CN103341503B - Self-adaptation convexity change hot rolled plate shape control model - Google Patents
Self-adaptation convexity change hot rolled plate shape control model Download PDFInfo
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Abstract
A self-adaptation convexity change hot rolled plate shape control model belongs to the technical field of plate and strip hot rolling process analysis and control. The self-adaptation convexity change hot rolled plate shape control model comprises a strip-loaded roller system convexity computation module, a material flatness dead zone computation module, a strip steel convexity range computation module, outlet convexity computation modules of various racks, a roller system convexity self-learning computation module, a target convexity self-learning computation module and a self-adaptation convexity correction computation module. The self-adaptation convexity change hot rolled plate shape control model has the advantages that straightness of hot rolling strip steel is acted as a priority target, ,on the premise that the target convexity is guaranteed, strip steel convexity change of the racks are optimized through self-adaptation convexity correction computation according to rolling parameters provided by a rolling model and with the combination of roller system characteristics of the racks, and therefore under the condition that wide strip steel, narrow strip steel, thin strip steel and thick strip steel are rolled in a mixed mode, strip steel straightness and target convexity control are stable, and the hit rate of strip steel target convexity control is improved.
Description
Technical field
The invention belongs to process of plate belt hot rolling analysis & control technical field, particularly a kind of self adaptation convexity change hot rolled plate shape Controlling model.
Background technology
Along with the development of China's steel and iron industry in recent years, and the continuous increase of the industry requirement such as automobile, machinery, electric power, product structure from wire and rod for the main Strip higher to manufacturing requirements develops.And the control technology of plate shape is the core technology that strip is produced and controlled, it is also one of most important index weighing strip production capacity.Accurate, effective, an adaptable Strip Shape Control Controlling model is necessary condition and the important guarantee of good profile control.
Current people have carried out a large amount of theoretical researches to the control of plate shape and model.Such as " model of hot strip rolling and control " (Sun Yikang writes, 2002, metallurgical industry publishing house) etc., but we find in practice, traditional board-shape control method production product specification and steel grade span larger time, under the prerequisite ensureing glacing flatness, each frame also exists defect to point mixing of regulating of convexity, occur that some frame exists larger adjustment surplus close to limiting value for individual racks roll shifting and roller, the change of operation of rolling ratio convexity is reasonable not, cause the operation of rolling steady not, even occur glacing flatness problem.What is more exists the target convexity situation that finally then must not change final production, has a strong impact on the control situation of target convexity.Only consider the actual condition of production, combination product characteristic and control procedure parameter attribute, carry out feedback and self adaptation ability head it off.
Summary of the invention
A kind of self adaptation convexity is the object of the present invention is to provide to change hot rolled plate shape Controlling model, can according to the condition of production of reality, combination product characteristic and control procedure parameter attribute, under the prerequisite ensureing glacing flatness, in the feasible region that convexity regulates.
The present invention includes band and carry roller system convexity computing module, material flatness dead band computing module, strip profile range computation module, each rack outlet convexity computing module, roller system convexity self study computing module, target convexity self study computing module, self adaptation convexity corrected Calculation module.These modules form a part for second control system jointly, its annexation is as follows: band carry roller system convexity computing module and material flatness dead band computing module separate, jointly be connected to strip profile range computation module, strip profile range computation model calling is in each rack outlet convexity computing module, and the roll shifting roller amount that each frame convexity computing module calculates each frame carries out on-the-spot production execution.Its testing result is applied to self adaptation convexity computing module simultaneously and connects back each rack outlet target convexity computing module; Target convexity self-learning module connects back each rack outlet target convexity computing module by target convexity; The convexity self study computing module connection of roller system rewinds carries a roller system convexity computing module.
Described band carries roller system convexity computing module and provides the parameters such as roll-force by the rolling model outside Strip Shape Control, and in conjunction with roll physical property characteristic, roll shape curve, roller system convexity self study etc., calculate band and carry roller system convexity.
Described material flatness dead band computing module Binding protein carries roller system convexity computing module provides parameter for strip profile range computation module, calculates the convexity scope that band steel may be reached by each frame.
Described each rack outlet convexity computing module is come for each frame distributes outlet convexity by self study revised target convexity combining adaptive convexity corrected Calculation module, thus calculates corresponding roll shifting and roller amount, and carries out produced on-site.
The value of described roller system convexity self study computing module and target convexity self study computing module is by setup algorithm parameter, and convexity, the glacing flatness situation of actual production parameter and Site Detection calculate, and participates in production control next time.
