BACKGROUND OF THE INVENTION
Field of the Invention
[0001] The present invention relates to a control device of a tandem rolling mill and a
control method which are suitable for qualitative improvement of a strip.
Description of Prior Art
[0002] In the past, in hot strip tandem rolling mill control of a strip, a method is generally
employed which comprises, prior to rolling, predicting a rolling condition of a strip
to be rolled, determining a screw-down position (corresponding to a clearance between
upper and lower work rolls) and a roll speed, controlling a head end of strip, and
thereafter gradually compensating the screw-down position and the roll speed to suitable
values by utilizing a strip thickness and a strip tension between rolling stands,
which are obtained from a detector. In this control method, in order to adjust a strip
thickness of the head end to a target value with accuracy and to stabilize the rolling
at the time when the head end is bitten by the respective rolling stands of a finish
mill, it is required to set the screw-down positions of the respective rolling stands
and a reference value of the roll speed to suitable values by prediction calculation.
In that case, what is particularly important for obtaining of a target strip thickness
at a delivery of final rolling stand is the screw-down position. In order to properly
determine the screw-down position, it is required to raise prediction accuracy of
roll force.
[0003] Rolling control methods for improving prediction accuracy are disclosed in the following
Patent Literature 1 to 3, for example.
[0004] In Patent Literature 1 (Japanese Patent Application Laid-Open No.
Hei. 10-263640), an example of a rolling control method is disclosed which comprises determining
a learning coefficient on the basis of a roll force actual value Pact and a roll force
prediction model calculated-value Pcal found by substituting the roll force actual
value for a roll force prediction model P, separating the learning coefficient into
a first learning coefficient Zpk of a component to learn an error intrinsic to a material
to be rolled and a second learning coefficient Zpm of a component to learn an error
due to the time variance of a rolling machine, and learning the both components separately.
[0005] Also, in Patent Literature 2 (Japanese Patent Application Laid-Open No.
2013-226596), an example of a roll force prediction model is disclosed in which, in addition
to processing to learn an estimated error of deformation resistance of a material,
to be rolled, on the basis of rolling results, processing to learn an estimation error
of a friction coefficient is performed on the basis of rolling results in connection
with a friction phenomenon between rolling rolls and the material to be rolled, whereby
prediction accuracy of the deformation resistance and friction coefficient is improved
and prediction accuracy of the roll force is enhanced.
[0006] While the above-mentioned two example are characterized in that the concept of learning
is introduced into the estimation of the roll forces of respective rolling stands,
a method is disclosed in Patent Literature 3 (Japanese Patent Application Laid-Open
No.
2009-113101) in which taking notice of a relationship among roll forces of a plurality of rolling
stands, prediction accuracy of the roll forces are raised. That is, in Patent Literature
3, a rolling control method is disclosed in which using errors of the roll forces
in the respective rolling stands which are calculated on the basis of roll force actual
values in the respective rolling stands and a roll force prediction model calculation
value found by substituting a rolling condition actual value, change of errors between
an upstream rolling stand and a downstream rolling stand are modeled and, further,
variations in roll force prediction errors among the rolling stands are suppressed
using the model.
[0007] However, in the rolling control methods disclosed in Patent Literature 1 to 3, the
following problems exist.
[0008] For example, the roll force prediction model disclosed in Patent Literature 1 is
estimated by separating the estimation error of the roll force (a difference between
the roll force actual value Pact and the roll force prediction model calculation value
Pcal) into an inherent error component of a strip to be rolled (an error predicted
using the first learning coefficient Zpk) and an error component due to time variance
of a rolling mill (an error predicted using the second learning coefficient Zpm).
However, the separation of the error factor is impossible from the first.
[0009] Referring to Patent Literature 1, it describes that the separation of the error factor
is possible since inclination of the time variance of the rolling mill is small. However,
in a case where, for example, changes in a strip thickness and a strip width of a
strip to be continuously rolled are small, the estimation value of the roll force
does not considerably vary. Therefore, there was a case where the inherent error of
the strip to be rolled which had been generated was mistakenly separated as the error
due to time variance of the rolling mill. Therefore, a problem occurs in which the
first learning coefficient Zpk and the second learning coefficient Zpm in the roll
force prediction model are improperly learned and the prediction accuracy of the roll
force is deteriorated.
[0010] Moreover, in the method disclosed in Patent Literature 2, it is actually impossible
to discriminate whether, for example, increase of the roll force depends upon increase
of the deformation resistance or increase of friction. Therefore, similarly to the
case of Patent Literature 1, a problem occurs in which the deformation resistance
and the friction coefficient which are used in the roll force prediction model are
improperly learned and the prediction accuracy of the roll force is deteriorated.
[0011] Moreover, the characteristics of the roll force prediction models disclosed in Patent
Literature 1 and 2 reside in that learning to be utilized for the prediction is independently
performed in the respective rolling stands, on the basis of roll force results obtained
in the respective rolling stands. Therefore, there is a case where a learning value
in a specific rolling-stand becomes large and, by its reaction, the learning coefficients
in neighboring rolling stands become small, and the both are considerably different
in learning values. As a result, the roll forces in the respective rolling stands
are compensated at large values or small values, so that a problem occurs in which
roll force balance specially between the neighboring rolling stands collapses. If
the roll force balance between the neighboring rolling stands collapses, a problem
occurs in which increase and reduction in strip tensions among the rolling stand become
unbalanced and rolling becomes unstable.
[0012] In the technology disclosed in Patent Literature 3, the roll force error change model
is configured based on the errors of the roll forces in the respective rolling stands
and the learning values in the respective rolling stands are calculated in accordance
with the model. As a result, a learning value in a certain rolling stand is not considerably
different from that in another rolling stand, so that roll force balance among the
respective rolling stands can be maintained. On the other hand, the processing to
configure the roll force error change model is required, so that there is a problem
in which computational complexity is increased.
[0013] Moreover, generally, in the tandem rolling mill, there is a case where the characteristics
of the roll force prediction error complexly varies as the strip is advanced from
an upstream rolling stand side to a downstream rolling stand. For example, there is
a case where when a comparison between the prediction roll force and the result roll
force is made, the result roll force is large in the upstream and downstream rolling
stands, and the prediction roll force is large in a middle rolling-stand. That is,
there is a case where the prediction error leans on the upstream and downstream rolling
stands, for example, to a plus side, and to a minus side at a middle portion.
[0014] In contrast, the roll force error change model disclosed in Patent Literature 3 is
linear approximation, so that it cannot respond to such non-linear characteristics
of the roll force prediction errors. Thus, if a model that responds to the non-linearity
is introduced, a problem occurs in which the model becomes complex and computational
complexity. In addition, a problem occurs in which the prediction results of the roll
forces vary according to the complexity of the above-mentioned model.
SUMMARY OF THE INVENTION
[0015] The present invention has been made in order to solve the problems of the above-mentioned
prior art, and the object of the present invention is to provide a control device
of a tandem rolling mill and a control device which make it possible to realize balance
consistency among a plurality of rolling stands with simple processing.
[0016] In order to achieve the above-mentioned object of the present invention, there is
provided a control device of a tandem rolling mill for continuously rolling a strip
with a plurality of rolling stands, which comprises a roll force prediction error
calculation section estimating roll forces in the respective rolling stands, utilizing
rolling actual values acquired in the respective rolling stands when the strip is
rolled, and calculating roll force prediction errors in the respective rolling stands
on the basis of roll force actual values acquired in connection with the rolling,
a roll force balance consistency value calculation section calculating balance consistency
values with respect to the respective rolling stands, the balance consistency values
indicating the degree of differences between the roll force prediction errors in the
respective rolling stands and the roll force prediction errors in rolling stands neighboring
to the respective rolling stands, which are calculated by the roll force prediction
error calculation section, a roll force compensation value calculation section calculating
roll force compensation values in the respective rolling stands from the roll force
prediction errors in the respective rolling stands, which are calculated by the roll
force prediction error calculation section, and the roll force balance consistency
values in the respective rolling stands, which are calculated by the roll force balance
consistency value calculation section, and/or a control reference setup section estimating
roll forces in the respective rolling stands regarding a strip to be next rolled,
compensating the estimated roll forces in the respective rolling stands with the roll
force compensation values in the respective rolling stands which are calculated in
the roll force compensation value calculation section, and calculating screw-down
positions, which are to be set to the respective rolling stands, by using the compensated
roll forces.
[0017] According to the present invention, there are provided a tandem rolling mill control
device and a control device which make it possible to realize balance consistency
among a plurality of rolling stands with simple processing.
BRIEF DESCRIPTION OF THE DRAWINGS
[0018]
Fig. 1 is a view illustrating examples of configurations of a tandem rolling mill
control device and of a control object, according to an embodiment of the present
invention;
Fig. 2 is a view illustrating an example of a processing flow of processing which
a control reference setup section executes;
Fig. 3 is a view illustrating an example of a configuration of a draft schedule table
which is stored in a draft schedule storage section;
Fig. 4 is a view illustrating an example of a configuration of a speed pattern table
which is stored in a speed pattern storage section;
Fig. 5 is a view illustrating an example of a processing flow of processing which
an inter-stand strip thickness calculation section executes;
Fig. 6 is a view illustrating an example of a processing flow of processing which
a roll force prediction error calculation section executes;
Fig. 7 is a view illustrating an example of a processing flow of processing which
a roll force balance consistency value calculation section executes;
Fig. 8 is a view illustrating an example of a configuration of a roll force balance
ratio table which is stored in a roll force balance ratio storage section;
Fig. 9 is a view illustrating an example of a processing flow of processing which
a roll force compensation value calculation section executes;
Fig. 10 is a view illustrating an example of a configuration of a roll force compensation
actual value table which is stored in a roll force compensation actual value storage
section;
Fig. 11 is a view illustrating an example of a configuration of a tandem rolling mill
control device according to a second embodiment of the present invention;
Fig. 12 is a view illustrating an example of a processing flow of processing which
a steel grade-similarity calculation section executes; and
Fig. 13 is a view illustrating an example of a similarity-number table which is stored
in a similarity-number storage section.
DETAILED DESCRIPTION OF THE INVENTION
[0019] Embodiments of the present invention will be described hereinafter in detail with
reference to the drawings.
(First Embodiment)
[0020] Fig. 1 is a view which shows examples of configurations of a tandem rolling mill
control device 10 and of a control object 50, according to an embodiment of the present
invention. As shown in Fig. 1, the tandem rolling mill control device 10 obtains signals
indicative of various states from the control object 50 and outputs various control
signals to the control object 50. Incidentally, in Fig. 1, signals connecting respective
blocks are indicated by arrows regardless of the type and number of signals.
[0021] First of all, referring to Fig. 1, a configuration of the control object 50 is explained.
In this embodiment, the control object 50 is a hot strip tandem rolling mill provided
with a finish mill 60. The finish mill 60 is configured by a plurality of rolling
stands 61, rolls a roughing bar 65, which was rolled in a roughing mill (not shown)
at a pre-stage and has a thickness of about 30 mm, for example, and produces a thin
strip 63.
[0022] In the example of Fig. 1, the finish mill 60 has a configuration in which seven rolling
stands 61 are continuously arranged, and the strip 63 (roughing bar 65) is rolled
while being moved from the left to the right. Specifically, the strip 63 (roughing
