control device and a rolling control method that can simultaneously control a temperature distribution and a plate shape of a rolled material.

  The present invention provides a work roll that rolls a rolled material, and cooling that is provided along the work roll in the plate width direction of the rolled material and injects a coolant (such as coolant) toward the work roll and the rolled material. A material injection means, a shape detection means provided in the vicinity of the work roll, for detecting a shape in the plate width direction of the rolled material, and a temperature distribution in the plate width direction of the rolled material provided in the vicinity of the work roll. A rolling control device for controlling a rolling mill provided with at least a temperature distribution detecting means for detecting the rolling and a rolling control method therefor, wherein the rolling control device is (1) a plate of the rolled material detected by the shape detecting means A shape deviation is obtained by calculating a shape in the width direction and a preset target shape in the sheet width direction of the rolled material, and (2) the rolled material detected by the temperature distribution detecting means. A temperature distribution deviation is calculated by calculating a temperature distribution in the sheet width direction and a preset target temperature distribution in the sheet width direction of the rolled material, and (3) calculating the obtained shape deviation and temperature distribution deviation. Then, a distribution in the plate width direction of the coolant injection degree representing the degree to which the coolant injection means should inject the coolant is obtained, and (4) the distribution in the plate width direction of the obtained coolant injection degree is obtained. Based on the control information for the coolant injection means to inject the coolant, and (5) instructing the coolant injection means to inject the coolant based on the set control information. And

  In the present invention, the distribution in the sheet width direction of the coolant injection degree is obtained using the shape deviation and temperature distribution deviation of the rolled material during rolling. That is, the coolant injection in the coolant injection means is controlled so that the shape and temperature distribution of the rolled material become a preset shape and temperature distribution. Therefore, the shape of the rolled material, the plate temperature, and the temperature distribution can be controlled as set in advance, so that the quality of the shape of the rolled material and the quality of the magnetic characteristics can be improved.

  A rolling control device and a rolling control method capable of simultaneously controlling the plate temperature of the rolled material during rolling and the temperature distribution in the width direction of the rolled material and the plate shape of the rolled material are realized. The quality of the characteristics and the quality of the shape can be improved.

(First embodiment)
Hereinafter, a first embodiment of the present invention will be described in detail with reference to FIGS. 1 to 5 as appropriate. FIG. 1 is a diagram showing an example of a schematic configuration of a rolling mill to which a rolling control device of the present invention is applied. As shown in FIG. 1, the rolling roll of the rolling mill 1 is a six-stage rolling roll including a work roll 75, an intermediate roll 76, and a backup roll 77.

  On the entry side of the rolling mill 1, a plurality of coolant injection nozzles 9 for injecting coolant onto the work roll 75 and the rolled material 2 are arranged along the work roll 75 in the plate width direction. These coolant injection nozzles 9 can be configured to control the ON / OFF of the coolant injection independently by controlling the opening and closing of the coolant valve 8 or the amount of coolant injection to be controlled. Yes.

  Further, a shape detection roll 31 and a shape detector 32 for detecting the plate shape of the rolled material 2 are installed on the exit side of the rolling mill 1, and the plate shape after rolling can be measured. Furthermore, on the exit side of the rolling mill 1, a plate temperature distribution detector 41 for measuring the temperature distribution in the plate width direction of the rolled material 2 is installed, and the plate temperature and the plate width direction of the rolled material 2 immediately after rolling are installed. Temperature distribution can be measured.

  In addition, the rolling mill 1 includes roll benders 70 and 71 on a work roll 75 and an intermediate roll 76 as one means for mechanically controlling the plate shape of the rolled material 2. The roll benders 70 and 71 can mainly change the deflection of the work roll 75 according to the shape of the rolled material 2. Further, in the rolling mill 1, a crown or a taper may be provided on the work roll 75 or the like, and the shape may be controlled by moving (shifting) the work roll 75 or the intermediate roll 76 in the plate width direction. Furthermore, you may provide the mechanism which changes the bending of the backup roll 77 mechanically like a Sendemia mill.

  As described above, the coolant injection nozzle 9, the shape detection roll 31, the shape detector 32, the plate temperature distribution detector 41, the roll benders 70 and 71, and the like provided in the rolling mill 1 are those that have been conventionally used. be able to.

  The rolling control device 5 is configured by a computer including a CPU (Central Processing Unit) and a memory in terms of hardware, and functionally, a target shape setting unit 55, a target temperature distribution setting unit 56, a shape -It is comprised by functional blocks, such as the temperature deviation calculating part 54, the mechanical control command calculating part 53, the rolling speed command calculating part 52, and the coolant injection command calculating part 51. Note that the functions of these functional blocks are realized by the CPU executing a predetermined program stored in the memory.