Band carries roller system convexity computing module and provides the parameters such as roll-force by the rolling model outside Strip Shape Control, and in conjunction with roll physical property characteristic, roll shape curve, roller system convexity self study etc., calculate band and carry roller system convexity.The Mathematical Modeling adopted is expressed as follows:
C
L=f
1(F
f,F
b,C
u,Z
C,E,L
c,A)
Wherein, C
lfor band carries roller system convexity, f
1for band carries roller system convexity computing formula, F
ffor roll-force, F
bfor bending roller force, C
ufor unloaded roller system convexity, E is Young's modulus, L
cfor band carries convexity self study parameter, A is characteristic parameter, comprises the comprehensive parameters such as roll footage, radius.
Material flatness dead band computing module be according to roll band steel thickness, width, Young's modulus, interstand tension etc., obtain the scope that material there will not be flatness defects.The Mathematical Modeling adopted is as follows:
BK=f
2(w,t,E,B)
Wherein, BK is material flatness dead band, f
2for material flatness dead band computing formula, w is flakiness ratio, and t is tensile stress between frame, and E is Young's modulus, and B is flatness Dead Zone parameter.
Strip profile range computation module Binding protein carries the result of calculation of roller system convexity computing module and material flatness dead band computing module, calculates the convexity scope that band steel may be reached by each frame.
Each rack outlet convexity computing module is come for each frame distributes outlet convexity by self study revised target convexity combining adaptive convexity corrected Calculation module, thus calculates corresponding roll shifting and roller amount, and carries out produced on-site.
The value of roller system convexity self study computing module and target convexity self study computing module is by setup algorithm parameter, and convexity, the glacing flatness situation of actual production parameter and Site Detection calculate, and participates in production control next time.The Mathematical Modeling adopted is as follows
L
c=f
3(SU,RL,p
c,fl)
L
aim=f
4(SU,RL,p
c,fl)
Wherein, L
cfor roller system convexity self study correction value, f
3for roller system convexity self study correction value computing formula, L
aimfor target convexity self study correction value, f
4for target convexity self study correction value computing formula, SU is setup algorithm parameter, and RL is actual production parameter, p
cthe finish to gauge convexity detected, fl is the glacing flatness detected.
Self adaptation convexity corrected Calculation module calculates and has considered target convexity, band steel flakiness ratio, this sets the outlet convexity of each frame, finish to gauge convexity, glacing flatness, tensile stress between frame, each frame roll shifting and bending roller force, a upper frame self adaptation convexity corrected Calculation value, the Mathematical Modeling of employing is expressed as follows:
Y
I=f(y
-I,p
aim,w,p
c,fl,p
1,…,p
n,t
1,…,t
n,c
1,…c
n,b
1,…b
n)
Wherein, Y
ifor the self adaptation convexity correction value of this frame, f is self adaptation convexity correction value computing formula, y
-Ifor the self adaptation convexity correction value of a upper frame, p
aimfor target convexity, w is flakiness ratio, p
cthe finish to gauge convexity detected, fl is the glacing flatness detected, p
1..., p
nfor each rack outlet convexity of setting, t
1..., t
nfor tensile stress between individual frame, c
1... c
nfor the roll shifting amount of each frame, b
1... b
nfor each frame bending roller force.
Modules is interrelated, composition self adaptation convexity change hot rolled plate shape Controlling model.
Of the present inventionly to be a little, to ensure that the glacing flatness of hot-strip is for priority target, by the rolling parameter that rolling model provides, in conjunction with each breast roll system feature, by self adaptation convexity corrected Calculation, under the prerequisite ensureing target convexity, optimize the change of each frame strip profile, thus when achieving width thin and thick specification mixed rolling, strip profile and flatness and target Crown control stable, improves the hit rate of band steel target Crown control.
Accompanying drawing explanation
Fig. 1 is self adaptation convexity of the present invention change hot rolled plate shape Controlling model framework key diagram.Wherein, band carries roller system convexity computing module 1, material flatness dead band computing module 2, strip profile range computation module 3, each rack outlet convexity computing module 4, and the convexity self study of roller system calculates 5, and the self study of target convexity calculates 6, self adaptation convexity corrected Calculation 7.
Fig. 2 is that strip profile change closes on curve.
Fig. 3 is tinplate convexity hit rate situation of change after this invention of application.