bar 65) is sequentially processed thinly by rolling in the respective rolling stands
61 (F
1 to F
7) and is discharged as an approximately 1 mm to 15 mm thickness strip 63 from an delivery
of the rolling stand 61 (F
7).
[0023] Incidentally, in the finish mill 60, direct rolling of the roughing bar 65 and the
strip 63 is performed by work rolls 62 of the respective rolling stands 61. Incidentally,
the roughing bar 65 is sometimes referred to as other names such as a roughing bar,
an incoming bar, a transfer bar, etc. Moreover, in this application, the roll speed
means a circumferential speed of the work roll 62.
[0024] At the delivery of the final rolling stand 61 (F
7) of the finish mill 60, a multi gauge 64 that measures a strip thickness, a strip
width, temperature, etc. of the strip 63 is disposed. Moreover, though omitted in
Fig. 1, various detectors for detecting the states of the roughing bar 65 and the
strip 63, such as a thermometer measuring the temperature of the roughing bar 65 and
strip 63, a shapemeter measuring flatness of the strip 63, a crop profile guage measuring
head and tail end shape images of the roughing bar 65, a surface inspection equipment
detecting a surface flaw of the strip 63, etc., are actually arranged in different
places as needed.
[0025] Next, the configuration of the tandem rolling mill control device 10 is described.
As shown in Fig. 1, the tandem rolling mill control device 10 is configured to include
a control reference setup section 11, a rolling result collection section 12, an inter-stand
strip thickness calculation section 13, a roll force prediction error calculation
section 14, a roll force balance consistency value calculation section 15, a roll
force compensation value calculation section 16, a screw-down position control section
17, a roll speed control section 18, a draft schedule storage section 21, a speed
pattern storage section 22, a roll force balance ratio storage section 23, a roll
force compensation actual value storage section 24, etc.
[0026] The control reference setup section 11 receives information required for rolling,
such as the steel grade, target strip thickness, target strip width, etc. of the strip
63 to be rolled, which are transmitted from a host computer 40. Then, according to
the received information, the roll force, screw-down position (roll gap), roll speed,
etc. in each rolling stand 61 are calculated utilizing information and the like which
is obtained from the draft schedule storage section 21 and the speed pattern storage
section 22. Though the details will be described hereinafter, a roll force compensation
value that is calculated in the roll force compensation value calculation section
16 is taken into consideration in this calculation of the roll force.
[0027] The control reference setup section 11 further outputs calculation results of the
roll force, screw-down position, roll speed, etc. in each rolling stand 61 to the
screw-down position control section 17 and the roll speed control section 18, respectively,
as control references of the screw-down position and roll speed. Then, on the basis
of the control references, the screw-down position control section 17 outputs a control
value for controlling the roll force and screw-down position to each rolling stand
61. Similarly, on the basis of a roll speed reference, the roll speed control section
18 outputs a control value for controlling the roll speed to each rolling stand 61.
[0028] The rolling results collection section 12 collects a rolling-actual value of the
strip, that is detected via the multi gauge 64 or the like, and control reference
values (roll force, screw-down position, roll speed, etc.) that are outputted to the
control object 50 from the screw-down position control section 17, the roll speed
control section 18, etc.
[0029] The inter-stand strip thickness calculation section 13 estimates an inter-stand strip
thickness of the strip 63 among the respective rolling stands 61 utilizing the data
which the rolling results collection section 12 collects. Moreover, the roll force
prediction error calculation section 14 predicts roll forces of the respective rolling
stands 61 utilizing the inter-stand strip thickness estimated in the inter-stand strip
thickness calculation section 13, and calculates deviations between them and actual
roll forces (hereinafter referred to as roll force prediction errors).
[0030] Moreover, the roll force balance consistency value calculation section 15 calculates
a roll force balance consistency value for maintaining roll force balance among the
respective rolling stands 61, utilizing a roll force prediction error of a remarkable
rolling stand 61, a roll force prediction error of a rolling stand 61 neighboring
thereto, and a ratio acquired from the roll force balance ratio storage section 23
(a roll force balance ratio referred to in Fig. 8, etc.), among the roll force prediction
errors calculated in the roll force prediction error calculation section 14.
[0031] Moreover, the roll force compensation value calculation section 16 calculates a roll
force compensation value, that should be outputted to the control reference setup
section 11, by utilizing the roll force prediction error calculated by the roll force
prediction error calculation section 14, the roll force balance consistency value
calculated by the roll force balance consistency value calculation section 15, and
a roll force compensation value stored in the roll force compensation actual value
storage section 24 and calculated in connection with the rolling in the past.
[0032] Specific hardware of the tandem rolling mill control device 10 which is configured
as described above is realized by a computer provided with an arithmetic processing
unit and a storage unit, and a work station. Functions of the respective sections
such as the control reference setup section 11, the rolling-results collection section
12, the inter-stand strip thickness calculation section 13, the roll force prediction
error calculation section 14, the roll force balance consistency value calculation
section 15, the roll force compensation value calculation section 16, the screw-down
position control section 17, the roll speed control section 18, etc. which are shown
in Fig. 1 are realized by execution of predetermined program stored in the storage
unit comprising a semiconductor memory, a hard disk drive, etc., by the arithmetic
processing unit. Moreover, the storage sections, such as the draft schedule storage
section 21, the speed pattern storage section 22, the roll force balance ratio storage
section 23, the roll force compensation actual value storage section 24, etc., are
realized by storage of predetermined data into a region which is assigned to a part
of the storage unit.
[0033] Operation of the respective sections constituting the tandem rolling mill control
device 10 will be in turn described in detail hereinafter. First of all, referring
to Figs. 2 to 4, the operation of the control reference setup section 11 is explained.
Fig. 2 is a view illustrating an example of a processing flow of processing which
the control reference setup section 11 executes. Also, Fig. 3 is a view illustrating
an example of a configuration of a draft schedule table 211 that is stored in the
draft schedule storage section 21, and Fig. 4 is a view illustrating an example of
a configuration of a speed pattern table 221 that is stored in the speed pattern storage
section 22.
[0034] When the strip 63 (refer to Fig. 1) is rolled in the finish mill 60 , roll force
in the respective rolling stands 61 and screw-down position of the work rolls 62 are
required to be suitable in order to obtain a desired thickness of a head end portion
of the strip 63 . Moreover, in order to stabilize behavior at the time when the strip
63 is bitten by downstream rolling stands 61, the roll speeds of the respective rolling
stands 61 are required to be well-balanced, without any disturbance of a mass flow
of the strip 63 (product of the strip thickness and the strip speed).
[0035] Therefore, the control reference setup section 11 receives information of the steel
grade, target strip thickness, target strip width, etc. of the strip 63 to be rolled
now, which are transmitted from the host computer 40, and calculates a control reference
such as the screw-down position, the roll speed, etc. to be required in order to roll
the strip 63 according to the target.
[0036] As shown in Fig. 2, the control reference setup section 11 first refers to the draft
schedule table 211 (refer to Fig. 3) stored in the draft schedule table storage section
21 to acquire a draft schedule table corresponding to the steel grade, target strip
thickness and target strip width of the strip, that is a rolling object, which are
transmitted from the host computer 40, and calculates screw-down ratios of the respective
rolling stands 61 (Step S11).
[0037] As shown in Fig. 3, the draft schedule table 211 is configured by a draft schedule
in which the steel grade, target strip thickness, target strip width, etc. of the
strip 63 to be rolled are categorized. The draft schedule is information indicating
how much the roughing bar 65 or the strip 63 is rolled in each of the rolling stands
61 (F
1 to F
7), namely, information indicating a draft (ratio of a difference between an entry
strip thickness and an delivery strip to the entry strip thickness) in percent.
[0038] For example, a case where a roughing bar 65 whose steel grade is SS400 and which
has a thickness of 35 mm is rolled to make a strip 63 whose target strip thickness
and target strip width are 2.5 mm and 900 mm, respectively, is assumed. In the draft
schedule table 211 of Fig. 3, this strip 63 is categorized as a strip which has a
target strip thickness of 2.0 to 3.0 mm and a target strip width equal to or less
than 1000 mm. Therefore, the roughing bar 65 having a strip thickness of 35 mm is
rolled by 14 mm equivalent to 40 % of the strip thickness thereof, and consequently,
a strip 63 which has an delivery strip thickness of 21 mm is produced. Similarly,
in the rolling stand 61 (F
2), the strip 63 having the entry strip thickness of 21 mm is rolled by 35% of the
thickness thereof to make a strip 63 having an delivery strip thickness of 13.65 mm.
[0039] Incidentally, some deviations are produced between the delivery strip thickness acquired
in the final rolling stand 61 (F
7) in this way and the target strip thickness of 2.5 mm but the deviations can be cancelled
by compensation of the deviations by the control reference setup section 11 according
to drafts in the respective rolling stands 61.
[0040] The explanation is again returned to the processing flow shown in Fig. 2. Successively
to the processing in Step S11, the control reference setup section 11 refers to the
speed pattern table 221 (refer to Fig. 4) stored in the speed pattern storage section
22 to acquire a speed pattern which correspond to the steel grade, target strip thickness,
and target strip width of the strip 63 that is the rolling object, and calculates
a rolling speed (strip speed) at the delivery of the final rolling stand 61 (F
7) (Step S12).
[0041] As shown in Fig. 4, the speed pattern table 221 is configured by a speed pattern
table that is categorized by the steel grade, target strip thickness, target strip
width, etc. of the strip 63 to be rolled. The speed pattern is information about a
speed at the time when the strip 63 that is the rolling object is discharged from
the final rolling stand 61 (F
7), for example, means information which comprises an initial speed, a first acceleration
rate, a second acceleration rate, a regular speed, a deceleration rate, and a final
speed.
[0042] Moreover, the initial speed is a speed at the time when the head end of the strip
63 is discharged from the final rolling stand 61 (F
7), the first acceleration rate is an acceleration rate at the time when the speed
of the strip 63 is increased after discharging of the head of the strip 63, the second
acceleration rate is an acceleration rate until the strip 63 reaches the regular speed
after it is bitten by a down coiler (omitted in Fig. 1) that is post-stage facility,
the deceleration rate is a deceleration rate at the time when the strip 63 stably
passes through the respective rolling stands 61 and decelerated to the final speed,
and the final speed is a speed at the time when a tail end of the strip 63 is discharged
from the final rolling stand 61(F
7).
[0043] Incidentally, in the example of Fig. 4, in the event of a strip 63 whose steel grade,
target strip thickness, and target strip width are SS400, 1.2 to 1.4 mm, and 1000
mm or less, respectively, the initial speed is 650 mpm (meter per minute), the first
acceleration rate is 2 mpm/s, the second acceleration rate is 12 mpm/s, the regular
speed is 1100 mpm, the deceleration rate00 is 6 mpm/s, and the final speed is 700
mpm.
[0044] The explanation is again retuned to the processing flow shown in Fig. 2. Successively
to the processing in Step S12, the control reference setup section 11 executes processing
to estimate temperature of the respective rolling stands 61 (Step S13). At this time,
the temperature of the roughing bar 65 and strip 63 is estimated by combining temperature
detected by thermometers (not shown in Fig. 1) installed at the respective sections
of the control object 50, heat transfer by radiation, heat transfer, heat generation
by plastic deformation due to deformation of the strip 63 by rolling, heat conduction
between rolls that is taken away by roll surfaces at the time of rolling, etc. Incidentally,
many temperature estimation methods are introduced in thermodynamic literatures and
the like. Moreover, since temperature change in rolling of the strip 63 is described
in detail in, for example, "
Theory and Practice of Strip Rolling", (Iron and Steel Institute of Japan, issued
on September, 2010), Chapter 6 "Temperature Change in Rolling", its detailed explanation is omitted.
[0045] Next, the control reference setup section 11 calculates deformation resistance that
is a value corresponding to hardness of the strip 63 to be rolled in the respective
rolling stands 61 (Step S14). Methods of calculating deformation resistance are described
in various literatures and described in detail in chapter 7 (Deformation Resistance)
of the above-mentioned literature "Theory and Practice of Strip Rolling", for example.
Incidentally, according to the formula 7.54 of the above-mentioned literature "Theory
and Practice of Strip Rolling", deformation resistance Kf can be calculated by the
following formula (1).

