CN104384204A - Method for controlling convexity of hot-rolled aluminum plate based on dynamic sectional cooling technique - Google Patents

Method for controlling convexity of hot-rolled aluminum plate based on dynamic sectional cooling technique Download PDF

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CN104384204A
CN104384204A CN201410562045.8A CN201410562045A CN104384204A CN 104384204 A CN104384204 A CN 104384204A CN 201410562045 A CN201410562045 A CN 201410562045A CN 104384204 A CN104384204 A CN 104384204A
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fuzzy
convexity
cooling
convexity deviation
grade
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CN104384204B (en
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邵健
何安瑞
姚驰寰
孙文权
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DESIGN RESEARCH INSTITUTE UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING
University of Science and Technology Beijing USTB
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DESIGN RESEARCH INSTITUTE UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING
University of Science and Technology Beijing USTB
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21B—ROLLING OF METAL
    • B21B37/00—Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/28—Control of flatness or profile during rolling of strip, sheets or plates
    • B21B37/30—Control of flatness or profile during rolling of strip, sheets or plates using roll camber control
    • B21B37/32—Control of flatness or profile during rolling of strip, sheets or plates using roll camber control by cooling, heating or lubricating the rolls

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Abstract

The invention relates to a method for controlling convexity of a hot-rolled aluminum plate based on a dynamic sectional cooling technique. The method comprises the following steps of (1) according to the detection cycle of a convexity instrument, determining the control cycle of dynamic sectional cooling; (2) establishing a fuzzy membership function of convexity deviation, and performing fuzzy processing on the convexity deviation in each control cycle; (3) establishing a fuzzy membership function of convexity deviation change rate, and performing the fuzzy processing on the convexity deviation change rate from the second control cycle; (4) establishing a fuzzy rule table of cooling grade change, forming four combinations by the convexity deviation fuzzy value and the convexity deviation change rate fuzzy value of each control cycle, and respectively calculating the adjusting amount of the cooling grade of each combination; (5) adopting a weighted average method to perform defuzzification on the adjusting amounts of four cooling grades; (6) correcting sectional cooling setting according to the defuzzification results. The method has the advantage that the intra-plate difference control level of the convexity of the hot-rolled aluminum plate is obviously improved.

Description

A kind of hot rolled aluminium convex degree control method based on dynamic segmentation cooling technology
 