  The target shape setting unit 55 sets a target value of the plate shape of the rolled material 2 through a rolling operation monitoring screen, a rolling setting calculation screen, and the like displayed on a display device (not shown) attached to the rolling control device 5. . Moreover, the target temperature distribution setting part 56 sets the plate temperature of the rolling material 2 and the target value of plate temperature distribution through the same display screen.

The shape / temperature deviation calculation unit 54 compares the target value of the target shape set by the target shape setting unit 55 with the measured value of the plate shape measured by the shape detector 32 to obtain the shape deviation Δε _i . At the same time, the plate temperature distribution target value set by the target temperature distribution setting unit 56 and the measured value of the plate temperature distribution measured by the plate temperature distribution detector 41 are compared, and the temperature distribution deviation ΔT _i and the plate temperature are compared. The deviation ΔT is obtained.

Here, Δε _i and ΔT _i are a shape deviation and a temperature distribution deviation of the i-th region when the rolled material 2 is divided into N parts, for example, in the sheet width direction. At this time, N corresponds to the number of coolant injection nozzles 9 and the coolant injection nozzles 9 are provided so as to correspond to the respective regions of the divided rolled material 2. That is, the i-th region of the rolled material 2 is a region that receives the coolant that is injected by the i-th coolant injection nozzle 9. Note that the usage of the subscript i is the same in the present specification, and will not be described again.

The mechanical control command calculation unit 53 obtains control information for the mechanical shape control means such as the roll benders 70 and 71 based on the shape deviation Δε _i and outputs the obtained control information to the mechanical shape control means. To do. Further, the mechanical control command calculation unit 53 obtains control information for the reduction position control device 6 based on information such as the set plate thickness and outputs the obtained control information to the reduction position control device 6. The rolling speed command calculation unit 52 obtains the rolling speed of the rolled material 2 based on the plate temperature deviation ΔT, and outputs information such as the obtained rolling speed to a rotation driving device (not shown) of the rolling roller. .

The coolant injection command calculation unit 51 uses the shape deviation Δε _i , the temperature distribution deviation ΔT _i, and the plate temperature deviation ΔT to obtain and obtain coolant control information such as ON / OFF of the coolant injection and the coolant flow rate. The coolant control information is output to the coolant valve 8, the coolant injection nozzle 9, and the like.

  As described above, the coolant injection command calculation unit 51 in the present embodiment controls the ON / OFF of the coolant injection and the flow rate in consideration of the plate shape, the plate temperature, and the plate temperature distribution of the rolled material 2 at the same time. Therefore, in this embodiment, it is possible to keep the plate temperature constant without sacrificing the accuracy of the plate shape of the rolled material 2.

  Next, the configuration and operation of the coolant injection command calculation unit 51 will be described in more detail with reference to FIG. Here, FIG. 2 is a diagram showing a configuration example of functional blocks of the rolling control device in the present embodiment.

As shown in FIG. 2, the shape / temperature deviation calculation unit 54 is divided into a shape deviation calculation unit 541 and a temperature distribution deviation calculation unit 542. The shape deviation calculation unit 541 compares the target value of the target shape set by the target shape setting unit 55 with the shape data measured by the shape detector 32 via the shape detection roll 31, and calculates the shape deviation Δε _i . Calculate. Further, the temperature distribution deviation calculation unit 542 compares the plate temperature distribution target value set by the target temperature distribution setting unit 56 with the temperature data measured by the plate temperature distribution detector 41, and calculates the temperature distribution deviation ΔT _i and The plate temperature deviation ΔT is calculated.

  The coolant injection command calculation unit 51 includes a coolant injection degree calculation unit 511, a coolant injection nozzle control information setting unit 514, an ON ratio calculation unit 515, and a coolant valve control unit 516.

The coolant injection degree calculation unit 511 calculates the injection degree α _i based on the shape deviation Δε _i calculated by the shape deviation calculation unit 541 and the temperature distribution deviation ΔT _i calculated by the temperature distribution deviation calculation unit 542. Here, the injection degree α _i is a numerical value indicating the degree to which the i-th coolant injection nozzle 9 should inject coolant. Details of the calculation for obtaining the numerical value will be described separately with reference to FIG.

  By the way, in this embodiment, since the injection of the coolant from the coolant injection nozzle 9 is simple, the flow rate when the injection is turned on is not controlled only by the ON / OFF control of the injection. Therefore, it is necessary to instruct all the i-th (i = 1,..., N) coolant injection nozzles 9 to turn on or off the coolant injection from the coolant injection nozzles 9.