where T is rolling temperature of the strip 63 that is estimated, ε is strain, dε/dt
is a strain speed, and k, n, m, and A are constants depending upon the steel grade.
[0046] Next, the control reference setup section 11 calculates roll speeds in respective
rolling stands 61 (Step S15). Since the strip speed at the delivery of the final rolling
stand 61 (F
7) is found in Step S12, here, on the basis of this, the strip speeds Vs
i at the delivery of the respective rolling stand 61 is first calculated by using the
following formula (2).

where Vs
i is a strip speed at the delivery of the rolling stand (F
i), Vs
7 is a strip speed at the delivery of the rolling stand (F
7) (final rolling stand), hi is a strip thickness at the delivery of the rolling stand
(F
i), and h
7 is a strip thickness at the delivery of the rolling stand (F
7) (final rolling stand).
[0047] Subsequently, the control reference setup section 11 calculates the roll speeds in
the respective rolling stands 61 from the strip speeds Vs
i at the deliveries of the respective rolling stands 61, using the concept of a forwarding
slip. Here, the forwarding slip is a value that corresponds to a ratio of circumferential
speeds of the work rolls 62 to the delivery speeds of the strip 63 to be rolled in
the work rolls 62. For example, it has been known that the forwarding slip f is expressed
as a function of a plurality of parameters as shown in the following formula (3) (for
details, refer to the above-mentioned literature "Theory and Practice of Strip Rolling").