Detailed description of the invention
Embodiment 1:
It is various that Shoudu Iron and Steel Co moves steel 1580mm hot rolling line production product category, same batch of width thin Deformation in thick span is large, in process of production, because raw sheet shape Controlling model lacks the change of self adaptation convexity, arrange in each rack outlet convexity and there is too machinery and irrational place, cause the not steady target convexity even of rolling to produce the phenomenon reset thus, have a strong impact on the control accuracy of target convexity.For this phenomenon, have employed self adaptation convexity of the present invention change hot rolled plate shape Controlling model and improve, outlet convexity arranges more reasonable, and target convexity resets phenomenon and significantly reduces, and almost disappear, Crown control hit rate is improved.
In implementation process, described in summary of the invention, the modules that the change of self adaptation convexity controls is connected into a system, is placed in the level two of whole hot strip rolling.With the thickness wherein produced for 2 ~ 3mm, the narrow Thin Specs tinplate of width 800 ~ 1050 is example, the calculating of manufacturing parameter of first piece of this specification band steel, use the self study correction value of last related data of producing in history and this moment production status value COMPREHENSIVE CALCULATING obtain.The creation data of the first block of band steel obtained, by roller system convexity self study computing module, target convexity self study computing module and self adaptation convexity corrected Calculation module
L
c=f
3(SU,RL,p
c,fl)
L
aim=f
4(SU,RL,p
c,fl)
Y
I=f(y
-I,p
aim,w,p
c,fl,p
1,…,p
n,t
1,…,t
n,c
1,…c
n,b
1,…b
n)
Calculate L
c, L
aim, Y
inew value, wherein L
cparticipate in next block band steel rider system convexity
C
L=f
1(F
f,F
b,C
u,Z
C,E,L
c,A)
Calculating in, obtain new C
l; L
aimbe used for upgrading next block band steel target convexity, Y
ibe used as the self application correction of next block band steel exports convexity.Obtain new band by band steel rider system convexity computing module and carry roller system convexity situation, new flatness dead band is obtained by material flatness dead band computing module, the possible convexity scope of producing band steel is obtained through strip profile range computation module by the calculated value of the two, in conjunction with revised target convexity, the setting value of each rack outlet convexity is obtained by each rack outlet convexity computing module, thus obtain roll shifting and the roller execution amount of model adaptation, the production newly with steel.In process of production, constantly repeat said process, progressively to obtain the optimal processing parameter that this type of band steel is produced.
In the production of continuous 4 months, updating by model, the total length hit rate (± 15 μ) of its Crown control progressively rises to 96.94% by 75.12% of first month, target convexity does not occur again and resets phenomenon.
Claims (7)
1. a self adaptation convexity change hot rolled plate shape Controlling model, it is characterized in that, comprise band and carry roller system convexity computing module, material flatness dead band computing module, strip profile range computation module, each rack outlet convexity computing module, roller system convexity self study computing module, target convexity self study computing module, self adaptation convexity corrected Calculation module; Band carry roller system convexity computing module and material flatness dead band computing module separate, jointly be connected to strip profile range computation module, strip profile range computation model calling is in each rack outlet convexity computing module, and the roll shifting roller amount that each frame convexity computing module calculates each frame carries out on-the-spot production execution; Its testing result is applied to self adaptation convexity computing module simultaneously and connects back each rack outlet target convexity computing module; Target convexity self-learning module connects back each rack outlet target convexity computing module by target convexity; The convexity self study computing module connection of roller system rewinds carries a roller system convexity computing module.
2. Controlling model according to claim 1, is characterized in that,
Described band carries roller system convexity computing module and provides roll-force parameter by the rolling model outside Strip Shape Control, in conjunction with roll physical property characteristic, and roll shape curve, the convexity self study of roller system, calculates band and carries roller system convexity;
Described material flatness dead band computing module Binding protein carries roller system convexity computing module provides parameter for strip profile range computation module, calculates the convexity scope that band steel may be reached by each frame;
Described each rack outlet convexity computing module is come for each frame distributes outlet convexity by self study revised target convexity combining adaptive convexity corrected Calculation module, thus calculates corresponding roll shifting and roller amount, and carries out produced on-site;
The value of described roller system convexity self study computing module and target convexity self study computing module is by setup algorithm parameter, and convexity, the glacing flatness situation of actual production parameter and Site Detection calculate, and participates in production control next time.
3. Controlling model according to claim 1, is characterized in that, described material flatness dead band computing module be according to roll band steel thickness, width, Young's modulus, interstand tension, obtains the scope that material there will not be flatness defects; The Mathematical Modeling adopted is as follows:
BK＝f
2(w,t,E,B)
Wherein, BK is material flatness dead band, f
2for material flatness dead band computing formula, w is flakiness ratio, and t is tensile stress between frame, and E is Young's modulus, and B is flatness Dead Zone parameter.