Therefore, the coolant injection nozzle control information setting unit 514 determines each i-th (i = 1, 1) based on the injection degree α _i calculated by the coolant injection degree calculation unit 511 and the coolant ON ratio calculated by the ON ratio calculation unit 515. .., N), the coolant injection ON / OFF control information is set for the coolant injection nozzle 9. A simple method for setting the ON / OFF control information is, for example, as follows.

First, the injection degree α _i is sorted in descending order. Then, sequentially extracted from the larger injection degree alpha _i, the number of the extracted injected degree alpha _i extracts the injected degree alpha _i until a coolant ON ratio. Here, the extracted injected degree alpha _i represents the extract jet degree alpha _j, representing the not extracted injected degree alpha _i and non-extracted injected degree alpha _k. Then, the coolant injection from the j-th coolant injection nozzle 9 corresponding to the extraction injection degree α _j is turned ON, and the coolant injection from the k-th coolant injection nozzle 9 corresponding to the non-extraction injection degree α _k is turned OFF.

  The ON ratio calculation unit 515 obtains the ratio (coolant ON ratio) of the N coolant injection nozzles 9 that turns ON the injection by performing a predetermined calculation using the plate temperature deviation ΔT, the rolling speed, and the like. . The calculation method may be to define the coolant ON ratio as a multi-order function of the plate temperature deviation ΔT and the rolling speed, and to calculate the function value. The ON ratio may be calculated from the plate temperature deviation and the rolling speed. Alternatively, a predetermined data table may be stored in a memory and obtained by referring to the data table.

  Next, the coolant injection ON / OFF control information for the coolant injection nozzle 9 set in the coolant injection nozzle control information setting unit 514 is input to the coolant valve control unit 516 as nozzle ON / OFF information. The coolant valve control unit 516 receives the nozzle ON / OFF information and outputs a nozzle ON / OFF command for opening or closing the valve to the coolant valve 8.

  At this time, the jth coolant valve 8 that has received the nozzle ON command opens the valve and injects the coolant from the jth coolant injection nozzle 9. Further, the kth coolant valve 8 that has received the nozzle OFF command closes the valve and stops the injection of coolant from the kth coolant injection nozzle 9.

  FIG. 3 is a diagram showing in detail an example of the configuration and operation of the coolant injection degree calculation unit in the present embodiment. As illustrated in FIG. 3, the coolant injection degree calculation unit 511 includes a classification mechanism A, B, C, T (5111 to 5114), a fuzzy inference unit 5115, and an injection degree calculation unit 5116.

The classification mechanisms A, B, and C (5111-1113) receive the shape deviation Δε _i and classify the shape features based on the data. That is, the classification mechanism A (5111) has a shape extending degree, the classification mechanism B (5112) has a shape data changing direction in time, and the classification mechanism C (5113) has a shape data. Classify the degree that is larger than the data of adjacent zones. Similarly, the classification mechanism T (5114) inputs the temperature distribution deviation ΔT _i and classifies the characteristics of the temperature distribution according to the data.

  Classification in the classification mechanisms A, B, C, and T (5111 to 5114) is performed using a membership function. 4A shows an example of a membership function used in the classification mechanism A, FIG. 4B shows an example of a membership function used in the classification mechanism B, and FIG. 4C shows a member used in the classification mechanism C. FIG. 8D is a diagram showing an example of a ship function, and FIG. 8D is a diagram showing an example of a membership function used in the classification mechanism T.

As shown in FIG. 4A, the classification mechanism A (5111) has five members ANB, ANS, AZO, APS, and APB based on A _i (= the shape deviation Δε _i of the i-th region). Calculate the ship function. These membership functions are functions representing the certainty of classification, and are, respectively, A negative big (ANB), A negative small (ANS), A zero (AZO), A positive small (APS), and A positive big ( Called APB).

Incidentally, in FIG. 4 (a), the value of each function, when _{A i} ≦ _{a 1,} in ANB = 1, the other function value is zero. Then, when A _i exceeds a ₁ , ANB gradually decreases. Instead, ANS gradually increases. When A _i = a ₂ , ANG = 0 and ANS = 1. Further, when A _i exceeds a ₂ , ANS gradually decreases, and instead, AZO gradually increases. When A _i = a ₃ , ANS = 0 and AZO = 1. Hereinafter, the value of each function is similarly as shown in FIG.

  Similarly, FIGS. 4B, 4C, and 4D show the membership functions BNB, BNS, BZO, BPS, and BPB used in the classification mechanism B (5112), and the classification mechanism C ( The membership functions CN, CZO, CP used in 5113) and the membership functions TNB, TNS, TZO, TPS, TPB used in the classification mechanism T (5113) are shown.