where H is an entry strip thickness, h is an delivery strip thickness, R' is a deformed
roll diameter, Kf is deformation resistance, tb is entry tension, and tf is delivery
tension.
[0048] Therefore, if a forwarding slip f
i in an i-th rolling stand 61 (Fi) is used, a roll speed Vr
i in the rolling stand 61 (Fi) can be calculated by the following formula (4), using
the strip speed Vs
i at the delivery of the rolling stand (Fi).

[0049] Moreover, the control reference setup section 11 calculates roll force prediction
values P in the respective rolling stands 61 (Step S16). As described in detail in
the above-mentioned literature "Theory and Practice of Strip Rolling", for example,
it has been known that a formula for calculating the roll force prediction value P
is expressed as a function of a plurality of parameters such as the following formula
(5).

where w is a strip width, Kf is deformation resistance, Qp is a draft force function,
µ is a friction coefficient, tb is entry tension, tf is delivery tension, H is an
entry strip thickness, h is an delivery strip thickness, and R' is a deformed roll
diameter.
[0050] Incidentally, divergence is generated between the roll force prediction value P calculated
by the formula (5) and a roll force applied to in actual rolling. Therefore, in order
to reduce the divergence and raise accuracy of the roll force prediction value P,
a roll force which is obtained by multiplying the roll force prediction value P calculated
by the formula (5) by a suitable compensation coefficient (referred to as a roll force
compensation value in this application) is employed as an actual roll force. A detailed
explanation of the calculation of this compensation coefficient will be provided in
description of processing by the roll force compensation value calculation section
16 (refer to Fig. 9).
[0051] Finally, the control reference setup section 11 calculates screw-down positions (roll
gaps) of the work rolls 62 in the respective rolling stands 61 (Step S17). Incidentally,
the screw-down position S of the work roll 62 can be basically found by the following
formula (6). However, practically, various supplementary terms are often added.

where P is a roll force prediction value, K is a mill spring-constant, and h is an
delivery strip thickness.
[0052] As described above, the control reference setup section 11 outputs control references
for the screw-down position and the roll speed, which are calculated with respect
to the strip 63 to be rolled from now, to the screw-down position control section
17 and the roll speed control section 18. The screw-down position control section
17 executes the screw-down control with respect to the control reference of the screw-down
position, which the control reference setup section 11 outputs, in such a manner that
the screw-down positions of the work rolls 62 become a value pursuant to the control
reference. Similarly, the roll speed control section 18 executes the speed control
with respect to the control reference of the roll speed, which the control reference
setup section 11 outputs, in such a manner that the roll speeds of the work rolls
62 become a value pursuant to the control reference.
[0053] While the processing in the control reference setup section 11 which has been described
are executed with respect to the strip 63 to be rolled from now, processing in the
inter-stand strip thickness calculation section 13, the roll force prediction error
calculation section 14, the roll force balance consistency value calculation section
15, and the roll force compensation value calculation section 16 is executed utilizing
various rolling actual values acquired through the rolling, at a timing as the rolling
is finished. In this application, rolling to be executed in the processing is hereinafter
referred to as the said rolling, and a strip 63 to be produced in the said rolling
is hereinafter referred to as the said strip 63.
[0054] Fig. 5 is a view illustrating an example of a processing flow of processing which
the inter-stand strip thickness section 13 executes. As shown in Fig. 1, the multi
gauge 64 is disposed only at the delivery of the final rolling stand 61 (F
7) and is not disposed at a midway stage of the respective rolling stands 61 (F
1 to F
7). Therefore, the inter-stand strip thickness calculation section 13 estimates the
strip thickness of the said strip 63 at an intermediate position of the respective
rolling stands 61 (F
1 to F
7) (hereinafter referred to as an inter-stand strip thickness).
[0055] Incidentally, the inter-stand strip thickness t
i at the intermediate position between the rolling stand 61 (F
i) and the rolling stand 61 (F
i+1) (i = 1 to 6) shall be same as an entry strip thickness t
i+1 at the rolling stand 61 (F
i+1) in the following explanation. Moreover, in a case where a detector that detects
a strip thickness of the roughing bar 65 is not provided, a strip thickness to of
the roughing bar 65 (i.e., an entry strip thickness at the rolling stand 61 (F
1) is also estimated
[0056] Therefore, as shown in Fig. 5, the inter-stand strip thickness calculation section
13 first acquire, via the rolling results collection section 12, an delivery strip
thickness t
7, detected by the multi gauge 64 disposed at the delivery of the final rolling stand
61 (F
7), and the roll speeds Vr
1 to Vr
7 of the work rolls 62 in the respective rolling stands 61 (F
1 to F
7) (Step S21).
[0057] Next, the inter-stand strip thickness estimation section 13 estimates an entry strip
thickness t
6 from the delivery strip thickness t
7 at the rolling stand 61 (F
7) on the basis of a so-called constant mass-flow theory (Step S22). Here, the mass
flow constant regulation means that the product of the delivery strip thickness ti
and an delivery strip speed Vs
i at the rolling stand 61 (F
i) becomes equal to the product of an entry strip thickness and an entry strip speed
(in short, an delivery strip thickness t
i-1 and an delivery strip speed Vs
i-1) at the rolling stand 61 (F
i-1).
[0058] In other words, the inter-stand strip thickness calculation section 13 calculates
the entry strip thickness t
6 at the rolling stand 61 (F
7) on the basis of the following formula (7). Incidentally, this entry strip thickness
t
6 corresponds to the inter-stand strip thickness t
6 between the rolling stand 61 (F
6) and the rolling stand 61 (F
7).