technical field:
The present invention relates to machinery and automation on metallurgy, rolling technique, specifically refer to a kind of hot rolled aluminium convex degree control method based on dynamic segmentation cooling technology.
background technology:
Al and Alalloy plate, band, paper tinsel have that quality is light, intensity is high, anti-corrosionly weld, easily process, surface aesthetic and the easy advantage such as recovery and be widely used in the every profession and trade of national economy, as fields such as Aero-Space, packaging, building, household electrical appliances, printing, boats and ships and communications and transportation, the particularly generally use of full-aluminium can, PS plate substrate and aluminium foil, greatly facilitates the fast development of aluminum alloy strip hot continuous rolling production technology and increasing substantially of aluminum alloy strip production capacity.
Convexity is the important quality index of rolling aluminum strip, be defined as the difference of dot thickness and both sides index point (generally getting distance edge 40mm position) thickness average value in Aluminum sheets, also will carry out cold rolling, paper tinsel due to most of hot rolled aluminium to roll, good convexity can ensure plate shape and the rolling stability of subsequent handling.In aluminum plate hot rolling, the Main Means controlling convexity has bending roller force, roll forming, sharing of load, working roll sub-sectional cooling etc.Compare with iron and steel, the pure rolling time of hot rolled aluminium is longer, and for this reason, the thermal forming change of roll obviously, controls thermal forming by sub-sectional cooling, and then control convexity is widely used in hot rolled aluminium.
Be the schematic diagram of working roll sub-sectional cooling as depicted in figs. 1 and 2, a spray beam has some row's nozzles, each nozzle can carry out independent switch flow-control, the wherein general arranged in rows of entrance side nozzle, row's nozzle near roll gap place is often opened, based on Cooling and Lubricator, its continuity, uniformity of spraying directly affects that roll glues aluminium state, nip state and surface quality of strips etc.Nozzle in addition acts on working roll as sub-sectional cooling, is a kind of important means of Crown control.It determines the cross direction profiles of cooling water along the nozzle that the body of roll is axial arranged by switch, thus change the thermal expansion of each cooling section of working roll, reaches the object controlling to roll rear band convexity.The magnetic valve of Control Nozzle has out and closes two kinds of working methods, and definition 2s is a work period, if the cycle inner nozzle magnetic valve standard-sized sheet of 2s, it is 10 grades that grade is sprayed in definition, if 1.8s opens, 0.2s closes, then spraying grade is 9 grades, the rest may be inferred, realized the different distributions of horizontal flow by duty ratio of time, wherein highest ranking is 10 grades, is standard-sized sheet, the lowest class is 0 grade, is complete shut-down.
Usually, according to different hot rolled aluminium alloys, set an initial refrigerating mode based on second-degree parabola before the rolling, such as: mild alloy draught pressure is little, and roll deflection is little, convexity is not easy to set up, generally take cooling grade broad in the middle, (as Fig. 3, certain 2600mm aluminium hot-rolling mill, spray beam has narrowing toward each end 38 nozzles, cooling during rolling grade 10, edge cooling grade 8), make in the middle of thermal expansion of the working roll little, obtain target convexity; Hard alloy then draught pressure is large, and roll deflection is large, and convexity is easily bigger than normal, and little in the middle of general employing cooling grade, both sides are large, make working roll broad in the middle, obtain target convexity.When profile gauge detects convex value, the deviation of actual convexity and target convexity, the setting of dynamic corrections sub-sectional cooling, ensures good section configuration.
At present, sub-sectional cooling dynamic control technology is more in cold rolling middle utilization, in cold rolling, be equipped with contact plate profile instrument, can detect the potential of strip or explicit shape wave, by the one-to-one relationship of cooling jet position and shape wave position, the jet mode of dynamic adjustments spray beam.As the fuzzy control of document 1(plate shape sub-sectional cooling, Anshan iron and steel plant technology, 1st phase in 2009) based on the one-to-one relationship of spray beam and shape wave, propose and adopt fuzzy control technology to control cold rolling sub-sectional cooling, the emulsion section cooling control method of document 2(singlestandmill working roll, granted patent, 201110310664.4) be also one-to-one relationship based on spray beam and shape wave, cold rolling