Returning to the description of FIG. 3 again. The classification mechanisms A, B, C, and T (5111 to 5114) use the shape deviation Δε _i , the temperature distribution deviation ΔT _i, and the membership function described above for each i-th divided area. , Membership function values ANB _i , ANS _i , AZO _i , APS _i , APB _i , BNB _i , BNS _i , BZO _i , BPS _i , BPB _i , CN _i , CZO _i , CP _i , and TNB _i , TNS _i , TZO _i , TPS _i , TPB _i are calculated.

The total 20 membership function values calculated in this way are input to the fuzzy inference unit 5115 for each divided i-th region. The fuzzy inference unit 5115, for each i-th divided area, represents the representative certainty factor NB based on the input membership function value and the inference rule database 5118 for fuzzy inference stored in advance in a memory or the like. _i , NS _i , ZO _i , PS _i , and PB _i are calculated. The calculation is performed as follows, for example.

  FIG. 5 is a diagram showing an example of the inference rule database in the present embodiment. As shown in FIG. 5, the inference rule database 5118 is a table in which representative membership functions set for each input membership function are described. Here, “A =” means a membership function input from the classification mechanism A (5111) to the fuzzy inference unit 5115. The meanings of “B =”, “C =”, and “T =” are also the same.

The fuzzy inference unit 5115 obtains representative certainty factors (NB _i , NS _i , ZO _i , PS _i , PB _i ) according to the following inference rules.
(1) For all combinations of input A, B, C, and T membership functions, the inference rule database 5118 is referred to, and any one of representative membership functions (NB, NS, ZO, PS, PB) )
(2) As the value of the representative membership function obtained in (1), the minimum value of each function value in the combination of the inputted A, B, C, T membership functions is given.
(3) For each representative membership function (NB, NS, ZO, PS, PB), the maximum value of each representative membership function obtained in (2) is obtained, and the representative certainty factor (NB _i , NS _i). , ZO _i , PS _i , PB _i ).

For example, it is assumed that the following combination of membership function values is input to the fuzzy inference unit 5115.
APB = 0.8, APS = 0.2, AZO = 0, ANS = 0, ANB = 0
BPB = 0.4, BPS = 0.6, BZO = 0, BNS = 0, BNB = 0
CP = 1.0, CZO = 0, CN = 0
TPB = 0.7, TPS = 0.3, TZO = 0, TNS = 0, TNB = 0

In this case, one combination of A, B, C, and T
A = APB (0.8), B = BPB (0.4), C = CP (1.0), T = TPB (0.7)
(Note: The value in () represents the value of the function. The same applies in the following explanation.)
There is. At this time, referring to the inference rule database 5118 (FIG. 5), from the rule that the representative membership function is PB and the value of the representative membership function (PB) is the minimum value of the input function value, PB = 0.4 is obtained.

Similarly,
A = APB (0.8), B = BPB (0.4), C = CP (1.0), T = TPS (0.3)
In contrast, PB = 0.3,
A = APB (0.8), B = BPS (0.6), C = CP (1.0), T = TPB (0.7)
PB = 0.6,
A = APB (0.8), B = BPS (0.6), C = CP (1.0), T = TPS (0.3)
In contrast, PB = 0.3,
A = APS (0.2), B = BPB (0.4), C = CP (1.0), T = TPB (0.7)
In contrast, PB = 0.2,
A = APS (0.2), B = BPB (0.4), C = CP (1.0), T = TPS (0.3)
In contrast, PB = 0.2,
A = APS (0.2), B = BPS (0.6), C = CP (1.0), T = TPB (0.7)
In contrast, PB = 0.2,
A = APS (0.2), B = BPS (0.6), C = CP (1.0), T = TPS (0.3)
In contrast, PB = 0.2
Is obtained.

Similarly, the representative membership function and its value are obtained with reference to the inference rule database 5118 (FIG. 5) for all other combinations of A, B, C, and T. In this example, for all other combinations of A, B, C, T,
A = APB (0.8), B = BPB (0.4), C = CN (0), T = TPS (0.3)
On the other hand, since any of the input membership function values is 0 so that PB = 0, the function value is 0 regardless of the type of the representative membership function. Therefore, according to the rule that the representative certainty factor (NB _i , NS _i , ZO _i , PS _i , PB _i ) is the maximum value of each function value, NB _i = NS _i = ZO _i = PS _i = 0, PB _i = 0.6.

  The processing of the classification mechanisms A, B, C, T (5111 to 5114) and the fuzzy inference unit 5115 described above is repeated for all i (i = 1,..., N).

Next, the injection degree calculation unit 5116 uses the representative certainty factors NB _i , NS _i , ZO _i , PS _i , PB _i (i = 1,..., N) obtained as described above, and shows the following. According to (Expression 1), the injection degree α _i for the i-th coolant injection nozzle 9 is calculated. In (Equation 1), ρ _NB , ρ _NS , ρ _ZO , ρ _PS , ρ _PB are constants for weighting, for example, ρ _NB = −2.0, ρ _NS = −1.0, It is determined in advance such that ρ _ZO = 0.0, ρ _PS = 1.0, ρ _PB = 2.0.