where t
7 is the delivery strip thickness at the rolling stand (F
7), V
7 is the roll speed of the work roll at the rolling stand (F
7) (circumferential speed), f
7 is the forwarding slip of the rolling stand (F
7), V
6 is the roll speed of the work roll at the rolling stand (F
6) (circumferential speed), and f
6 is the forwarding slip of the rolling stand (F
6).
[0059] Incidentally, the forwarding slips f
6, f
7 are calculated by the control reference setup section 11 according to the formula
(3) prior to rolling of the said strip 63. Since the forwarding slips f
6, f
7 are estimated and calculated, utilizing the formula (3), a value to be calculated
includes a certain error. Therefore, the entry strip thickness t
6 that is calculated utilizing the forwarding slips f
6, f
7 also includes an error.
[0060] The inter-stand strip thickness t
6 between the rolling stand 61 (F
6) and the rolling stand 61 (F
7) are estimated as discussed above, and this inter-stand strip thickness t
6 is also the delivery strip thickness t
6 at the rolling stand 61 (F
6). Therefore, similarly to the Step S22, the inter-stand strip thickness calculation
section 13 estimates an entry strip thickness t
5 at the rolling stand 61 (F
6) from the delivery strip thickness t
6 at the rolling stand 61 (F
6) (Step S23).
[0061] Similarly to the above, the inter-stand strip thickness calculation section 13 estimates
an entry strip thickness t
4 at the rolling stand 61 (F
5) (Step S24), estimates an entry strip thickness t
3 at the rolling stand 61 (F
4) (Step S25), estimates an entry strip thickness t
2 at the rolling stand 61 (F
3) (Step S26), estimates an entry strip thickness t
1 at the rolling stand 61 (F
2) (Step S27), and further estimates an entry strip thickness to at the rolling stand
61 (F
1) (Step S28). Incidentally, the entry strip thickness to corresponds to the strip
thickness to of the roughing bar 65.
[0062] Though the example in which the entry strip thicknesses at the respective rolling
stands 61 are in turn found from the downstream rolling stand has been discussed above,
they may be also calculated at one time from a relationship among the measured rolling
stand 61 (F
7), the forwarding slip f
7 of the rolling stand 61 (F
7), and the forwarding slips f
i and roll speeds Vri of the respective rolling stands 61 (F
i).
[0063] Fig. 6 is a view illustrating an example of a processing flow of processing which
the roll force prediction error calculation section 14 executes. As shown in Fig.
6, the roll force prediction error calculation section 14 first selects one of the
seven rolling stands 61 (F
1 to F
7) (Step S31). In this case, though the order of the selection is not especially limited,
for example, the selection may be performed in turn from the upstream rolling stand
61.
[0064] Next, the roll force prediction error calculation section 14 acquires, via the rolling-results
collection section 12, an actual roll force at the selected rolling stand 61 (Step
S32). Moreover, the roll force prediction error calculation section 14 acquires the
entry strip thickness and delivery strip thickness at the selected rolling stand 61
from the inter-stand strip thickness calculation section 13, and calculates an estimated
roll force at the rolling stand 61 according to the above formula (5) (Step S33).
[0065] Incidentally, in the calculation by the formula (5), as the delivery tension tf and
the entry tension tb which can be directly measured, actual values which are measured
are directly used. Also, calculation formulas for the width w, the deformation resistance
Kf, the roll force force function Qp, the deformed roll diameter R', and the friction
coefficient µ are described in the above-mentioned literature "Theory and Practice
of Strip Rolling" and the like. According to the formulas, they are calculated on
the basis of actual values of various detectors which are acquired via the rolling-results
collection section 12. At this time, calculation of the strip width w and the deformation
resistance Kf further requires rolling temperature and, as the rolling temperature,
temperature is used which is estimated on the basis of a value that is detected by
a temperature detector (not shown in Fig. 1), considering a distance between an installation
position of the temperature detector and the said rolling stand 61, and the like.
[0066] Next, the roll force prediction error calculation section 14 calculates a roll force
prediction error that is a ratio of the actual roll force acquired in Step S32 to
the estimated roll force estimated in Step S33 (Step S34). In other words, a roll
force prediction error Zpli of the rolling stand 61 (F
i) is calculated according to the following formula.

where Pa
i is an actual roll force at the rolling stand (F
i), and Ps
i is an estimated roll force based on various actual values at the rolling stand (F
i).
[0067] Next, the roll force prediction error calculation section 14 determines whether or
not the processing calculating the roll force prediction errors Zpli with respect
to all rolling stands 61 (F
1 to F
7) is ended (Step S35) and, unless the processing is ended ("No" in Step S35), repeatedly
executes the processing in Step S31 and the subsequent Steps. Moreover, if the processing
calculating the roll force prediction errors Zpli with respect to all rolling stands
61 (F
1 to F
7) has been ended ("Yes" in Step S35), the processing calculating the roll force prediction
errors Zpli with respect to the said strip 63 is ended.
[0068] Fig. 7 is a view illustrating an example of a processing flow of processing which
the roll force balance consistency value calculation section 15 executes. Meanwhile,
in the control reference setup section 11, the roll force prediction values P in the
respective rolling stands 61 are calculated with respect to a strip 63 to be next
rolled. In order to raise the prediction accuracy, processing compensating the calculated
roll force prediction values P is executed. At that time, the roll force prediction
errors Zpli can be directly used as a roll force compensation value. However, the
roll force prediction error Zpli is calculated per rolling stand 61, so that there
is a case where they vary considerably among the plurality of rolling stands 61. As
a result, the degree of compensation of the roll force prediction values P in the
respective rolling stands 61 also varies.
[0069] The compensated roll force prediction values P are actually used in calculation of
the roll forces in the respective rolling stands 61, namely, in calculation of the
screw-down positions. Therefore, even if the roll force prediction values P are compensated,
if a variation is left between neighboring rolling stands 61, a problem that balance
may be lost due the variation occurs. Therefore, in processing by the roll force balance
consistency value calculation section 15 which will be explained hereinafter, a value
for suppressing collapse of the balance between the neighboring rolling stands 61
(hereinafter referred to as a roll force balance consistency value) is calculated.
[0070] As shown in Fig. 7, the roll force balance consistency value calculation section
15 first selects one 61 (F
i) of the seven rolling stands 61 (F
1 to F
7) (Step S41). In this case, though the order of the selection is not especially limited,
for example, the selection may be in turn performed from the upstream rolling stand
61.
[0071] Next, the roll force balance consistency value calculation section 15 acquires a
roll force prediction error Zpli of the selected rolling stand 61 (F
i) from the processing-results in the roll force prediction error calculation section
14 (Step S42), and acquires a roll force prediction error Zpl
i-+1 of the neighboring rolling stand 61 (F
i-1, F
i+1) (Step S43). Here, the neighboring rolling stands 61 (F
i-1, F
i+1) mean the rolling stand 61 (F
i-1) on the upstream of the rolling stand (F
i) and the rolling stand 61 (F
i+1) on the downstream of the rolling stand (F
i).
[0072] Incidentally, understandably, a rolling stand 61 which is neighboring to the upmost
stream side rolling stand 61 (F
1) is the rolling stand 61 (F
2) only. Also, a rolling stand 61 which is neighboring to the downmost stream side
rolling stand 61 (F
7) is the rolling stand 61 (F
6) only. Though these exceptions exist upmost stream and downmost stream, the rolling
stand 61 which is neighboring to the rolling stand 61 (F
1) is indicated as the rolling stand 61 (F
i-1, F
i+1) in this application.
[0073] Next, the roll force balance consistency value calculation section 15 calculates
a roll force balance consistency value Zplb
i of the selected rolling stand 61 according to the following formula (9), for example.