4. Controlling model according to claim 1, it is characterized in that, strip profile range computation module Binding protein carries the result of calculation of roller system convexity computing module and material flatness dead band computing module, calculates the convexity scope that band steel may be reached by each frame.
5. Controlling model according to claim 1, it is characterized in that, described each rack outlet convexity computing module comes for each frame distributes outlet convexity by self study revised target convexity combining adaptive convexity corrected Calculation module, thus calculate corresponding roll shifting and roller amount, and carry out produced on-site.
6. Controlling model according to claim 1, it is characterized in that, the value of described roller system convexity self study computing module and target convexity self study computing module is by setup algorithm parameter, convexity, the glacing flatness situation of actual production parameter and Site Detection calculate, and participate in production control next time; The Mathematical Modeling adopted is as follows
L
c＝f
3(SU,RL,p
c,fl)
L
aim＝f
4(SU,RL,p
c,fl)
Wherein, L
cfor roller system convexity self study correction value, f
3for roller system convexity self study correction value computing formula, L
aimfor target convexity self study correction value, f
4for target convexity self study correction value computing formula, SU is setup algorithm parameter, and RL is actual production parameter, p
cthe finish to gauge convexity detected, fl is the glacing flatness detected.
7. Controlling model according to claim 1, it is characterized in that, described self adaptation convexity corrected Calculation module calculates and has considered target convexity, band steel flakiness ratio, this sets the outlet convexity of each frame, finish to gauge convexity, glacing flatness, tensile stress between frame, each frame roll shifting and bending roller force, a upper frame self adaptation convexity corrected Calculation value, the Mathematical Modeling of employing is expressed as follows:
Y
I＝f(y
-I,p
aim,w,p
c,fl,p
1,...,p
n,t
1,...,t
n,c
1,...c
n,b
1,...b
n)
Wherein, Y
ifor the self adaptation convexity correction value of this frame, f is self adaptation convexity correction value computing formula, y
-Ifor the self adaptation convexity correction value of a upper frame, p
aimfor target convexity, w is flakiness ratio, p
cthe finish to gauge convexity detected, fl is the glacing flatness detected, p
1..., p
nfor each rack outlet convexity of setting, t
1..., t
nfor tensile stress between individual frame, c
1... c
nfor the roll shifting amount of each frame, b
1... b
nfor each frame bending roller force.
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| CN104785536B (en) * | 2014-01-21 | 2017-06-23 | 宝山钢铁股份有限公司 | A kind of method for suppressing convexity fluctuation at hot-strip watermark point |
| CN103949481B (en) * | 2014-04-23 | 2016-01-13 | 北京科技大学 | Take into account the flatness Discrete control method of Hot Rolling Strip stability and quality |
| CN104043654B (en) * | 2014-06-16 | 2016-01-13 | 北京首钢股份有限公司 | Control method and the device of high grade non-oriented silicon steel finish rolling threading plate shape stability |
| CN105013834B (en) * | 2015-07-20 | 2017-07-25 | 北京首钢股份有限公司 | A kind of finishing stand method of adjustment and roll line control system |
| CN105234187B (en) * | 2015-10-23 | 2017-07-18 | 首钢总公司 | A kind of hot continuous rolling board-shape control method for changing convexity distribution |
| CN105327946B (en) * | 2015-11-11 | 2017-10-03 | 北京首钢股份有限公司 | A kind of shape models feed back the decision method and system of calculating convexity validity |
| CN106055785B (en) * | 2016-05-30 | 2019-07-12 | 北京首钢股份有限公司 | It is a kind of to improve the optimization method for changing first piece of steel strip shape quality of steel grade or specification |
| CN106001131B (en) * | 2016-07-07 | 2017-09-29 | 首钢总公司 | A kind of method for adjusting strip profile adaptation value |
| CN113732073B (en) * | 2020-05-29 | 2023-04-11 | 宝山钢铁股份有限公司 | Correction method for flatness defect of finish rolling outlet strip steel |
| CN115415331B (en) * | 2022-10-10 | 2024-06-14 | 日照钢铁控股集团有限公司 | Hot continuous rolling machine frame outlet strip steel convexity distribution method, system and computing terminal |
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| CN101386030A (en) * | 2007-09-14 | 2009-03-18 | 株式会社日立制作所 | Protuberance shape control device and method of hot rolling tandem type rolling mill |
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Address after: 100041 Shijingshan Road, Shijingshan District, Shijingshan District, Beijing Patentee after: Shougang Group Co. Ltd. Address before: 100041 Shijingshan Road, Shijingshan District, Shijingshan District, Beijing Patentee before: Capital Iron & Steel General Company |
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