The injection degree α _i (i = 1,..., N) calculated by the injection degree calculation unit 5116 as described above is sent to the coolant injection nozzle control information setting unit 514, and the injection degree α _i (i = 1,...). , N), the coolant injection nozzle control information setting unit 514 sets which coolant injection nozzle 9 is turned on as described above. Then, nozzle ON / OFF information is generated based on the setting, and the generated nozzle ON / OFF information is input to the coolant valve control unit 516. The coolant valve control unit 516 outputs a nozzle ON / OFF command for opening / closing the valve to the coolant valve 8 based on the input nozzle ON / OFF information (see FIG. 2).

As described above, in the present embodiment, the plate shape of the rolled material 2 detected by the shape detector 32, the plate temperature of the rolled material 2 detected by the plate temperature distribution detector 41, and the temperature distribution in the plate width direction. Are classified into numerical values as membership function values for each region divided in the sheet width direction of the rolled material 2 by the classification mechanisms A, B, C, and T (5111 to 5114). Then, based on the value of the membership function and a predetermined inference rule database 5118, the plate shape and plate temperature distribution of the rolled material 2 are the target shape set by the target shape setting unit 55 and the target temperature distribution setting unit 56, and An injection degree α _i indicating the degree to which the coolant should be injected is obtained for each of the divided regions so as to approach the target temperature distribution, and ON / OFF of the coolant injection is set based on the injection degree α _i . Therefore, in the present embodiment, it is realized to simultaneously control the plate shape and the plate temperature distribution of the rolled material 2 by controlling the injection of the coolant from the coolant injection nozzle 9.

(Second Embodiment)
Subsequently, a second embodiment of the present invention will be described with reference to FIGS. FIG. 6 is a diagram illustrating a configuration example of functional blocks of the rolling control device according to the second embodiment.

  As shown in FIG. 6, the rolling control device 5a in the second embodiment is configured by a computer including a CPU and a memory in terms of hardware, and functionally, a target shape setting unit 55, It comprises functional blocks such as a target temperature distribution setting unit 56, a shape / temperature deviation calculation unit 54, and a coolant injection command calculation unit 51a. The difference from the first embodiment is only the coolant injection command calculation unit 51a. Moreover, the structure (refer FIG. 1) of the rolling mill 1 with which the rolling control apparatus 5a is applied is also the same as 1st Embodiment. In the following, the same components as those in the first embodiment are denoted by the same reference numerals, and descriptions of the functions and the like are omitted.

  In FIG. 6, the coolant injection command calculation unit 51a includes a coolant injection degree calculation unit A (511a), a coolant injection degree calculation unit B (511b), a coolant injection nozzle control information setting unit 514a, an ON ratio calculation unit 515, And a coolant valve control unit 516. Here, the coolant injection degree calculation unit A (511a) and the coolant injection degree calculation unit B (511b) basically have the same configuration and are omitted from the illustration, but are classified into the classifications shown in FIG. Mechanisms A, B, and C (5111-1113), a fuzzy inference unit 5115, an inference rule database 5118, and an injection degree calculation unit 5116 are configured to include the same components.

At this time, the coolant injection degree calculation unit A (511a) inputs the shape deviation Δε _i and uses a classification mechanism (not shown) similar to the classification mechanisms A, B, and C (5111 to 5113) in FIG. The shape deviation Δε _i is characterized by the degree to which the shape is extended (SA), the degree to which the shape data is changing in the direction of time extension (SB), and the degree to which the shape data is larger than the data in the adjacent region ( SC) Classify each. As a result of classification, 15 membership function values ANB _i , ANS _i , AZO _i , APS _i , APB _i , BNB _i , BNS _i , BZO _i , BPS for the shape deviation Δε _i shown in FIG. _i , BPB _i , CN _i , CZO _i , CP _i are obtained.

Next, the coolant injection degree calculation unit A (511a) uses a fuzzy inference unit (not shown) similar to the fuzzy inference unit 5115 in FIG. 3 to provide the same inference rules and inference rule database as in the first embodiment. The representative certainty factor (SNB _i , SNS _i , SZO _i , SPS _i , SPB _i ) for the shape deviation Δε _{i is obtained} according to Here, FIG. 7 is a diagram showing an example of the inference rule database used at this time.

  In the coolant injection degree calculation unit A (511a), the processing in the classification mechanism and the fuzzy inference unit is repeated for all i (i = 1,..., N).