where Zpl
i is the roll force prediction error, and α is the roll force balance ratio.
[0074] In accordance with the formula (9), the roll force balance consistency value Zplb
i is equivalent to an average of differences between the roll force prediction error
Zpli of the rolling stand 61 (F
i) and the roll force prediction errors Zpl
i-1, Zpl
i+1 of the rolling stands (F
i-1, F
i+1) neighboring thereto. Therefore, when the roll force prediction error Zpli of the
rolling stand 61 (Fi) is larger than the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1), the roll force balance consistency value Zplb
i becomes a negative value. Also, when the roll force prediction error Zpli of the
rolling stand 61 (Fi) is smaller than the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1), the roll force balance consistency value Zplbi becomes a positive value. Moreover,
when the roll force prediction error Zpl
i of the rolling stand 61 (Fi) is substantially same to the roll force prediction errors
Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1), the roll force balance consistency value Zplbi becomes a value close to 0 (zero).
[0075] Next, the roll force balance consistency value calculation section 15 determines
whether or not the processing calculating the roll force balance consistency values
Zplbi with respect to all rolling stands 61 (F
1 to F
7) is ended (Step S45) and, unless the processing is ended ("No" in Step S45), repeatedly
executes the processing in Step S41 and the subsequent Steps. Moreover, if the processing
calculating the roll force balance consistency values Zplbi with respect to all rolling
stands 61 (F
1 to F
7) has been ended ("Yes" in Step S45), the processing calculating the roll force balance
consistency values Zplbi with respect to the said strip 63 is ended.
[0076] In the formula (9), the roll force balance ratio α is a parameter that indicates
how much ratio of compensation for the roll force prediction error Zpli to consistency
of the roll force balance are to be balanced. The roll force balance ratio α is sored
in the roll force balance ratio storage section 23. This roll force balance ratio
α becomes a value between 0 and 1 and indicates that the consistency of the roll force
balance is not consider when it is 0. On the other hand, when α is 1, the consistency
of the roll force balance is maximally considered. At this time, the roll force balance
consistency value Zplb
i is considered with a ratio equivalent to the roll force prediction error Zpl
i.
[0077] Fig. 8 is view illustrating an example of a configuration of a roll force balance
ratio table 231 which is stored in the roll force balance ratio storage section 23.
As shown in Fig. 8, the roll force balance ratio table 231 is configured by values
of the roll force balance ratio α which are categorized by the steel grade, target
strip thickness, target strip width, etc. of the strip 63 to be rolled. For example,
when the steel grade is SS400, the target strip thickness is 2.0 to 3.0 mm, and the
target strip width is 1000 mm or less, the roll force balance ratio α is 1.0. Also,
when the steel grade is SS400, the target strip thickness is 12.0 mm, and the target
strip width is 1400 mm or more, the roll force balance ratio α is 0.4.
[0078] Fig. 9 is a view illustrating an example of a processing flow of processing which
the roll force compensation value calculation section 16 executes. Utilizing the roll
force prediction error Zpli calculated in the roll force prediction error calculation
section 14 and the roll force balance consistency value Zplbi calculated in the roll
force balance consistency value calculation section 15, the roll force compensation
value calculation section 16 calculates roll force compensation values (a first roll
force compensation value and a second roll force compensation value that will be hereinafter
referred to) to be used when accuracy of the roll force prediction value which the
control reference setup section 11 predicts is raised.
[0079] As shown in Fig. 9, the roll force compensation value calculation section 16 first
selects one of the seven rolling stands 61 (F
1 to F
7) (Step S51). In this case, though the order of the selection is not especially limited,
for example, the selection may be in turn performed from the upstream rolling stand
61.
[0080] Next, the roll force compensation value calculation section 16 acquires the roll
force prediction error Zpli of the selected rolling stand 61 (Fi) from the processing-results
in the roll force prediction error calculation section 14 (Step S52) and further acquires
the roll force balance consistency value Zplbi of the selected rolling stand 61 (Fi)
from the processing-results in the roll force balance consistency value calculation
section 15 (Step S53).
[0081] Moreover, the roll force compensation value calculation section 16 calculates the
first roll force compensation value Zpni corresponding to the said strip 63 in the
selected rolling stand 61 (Fi) in accordance with the following formula (10) (Step
S54).

where Zpni is the first roll force compensation value, Zpli is a roll force prediction
error, and Zplbi is the roll force balance consistency value.
[0082] As described above, the roll force balance consistency value Zplbi is equivalent
to an average of differences between the roll force prediction error Zpli of the rolling
stand 61 (Fi) and the roll force prediction errors Zpl
i-1, Zpl
i+1 of the rolling stands (F
i-1, F
i+1) neighboring thereto. Therefore, when the roll force prediction error Zpl
i of the rolling stand 61 (F
i) is larger than the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1), the roll force balance consistency value Zplb
i becomes a negative value. In accordance with the formula (10), the first roll force
compensation value Zpn
i is found by adding the roll force balance consistency value Zplbi to the roll force
prediction error Zpl
i, so that the first roll force compensation value Zpni becomes smaller than the roll
force prediction error Zpl
i.
[0083] On the other hand, when the first roll force compensation values Zpn
i-1, Zpn
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1) are calculated, a relatively large roll force prediction error Zpli of the rolling
stand 61 (Fi) acts, so that the first roll force compensation values Zpn
i-1, Zpn
i+1 of the rolling stands 61 (F
i-1, F
i+1) become larger than the roll force prediction errors Zpl
i-1, Zpl
i+1.
[0084] In other words, a value of the first roll force compensation values Zpn
i, Zpn
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1) whose roll force prediction errors Zpl
i-1, Zpl
i+1 are relatively small reduces. In contrast, a value of the first roll force compensation
value Zpni of the rolling stand 61 (F
i) whose roll force prediction error Zpl
i is relatively large relative to the neighboring rolling stands 61 (F
i-1, F
i+1) increase. As a result, between the rolling stand 61 (Fi) and the neighboring rolling
stands 61 (F
i-1, F
i+1), variations in the first roll force compensation values Zpn
i, Zpn
i+1, Zpl
i+1 thereof are reduced. This means that roll force balance between a certain rolling
stand 61 (F
i) and the neighboring rolling stands 61 (F
i-1, F
i+1) is maintained.
[0085] The case where the roll force prediction error Zpli of the rolling stand 61 (F
1) is larger than the average of the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1) and the roll force balance among the rolling stands 61 (F
i-1, F
i, F
i+1) is improved has been described, and vice versa. That is, in a case where the roll
force prediction error Zpli of the rolling stand (F
1) is smaller than the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1), roll force balance between the rolling stand 61 (F
1) and the neighboring rolling stands 61 (F
i-1, F
i+1) is also maintained
[0086] Moreover, when the roll force prediction error Zpli of the rolling stand 61 (F
i) is substantially equal to the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1), the roll force balance consistency value Zplbi becomes a value close to 0, so that
the first roll force compensation value Zpn
i becomes a substantially same value as the roll force prediction error Zpl
i. In this case, it can be said that the roll force balance between the rolling stand
61 (F
1) and the neighboring rolling stands 61 (F
i-1, F
i+1) is naturally maintained.
[0087] Subsequently, returning to the explanation of the processing flow of Fig. 9, Fig.
10 is explained. In Fig. 9, the roll force compensation value calculation section
16 acquires, as processing subsequent to Step S54, a roll force compensation actual
value Zpp
i, that corresponds to the previous rolling results of the rolling stand 61 (F
1) selected in Step S51, from the roll force compensation actual value storage section
24 (Step S55).
[0088] Fig. 10 is a view illustrating an example of a configuration of a roll force compensation
actual value table 241 which is stored in the roll force compensation actual value
storage section 24. As shown in Fig. 10, the roll force compensation actual value
table 241 is configured by roll force compensation actual values Zpp
i of the respective rolling stands 61 (F
i) that are categorized by the steel grade, target strip thickness, target strip width,
etc. of the said strip 63. Here, the roll force compensation actual value Zpp
i is a value that stores the second roll force compensation values Zp
i of the respective rolling stands 61 (Fi) which are outputted to the control reference
setup section 11 from the roll force compensation value calculation section (refer
to Step 56) when the strips 63 belonging to the respective categories are rolled in
the past. For example, in the example of Fig. 10, in the event of a strip 63 whose
steel grade is SS400 and whose target strip thickness is 1.6mm or less, the roll force
compensation actual values Zpp
i which respectively corresponds to 1.11, 1.08, 0.94, 0.98, 1.04, 0.99, and 1.03.
[0089] Moreover, as shown in Fig. 9, utilizing the first roll force compensation value Zpni
calculated in Step S54 and the roll force compensation actual value Zpp
i calculated in Step S54, the roll force compensation value calculation section 16
calculates, as processing subsequent to Step S55, a second roll force compensation
value Zp
i with respect to the rolling stand 61 (F
i) selected in Step S51 in accordance with the following formula (11), and output the
calculated second roll force compensation value Zp
i to the control reference setup section 11 (Step S56).