Next, the coolant injection degree calculation unit A (511a) uses the same injection degree calculation unit (not shown) as the injection degree calculation unit 5116 to obtain the representative certainty factors SNB _i , SNS _i , SZO _i , SPS previously obtained. _{i, SPB} i (i = 1, ..., N) using a (formula 2) is calculated to calculate the i-th injection degree alpha _Si by the shape deviation of the coolant injection nozzle 9 (i = 1, ... , N). Note that in Equation _{(2), ρ SNB, ρ SNS} , ρ SZO, ρ SPS, ρ SPB is a constant for weighting, for _{example, ρ SNB = -2.0, ρ SNS} = -1.0, It is determined in advance such that ρ _SZO = 0.0, ρ _SPS = 1.0, ρ _SPB = 2.0.

On the other hand, coolant application degree calculation unit B (511b) receives the temperature distribution deviation [Delta] T _i, classification mechanism A in FIG. 3, B, the C (from 5,111 to 5,113) and the same classification mechanism (not shown) The characteristics of the temperature distribution deviation ΔT _i are as follows: the degree to which the temperature deviation is large (TA = ΔT _i ), the degree to which the time derivative of the temperature deviation is large (SB = ΔT _i / dt), and the temperature deviation in the region where the temperature deviation is adjacent. For each of the large degrees (SC = ΔT _i · (ΔT _i-1 + ΔT _{i; 1} ) / 2), classification is performed. As a result of the classification, membership function values ANB _i , ANS _i , AZO _i , APS _i , APB _i , BNB _i , BNS are similar to the 15 membership functions for the shape deviation Δε _i shown in FIG. _{i, BZO i, BPS i,} BPB i, CN i, CZO i, is determined as the CP _i.

Next, the coolant injection degree calculation unit B (511b) uses the same fuzzy inference unit (not shown) as the fuzzy inference unit 5115 in FIG. The representative certainty factor (TNB _i , TNS _i , TZO _i , TPS _i , TPB _i ) for the temperature distribution deviation ΔT _i is obtained. Here, FIG. 8 is a diagram showing an example of the inference rule database used at this time.

  In the coolant injection degree calculation unit B (511b), the processing in the classification mechanism and the fuzzy inference unit is repeated for all i (i = 1,..., N).

Next, the coolant injection degree calculation unit B (511b) uses the same injection degree calculation unit (not shown) as the injection degree calculation unit 5116 to obtain the representative certainty factors TNB _i , TNS _i , TZO _i , TPS previously obtained. (Equation 3) is calculated using _i and TPB _i (i = 1,..., N), and an injection degree α _Ti due to a plate temperature deviation with respect to the i-th coolant injection nozzle 9 is calculated (i = 1, ..., N). In (Expression 3), ρ _TNB , ρ _TNS , ρ _TZO , ρ _TPS , ρ _TPB are constants for weighting, for example, ρ _TNB = −2.0, ρ _TNS = −1.0, ρ _TZO = 0.0, ρ _TPS = 1.0, ρ _TPB = 2.0 are determined in advance.

Subsequently, the coolant injection nozzle control information setting unit 514a uses the injection degree α _Si based on the shape deviation obtained as described above and the injection degree α _Ti based on the temperature distribution deviation, and integrates the injection degree α according to (Equation 4). _i is calculated (i = 1,..., N). Note that in Equation _{(4), G S,} G _T is a weighting constant. As will be described later, the weighting constants G _S and G _T are calculated as required by calculating a predetermined evaluation function using the shape deviation Δε _i and the temperature distribution deviation ΔT _i and manually or automatically based on the calculated values. can do.

Next, the coolant injection nozzle control information setting unit 514a determines each i-th (i = 1,..., N) coolant based on the integrated injection degree α _i and the coolant ON ratio calculated by the ON ratio calculation unit 515. For the injection nozzle 9, the coolant injection ON / OFF control information (nozzle ON / OFF information) is generated. The generated nozzle ON / OFF information is input to the coolant valve control unit 516. The coolant valve control unit 516 outputs to the coolant valve 8 a nozzle ON / OFF command for operating the valve to open or close based on the input nozzle ON / OFF information.

As described above, also in the second embodiment, the plate shape and the plate temperature distribution of the rolled material 2 are simultaneously controlled by the coolant injection control from the coolant injection nozzle 9. Moreover, the weighting constants G _S in Equation _(4), the G _T, as appropriate, by changing, it is possible to adjust the degree of influence of the degree and the plate temperature distribution of the plate shape of the impact of the coolant injection control.

Incidentally, how to change manually or automatically weighted constant G _S, the G _T in Equation (4) is as follows.