where Zp
i is the second roll force compensation value of the rolling stand (F
i), Zpni is the first roll force compensation value of the rolling stand (F
i), Zpp
i is the roll force compensation actual value of the rolling stand (F
i), and β is a distribution coefficient.
[0090] Incidentally, the distribution coefficient β is a coefficient that, when the second
roll force compensation value Zpi of the rolling stand 61 (Fi) is calculated, determines
a distribution ratio between the roll force compensation actual value Zpp
i based on the previous rolling results stored in the roll force compensation actual
value storage section 24, and the first roll force compensation value Zpn
i calculated in connection with rolling of the strip 63 in the immediate past (hereinafter,
the immediate past means the closest past), and becomes a value between 0 and 1. That
is, when the distribution coefficient β is 0, the first roll force compensation value
Zpni estimated in connection with rolling of the said strip 63 is ignored and the
second roll force compensation value Zp
i is determined according to the roll force compensation actual value Zpp
i based on the previous rolling results stored in the roll force compensation actual
value storage section 24.
[0091] In contrast, when the distribution coefficient β is 1, the roll force compensation
actual value Zpp
i based on the previous rolling results is ignored and the second roll force compensation
value Zp
i is determined according to the first roll force compensation value Zpni estimated
in connection with rolling of the said strip 63. Moreover, when the distribution coefficient
β is an intermediate value between 0 and 1 (0< β <1), the first roll force compensation
value Zpni and the roll force compensation actual value Zpp
i are proportionally distributed with a ratio according to the value of the distribution
coefficient β and the second roll force compensation value Zp
i is determined. For example, when β = 0.5, the first roll force compensation value
Zpni and the roll force compensation actual value Zpp
i are proportionally distributed with the same ratio and the second roll force compensation
value Zp
i is determined.
[0092] Moreover, as shown in Fig. 9, the roll force compensation value calculation section
16 causes the second roll force compensation values Zpi of the rolling stand 61 which
it calculates in Step S56 and outputs to the control reference setup section 11, to
be stored in the roll force compensation actual value storage section 24 as the roll
force compensation actual values Zpp
i of the rolling stand 61 (F
i) which it selects in the category to which the said strip 63 belongs (Step S57).
[0093] Subsequently, the roll force compensation value calculation section 16 determines
whether or not the processing from the Step S51 to the Step S57 in connection with
all rolling stands 61 (F
1 and F
7) has been ended (Step S58) and, unless the processing has been ended ("No" in Step
S58), repeatedly executes the processing in Step S51 and the subsequent Steps. Also,
if the processing from the Step S51 to the Step S57 in connection with all rolling
stands 61 (F
1 to F
7) has been ended ("Yes" in Step S58), the processing that calculates the second roll
force compensation value Zp
i and the like and is shown in Fig. 9 is ended.
[0094] The second roll force compensation value Zp
i that is calculated as discussed above and outputted to the control reference setup
section 11 is used for improving the prediction accuracy of the roll force prediction
value P in the control reference setup section 11. In other words, in Step S16 of
the processing flow of Fig. 2, the control reference setup section 11 calculates the
roll force prediction value P in accordance with the formula (5) and, when receiving
the second roll force compensation value Zp
i from the roll force compensation value calculation section 16, compensates the roll
force prediction value P, estimated utilizing the formula (5), by the second roll
force compensation value Zp
i.
[0095] In other words, the control reference setup section 11 calculates a roll force setting
value Pseti for calculation of the screw-down position references and the like with
respect to the respective rolling stands 61 (F
i), in accordance with the following formula (12).

where w
i, Kfi, Qp
i, tfi, tb
i, R'i, H
i, hi, and µ
i are the strip width of the strip 63 in the respective rolling stands 61 (F
i), the deformation resistance, the draft force function, the entry tension, the delivery
tension, the deformed roll diameter, the entry strip thickness, the delivery strip
thickness, and the friction coefficient, respectively.
[0096] Therefore, even if a variation in the roll force prediction value P calculated according
to the formula (5) is generated, between the actual rolling stand 61 (F
i) and the neighboring rolling stands 61 (F
i-1, F
i+1), a variation in the roll force setting value Pseti that is supplied to the actual
rolling stand 61 (F
i) via the screw-down position control section 17 (refer to Fig. 1) and the like is
reduced. Therefore, the roll force balance among the plurality of rolling stands 61
(F
i) is prevented from collapsing. That is, the roll force balance is maintained.
[0097] Incidentally, in the embodiment described above, the roll force balance ratio α is
used in the calculation in the roll force balance consistency value calculation section
15 (refer to the formula (9). However, after removing α from the formula (9), the
following formula (13) is substituted for the formula (10) and may be used in the
processing in the roll force compensation value calculation section 16.

where Zpn
i is the first roll force compensation value, Zpli is the roll force prediction error,
and Zplbi is the roll force balance consistency value.
[0098] As discussed above, according to the embodiment of the present invention, the roll
force balance consistency values Zplbi of the respective rolling stands 61 (Fi) are
calculated depending upon the magnitude relationship between the roll force prediction
error Zpli in the rolling stand 61 (Fi) and the roll force prediction errors Zpl
i-1, Zpl
i+1 in the neighboring rolling stands 61 (F
i-1, F
i+1) (refer to the formula (9)). In that case, if the roll force prediction error Zli
in the rolling stand 61 (Fi) is larger than the roll force prediction errors Zpl
i-1, Zpl
i+1 in the neighboring rolling stands 61 (F
i-1, F
i+1), the balance consistency value Zplbi becomes a negative value. Also, in the event
of the contrary case, it becomes a positive value. In other words, the first roll
force compensation value Zpn
i that is obtained by adding the roll force balance consistency value Zpibi to the
roll force prediction error Zpli (refer to the formula (10)) results in suppression
of the variation in the roll force prediction error Zpli.
[0099] Moreover, by performing a learning process to the first roll force compensation value
Zpni, the second roll force compensation value Zp
i (refer to the formula (11)) is found. By using the second roll force compensation
value Zp
i, the roll force setting value Pset
i that is actually set to the rolling stand 61 (Fi) is calculated (refer to the formula
(12)). Therefore, even if any variation in the roll force prediction value Pi is generated,
the variation is suppressed in the roll force setting value Pseti. Therefore, in the
embodiment of the present invention, the problem that the roll force balance among
the plurality of rolling stands 61 (F
i) collapses is prevented from occurring.
[0100] Moreover, in the embodiment of the present invention, the roll force compensation
value (the second roll force compensation value Zpp
i) of the rolling stand 61 (Fi) is basically determined, depending only upon the magnitude
relationship of the roll force prediction error Zpli of the rolling stand 61 (Fi)
and the roll force prediction errors Zpl
i-1, Zpl
i+1 of the neighboring rolling stands 61 (F
i-1, F
i+1). Therefore, it is unnecessary to configure the roll force error change model like
the one disclosed in Patent Literature 3, for example. Namely, in the embodiment of
the present invention, an effect of allowing the roll force balance consistency among
the plurality of rolling stands 61 (F
i) with simple processing is expected. Moreover, while the roll force error change
model disclosed in, for example, the Patent Literature 3 is a linear model, the variation
of the roll force prediction error Zpli in the embodiment of the present invention
is not limited to the linear model and can respond to various variation modes.
[0101] Therefore, in the tandem rolling mill control device 10 according to the embodiment
of the present invention, when prior to rolling of the strip 63, the roll forces in
the respective rolling stands 61 (Fi) that roll the strip 63 to a desired strip thickness
are predicted, it is possible to estimate the roll forces with high accuracy, using
simple calculation processing and considering the roll force balance among the plurality
of rolling stands 61 (F
i). As a result, the strip which has a thickness with higher accuracy can be obtained,
and the rolling can be stabilized.
(Second Embodiment)
[0102] Fig. 11 is a view illustrating an example of a configuration of a tandem rolling
mill control device 10a according to a second embodiment of the present invention.
The configuration of the tandem rolling mill control device 10a according to the second
embodiment is different from that of the tandem rolling mill control device 10 of
Fig. 1 in that it further includes a steel grade-similarity calculation section 31,
a distribution coefficient calculation section 32, and a similarity-number storage
section 35 which are newly added. Only this difference will be explained hereinafter.
Incidentally, components which are similar to those of the tandem rolling mill control
device 10 of Fig. 1 are denoted by like reference signs.
[0103] In the tandem rolling mill control device 10a according to the second embodiment,
a function is added in which the distribution coefficient α used in the formula (11)
is made variable according to similarity numbers of strips 63 rolled one after the
other. Namely, regarding the steel grade of a strip 63 to be rolled in the immediate
past and the steel grade of a strip 63 to be next rolled, the steel grade-similarity
calculation section 31 refers to the similarity-number storage section 35 to acquire
their similarity-numbers and outputs them to the distribution coefficient calculation
section 32. The distribution coefficient calculation section 32 calculates the distribution
coefficient β on the basis of the similarity-numbers of the last and next strips 63,
which it acquires from the steel grade-similarity calculation section 31, and outputs
the distribution coefficient β to the roll force compensation value calculation section
16. In the processing of Step S56, the roll force compensation value calculation section
16 executes the calculation of the formula (11) using the distribution coefficient
β which it receives from the distribution coefficient calculation section 32.
[0104] Fig. 12 is a view illustrating an example of a processing flow of processing which
the steel grade-similarity calculation section 31 executes. Also, Fig. 13 is a view
illustrating an example of a similarity-number table 351 which is stored in the similarity-number
storage section 35. As shown in Fig. 13, the similarity-number table 351 is configured
by defining similarity-numbers with respect to the respective steel grades of the
strips 63. Here, the closer the similarity-numbers of the steel grades of the strips
63 are, the further similar the properties of the strips 63 such as deformation resistance
and the like are, and the further away the similarity-numbers are, the properties
of the strips 63 are different.
[0105] For example, in the example of Fig. 13, the similarity-number of a strip 63 whose
steel grade is SS400 is 4 and the similarity-number of a strip 63 whose steel grade
is SS490 is 5. Therefore, it can be said that these steel plats 63 are very close
in similarity of steel grades thereof. On the other hand, the similarity-number of
a strip 63 whose steel grade is SS400 is 4 and the similarity-number of a strip 63
whose steel grade is SPHC is 2. Therefore, similarity of these strips 63 in steel
grades is not as high as that of the strip 63 whose steel grade is SS400 and of the
strip 63 whose steel grade is 490. Moreover, the similarity-number of a strip 63 whose
steel grade is SS400 is 4 and the similarity-number of a strip 63 whose steel grade
is DP is 25, so that these strips 63 are considerably different in similarity of steel
grades thereof. Therefore, it should be now said that these strips 63 are different
strips.
[0106] Therefore, as shown in Fig. 12, the steel grade-similarity calculation section 31
refers to the similarity-number storage section 35 to acquire a steel grade-similarity
number and a steel grade similarity number which correspond to the steel grade of
a strip 63 rolled in the immediate past and the steel grade of a strip to be next
rolled, respectively (Step S51). Next, a similarity V is calculated from a difference
between the similarity-numbers of the two strips 63 in accordance with the following
formula (14) (Step S52). Incidentally, the smaller the value of the similarity V defined
in the formula (14) is, the larger the similarity is, and the larger the value is,
the smaller the similarity is.

where Vni is the similarity-number of the steel grade of the strip 63 rolled in the
immediate past, and Vn
j is the similarity-number of the steel grade of the strip 63 to be next rolled.
[0107] Next, the steel grade-similarity calculation section 31 outputs the selected similarity
V to the distribution coefficient calculation section 32 (Step S53) and ends the processing.
[0108] Subsequently, the distribution coefficient calculation section 32 calculates the
distribution coefficient β in accordance with the following formula (15), for example.

[0109] Incidentally, when Vc < V, V = Vc, and Vc is a similarity corresponding to β = 0.
[0110] According to the formula (15), the higher the similarity of the strips 63 to be rolled
one after the other is (the similarity V is small), the distribution coefficient β
becomes a value close to 1 and the smaller the similarity is (similarity V is large),
the distribution coefficient β becomes a value close to 0. Moreover, when the similarity
V is larger than Vc, the distribution coefficient β is 0. The calculation of the formula
(11) is performed using this distribution coefficient β.
[0111] The second embodiment which has been discussed above is the example in which the
calculation of the distribution coefficient is concretely performed using the distribution
coefficient β used in the formula (11) and whose effect is substantially identical
to that of the above-mentioned embodiment.
[0112] Moreover, while the tandem rolling mill control devices 10, 10a of the above-mentioned
embodiment and second embodiment of the present invention are applied to hot-rolling,
they can be applied to cold-rolling.
[0113] Incidentally, the present invention is not limited to the above-mentioned embodiments
and includes various modifications. The above-mentioned embodiments have been explained
in detail in order to explain the present invention simply and the present invention
is not necessarily limited to any embodiment with all configurations described above.
Moreover, a portion of a configuration of a certain embodiment can be replaced with
a portion of a configuration of another embodiment. Moreover, addition of a configuration
of a certain embodiment to a configuration of another embodiment is possible.