The coolant injection nozzle control information setting unit 514a calculates an evaluation function J shown in (Expression 5) using the shape deviation Δε _i and the temperature distribution deviation ΔT _i . Here, W _Shape and W _Temp are weighting constants of the shape deviation Δε _i and the plate temperature deviation ΔT _i , respectively, and ΔT _ave is an average value of the temperature distribution deviation ΔT _i . Further, i _min is a number such as 2-3, i _max is a number such as N-1, N-2, and the evaluation function J is calculated by excluding the influence of both ends of the rolled material 2.

At this time, the value of the evaluation function J becomes a positive number when the influence of the shape deviation Δε _i is large, and becomes a negative number when the influence of the temperature distribution deviation ΔT _i is large. Therefore, depending on the value of the evaluation function J, manually as appropriate weighting constants _G S, determines the _{G T.}

Further, the weighting constants G _S, in automatically determining the G _T is, for example, weighted constant G _S against the value of the evaluation function J as shown in FIG. _9, in advance prepared membership function G _T. That is, the coolant injection nozzle control information setting unit 514a is evaluated after calculation function J, weighted constant G _S with the value of the _J, calculates the membership function of G _T, each resulting membership functions values, weighted constant _G S, the value of _{G T.}

In FIG. 9, the solid line represents the membership function of the weighting constant G _S , and the alternate long and short dash line represents the membership function of the weighting constant G _T. These membership functions are indicated by broken lines, but may be functions indicated by curves as long as G _S + G _T = 1 is satisfied. In this case, the evaluation function J is a difference between the mean square of the shape deviation Δε _i and the temperature distribution deviation ΔT _i , but any function can be used as long as the shape deviation can be compared with the temperature deviation. A function may be used.

As described above, the coolant injection nozzle control information setting unit 514a is an evaluation function J is calculated, according to the value, weighted constant G _S, by calculating a membership function G _T, manpower without intervention , the weighted constant _G S, it is possible to determine the value of _{G T.}

  In addition, the rolling control apparatuses 5 and 5a in the first and second embodiments described above are applied to the rolling mill 1 in which the plate temperature distribution detector 41 and the shape detection roll 31 are provided on the exit side of the rolling roll. However, the present invention can also be applied to a rolling mill in which at least one of the plate temperature distribution detector 41 and the shape detection roll 31 is provided on the entry side of the rolling roll.

It is the figure which showed the example of schematic structure of the rolling mill with which the rolling control apparatus of this invention is applied. It is the figure which showed the structural example of the functional block of the rolling control apparatus in 1st Embodiment. It is the figure which showed in detail the example of a structure and operation | movement of the coolant injection degree calculating part in 1st Embodiment. In the first embodiment, (a) an example of a membership function used in the classification mechanism A, (b) an example of a membership function used in the classification mechanism B, and (c) a member used in the classification mechanism C. FIG. 4 is a diagram illustrating an example of a ship function, and (d) an example of a membership function used in the classification mechanism T. It is the figure which showed the example of the inference rule database in 1st Embodiment. It is the figure which showed the structural example of the functional block of the rolling control apparatus in 2nd Embodiment. It is the figure which showed the example of the inference rule database used when calculating the injection degree (alpha) _Si by a shape deviation in 2nd Embodiment. It is the figure which showed the example of the inference rule database used when calculating the injection degree (alpha) _Ti by temperature distribution deviation in 2nd Embodiment. Weighted constant G _S in the second _embodiment, a diagram showing an example of membership functions used in determining automatically the G _T.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Rolling mill 2 Rolled material 5,5a Rolling control apparatus 6 Rolling-down position control apparatus 8 Coolant valve 9 Coolant injection nozzle 31 Shape detection roll 32 Shape detector 41 Plate temperature distribution detector 51, 51a Coolant injection command calculating part 52 Rolling speed command Calculation unit 53 Mechanical control command calculation unit 54 Shape / temperature deviation calculation unit 55 Target shape setting unit 56 Target temperature distribution setting unit 70, 71 Roll bender 75 Work roll 76 Intermediate roll 77 Backup roll 511, 511a, 511b Calculation of coolant injection degree 514, 514a Coolant injection nozzle control information setting unit 515 ON ratio calculation unit 516 Coolant valve control unit 541 Shape deviation calculation unit 542 Temperature distribution deviation calculation unit 5115 Fuzzy inference unit 5116 Injection degree calculation unit 5118 Inference rule database Source

Claims (8)

A work roll for rolling the rolled material;
Coolant injection means that is provided along the work roll in the plate width direction of the rolled material, and injects a coolant toward the work roll and the rolled material,
A shape detecting means provided in the vicinity of the work roll and detecting the shape of the rolled material in the plate width direction;
A rolling control device for a rolling mill, which is provided near the work roll and includes at least a temperature distribution detecting means for detecting a temperature distribution in the sheet width direction of the rolled material,
A shape deviation calculating means for calculating a shape deviation by calculating a shape in the sheet width direction of the rolled material detected by the shape detecting means and a preset target shape in the sheet width direction of the rolled material;
Temperature distribution deviation calculation for calculating a temperature distribution deviation by calculating a temperature distribution in the sheet width direction of the rolled material detected by the temperature distribution detecting means and a preset target temperature distribution in the sheet width direction of the rolled material. Means,
Coolant injection that represents the degree to which the coolant injection means should inject the coolant by calculating the shape deviation obtained by the shape deviation calculation means and the temperature distribution deviation obtained by the temperature distribution deviation means. A coolant injection degree calculating means for obtaining a distribution of the degree in the plate width direction;
A coolant injection control information setting means for setting control information for the coolant injection means to inject the coolant based on a distribution in the plate width direction of the coolant injection degree obtained by the coolant injection degree calculation means; ,
A rolling control device comprising: coolant injection command means for commanding coolant injection to the coolant injection means based on control information set by the coolant injection control information setting means. The coolant injection degree calculation means is
A class for classifying at least one of the shape deviation and the temperature distribution deviation for each region divided in the sheet width direction of the rolled material by a predetermined membership function, and determining a value of the membership function at that time Dividing means,
A fuzzy inference means for obtaining a certainty factor for injecting coolant to the area of the divided area based on a value of the membership function determined by the classification means and a predetermined inference rule;
The injection degree calculation means for calculating a coolant injection degree for the area of the divided area based on the certainty factor obtained by the fuzzy inference means. Rolling control device. In the coolant injection degree calculation means, the coolant injection degree based on the shape deviation and the coolant injection degree based on the temperature distribution deviation are obtained independently,
The means for calculating a weighted average of the coolant injection degree based on the independently obtained shape deviation and the coolant injection degree based on the temperature distribution deviation is further provided. Rolling control device. Means for obtaining a value of a predetermined evaluation function based on the shape deviation and the temperature distribution deviation, and determining a weighting constant for taking the weighted average according to the value of the evaluation function; The rolling control device according to claim 3. A work roll for rolling the rolled material;
Coolant injection means that is provided along the work roll in the plate width direction of the rolled material, and injects a coolant toward the work roll and the rolled material,
A shape detecting means provided in the vicinity of the work roll and detecting the shape of the rolled material in the plate width direction;
A rolling control method for a rolling mill provided at least with a temperature distribution detecting means provided in the vicinity of the work roll and detecting a temperature distribution in the sheet width direction of the rolled material,
A rolling control device for controlling the rolling mill,
A shape deviation calculating step for calculating a shape deviation by calculating a shape in the sheet width direction of the rolled material detected by the shape detecting means and a preset target shape in the sheet width direction of the rolled material;
Temperature distribution deviation calculation for calculating a temperature distribution deviation by calculating a temperature distribution in the sheet width direction of the rolled material detected by the temperature distribution detecting means and a preset target temperature distribution in the sheet width direction of the rolled material. Steps,
Coolant injection representing the degree to which the coolant injection means should inject coolant by calculating the shape deviation obtained in the shape deviation calculation step and the temperature distribution deviation obtained in the temperature distribution deviation step. A coolant injection degree calculation step for obtaining a distribution of the degree in the plate width direction;
A coolant injection control information setting step for setting control information for the coolant injection means to inject the coolant based on the distribution in the plate width direction of the coolant injection degree obtained in the coolant injection degree calculation step; ,
And a coolant injection command step for commanding coolant injection to the coolant injection means based on the control information set in the coolant injection control information setting step. The coolant injection degree calculation step includes:
A class for classifying at least one of the shape deviation and the temperature distribution deviation for each region divided in the sheet width direction of the rolled material by a predetermined membership function, and determining a value of the membership function at that time Dividing step,
A fuzzy inference step for determining a certainty of injecting coolant to the region of the divided region based on the value of the membership function determined by the classification step and a predetermined inference rule;
The injection degree calculation step of calculating a coolant injection degree for the region of the divided region based on the certainty factor obtained by the fuzzy inference step. Rolling control method. The rolling control device
In the coolant injection degree calculation step, a coolant injection degree based on the shape deviation and a coolant injection degree based on the temperature distribution deviation are obtained independently,
The step of taking a weighted average of the coolant injection degree based on the independently obtained shape deviation and the coolant injection degree based on the temperature distribution deviation is further executed. Rolling control method. The rolling control device
The step of obtaining a value of a predetermined evaluation function based on the shape deviation and the temperature distribution deviation and determining a weighting constant when taking the weighted average according to the value of the evaluation function is further executed. The rolling control method according to claim 7.

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