sub-sectional cooling is controlled, document 3(control method of tandem cold rolling mill emulsion section cooling, granted patent, 200810200730.0), document 4(is based on fuzzy hyperbolic model cold rolling mill work roller emulsion section cooling control method, application is open, 201310379194.6) also substantially identical with the starting point of document 2, it is all the deviation by shape wave, the injection grade of each nozzle is regulated separately by one-to-one relationship.Rolling aluminum is not also provided in the report of line contact type flatness detection instrument at present, therefore, shape wave cannot be detected, by can only section configuration be detected at rolling outlet configuration profile gauge, for this reason, the object that rolling aluminum and cold rolling middle employing sub-sectional cooling control has the difference of essence, and also cannot accomplish that one_to_one corresponding controls, can only accomplish that tunneling boring trend controls, document 5(" 1+4 " hot continuous rolling plate shape and plate convexity automatic control system is analyzed, aluminium is processed, 2nd phase in 2009) in mention according to convexity deviation, adopt PI algorithm, the on off state of each nozzle of dynamic conditioning spray beam, the aluminothermic continuous rolling mill convexity closed-loop control system that document 6(mono-kind is advanced, aluminium is processed, 3rd phase in 2004) then first preset a kind of refrigerating mode of basis, refrigerating mode is directly adjusted to max model or minimal mode etc. by convexity measured value deviation.From result for retrieval, at present in rolling aluminum Crown control, also there is no a kind of dynamic segmentation cooling technology based on fuzzy control, for ensureing the good of total length convexity.
summary of the invention:
For adapting to the non-one_to_one corresponding feature of rolling aluminum convexity measurement and sub-sectional cooling control device, the invention provides a kind of easy to use, and the hot rolled aluminium convex degree control method based on dynamic segmentation cooling technology that hot rolled aluminium Crown control level can be made to be significantly improved.
Technical scheme of the present invention is: a kind of hot rolled aluminium convex degree control method based on dynamic segmentation cooling technology, and described method comprises following steps:
1. according to the control cycle of profile gauge sense cycle determination dynamic segmentation cooling.
If the sense cycle of profile gauge is t m, the control cycle of dynamic segmentation cooling is t c, then t ccomputing formula as follows:
T c= T m×10。
2. set up the fuzzy membership functions of convexity deviation, in each control cycle, and Fuzzy processing is carried out to convexity deviation.
Ambiguity in definition language: ANB represents negative large, and ANS represents negative little, and AZ represents that zero, APS represents just little, and APB represents honest.Definition convexity deviation variables: x 1=-30, x 2=-15, x 3=0, x 4=15, x 5=30.If the iindividual control cycle convexity deviation is Δ cR i , Δ cR i method for solving is as follows:
Δ CR i = CR m i - CR aim，
Wherein, cR m i be iconvexity actual measurement mean value in individual control cycle, cR aimfor convexity desired value.Definition convexity deviation fuzzy value is: ALanV1, ALanV2, and the degree of membership of corresponding fuzzy value is: AFuzV1, AFuzV2, and variable method for solving is as follows:
1）Δ CR i ≤ x 1
ALanV1= ANB，AFuzV1=1
ALanV2= ANS，AFuzV2=0，
2） x 1<Δ CR i ≤ x 2
ALanV1= ANB，AFuzV1=( x 2- x)/( x 2- x 1)
ALanV2= ANS，AFuzV2=( x- x 1)/( x 2- x 1)，
3） x 2<Δ CR i ≤ x 3
ALanV1= ANS，AFuzV1=( x 3- x)/( x 3- x 2)
ALanV2= AZ， AFuzV2=( x- x 2)/( x 3- x 2)，
4） x 3<Δ CR i ≤ x 4
ALanV1= AZ， AFuzV1=( x 4- x)/( x 4- x 3)
ALanV2= APS，AFuzV2=( x- x 3)/( x 4- x 3)，
5） x 4<Δ CR i ≤ x 5
ALanV1= APS，AFuzV1=( x 5- x)/( x 5- x 4)
ALanV2= APB，AFuzV2=( x- x 4)/( x 5- x 4)，
6） x 5<Δ CR i
ALanV1= APS，AFuzV1=0
ALanV2= APB，AFuzV2=1。
Be illustrated in figure 4 the fuzzy membership functions schematic diagram of convexity deviation.
3. set up the fuzzy membership functions of convexity deviation variation rate, from the 2nd control cycle, Fuzzy processing is carried out to convexity deviation variation rate.
Ambiguity in definition language: definition BNB represents negative large, and BNS represents negative little, and BZ represents that zero, BPS represents just little, and BPB represents honest.Definition convexity deviation variation rate variable: y 1=-20, y 2=-10, y 3=0, y 4=10, y 5=20.If the ithe individual cycle ( i> 1), convexity deviation variation rate is Δ cR d i , Δ cR d i method for solving is as follows:
Δ CR D i =Δ CR i -Δ CR i-1 ，
Wherein, Δ cR i be iindividual control cycle convexity deviation, Δ cR i be i-1 control cycle convexity deviation.Definition convexity deviation variation rate fuzzy value is: BLanV1, BLanV2, and the degree of membership of corresponding fuzzy value is: BFuzV1, BFuzV2, and variable method for solving is as follows:
1）Δ CR Di ≤ y 1
BLanV1= BNB，BFuzV1=1
BLanV2= BNS，BFuzV2=0，
2） y 1<Δ CR Di ≤ y 2
BLanV1= BNB，BFuzV1=( y 2- y)/( y 2- y 1)
BLanV2= BNS，BFuzV2=( y- y 1)/( y 2- y 1)，
3） y 2<Δ CR Di ≤ y 3
BLanV1= BNS，BFuzV1=( y 3- y)/( y 3- y 2)
BLanV2= BZ， BFuzV2=( y- y 2)/( y 3- y 2)，
4） y 3<Δ CR Di ≤ y 4
BLanV1= BZ， BFuzV1=( y 4- y)/( y 4- y 3)
BLanV2= BPS,，BFuzV2=( y- x 3)/( y 4- y 3)，
5） y 4<Δ CR Di ≤ y 5
BLanV1= BPS，BFuzV1=( y 5- y)/( y 5- y 4)
BLanV2= BPB，BFuzV2=( y- y 4)/( y 5- y 4)，
6） y 5<Δ CR Di
BLanV1= BPS，BFuzV1=0
BLanV2= BPB，BFuzV2=1。
Be illustrated in figure 5 the fuzzy membership functions schematic diagram of convexity deviation variation rate.
4. set up the fuzzy reasoning table of cooling change of rank, each control cycle convexity deviation fuzzy value and convexity deviation variation rate fuzzy value form four kinds of combinations, calculate often kind of combination lower cooling grade regulated quantity respectively.
Definition ufor cooling grade regulated quantity, be defined as: spray beam edge cooling grade subtracts cooling during rolling grade, if ube negative, represent and need to strengthen convexity, at this time need to strengthen middle part cooling grade, reduce edge cooling grade, if ufor canonical is contrary.
Definition cooling grade regulated quantity fuzzy language: NVB represents negative maximum, and NB represents negative large, and NS represents negative little, and Z represents that zero, PS represents just little, and PB represents honest, and BVB represents positive maximum.The cooling grade regulated quantity that definition is corresponding, z 1=-8, z 2=-4, z 3=-2, z 4=0, z 5=2, z 6=4, z 7=8.Suppose that the fuzzy value of convexity deviation is A, convexity deviation variation rate fuzzy value is B, and cooling grade regulated quantity fuzzy value is U, and definition if-then fuzzy reasoning table is as follows:
1) if A =ANB，B=BNB，then U=NVB， u= z 1,
2) if A=ANB，B=BNS，then U=NVB， u= z 1,
3) if A=ANB，B=BZ， then U=NB， u= z 2,
4) if A=ANB，B=BPS，then U=NS， u= z 3,
5) if A=ANB，B=BPB，then U=NS， u= z 3,
6) if A =ANS，B=BNB，hen U=NVB， u= z 1,
7) if A=ANS，B=BNS，then U=NB， u= z 2,
8) if A=ANS，B=BZ，then U=NS， u= z 3,
9) if A=ANS，B=BPS，then U=NS， u= z 3,
10) if A=ANS，B=BPB，then U=Z， u= z 4,
11) if A =AZ，B=BNB，then U=NS， u= z 3,
12) if A=AZ，B=BNS，then U=Z， u= z 4,
13) if A=AZ，B=BZ，then U=Z， u= z 4,
14) if A=AZ，B=BPS，then U=Z， u= z 4,
15) if A=AZ，B=BPB，then U=PS， u= z 5,
16) if A =APS，B=BNB，then U=Z， u= z 4,
17) if A=APS，B=BNS，then U=PS， u= z 5,
18) if A=APS，B=BZ，then U=PS， u= z 5,
19) if A=APS，B=BPS，then U=PB， u= z 6,
20) if A=APS，B=BPB，then U=PVB， u= z 7,
21) if A =APB，B=BNB，then U=PS， u= z 5,
22) if A=APB，B=BNS，then U=PS， u= z 5,
23) if A=APB，B=BZ，then U=PB， u= z 6,
24) if A=APB，B=BPS，then U=PVB， u= z 7,
25) if A=APB，B=BPB，then U=PVB， u= z 7,
Due to convexity deviation and corresponding 2 fuzzy values of convexity deviation variation rate of each control cycle, 4 kinds of fuzzy value combinations can be obtained: (ALanV1, BLanV1), (ALanV1, BLanV2), (ALanV2, BLanV1), (ALanV2, BLanV2), bring fuzzy specification table into, namely can obtain cooling grade regulated quantity respectively u 1, u 2, u 3, u 4.
Definition weights k, in above four combinations, compare convexity deviation fuzzy value and degree of membership corresponding to convexity deviation variation rate fuzzy value, less for degree of membership be assigned to k, obtain k 1, k 2, k 3, k 4.
Be illustrated in figure 6 the fuzzy membership functions of cooling grade regulated quantity.
5. adopt weighted mean method to four kinds of cooling grade regulated quantity de-fuzzies.Calculation procedure is as follows:
u ci =( u 1× k 1+ u 2× k 2+ u 3× k 3+ u 4× k 4)/( k 1+ k 2+ k 3+ k 4)，
u ci be iconciliation amount after control cycle sub-sectional cooling de-fuzzy is right u ci result of calculation carries out rounding process, if result of calculation is with decimal point, then keeps sign constant, removes decimal point, and add 1 to units.
6. according to de-fuzzy result, sub-sectional cooling setting is revised.
The preferential method regulating edge cooling grade is adopted to the adjustment of cooling grade, after edge cooling grade reaches capacity, then regulates middle part cooling grade.
The invention has the beneficial effects as follows: by enforcement of the present invention, rolling aluminum total length strip crown hit rate can be made to be stabilized in more than 95.4%, and the deep processing for lower procedure provides good condition.
accompanying drawing illustrates:
Fig. 1 rolling aluminum sub-sectional cooling structural representation.
Fig. 2 rolling aluminum spray beam structural representation.
The initial injection level diagram of Fig. 3 2800 rolling aluminum mild alloy spray beam.
The fuzzy membership functions schematic diagram of Fig. 4 convexity deviation.
The fuzzy membership functions schematic diagram of Fig. 5 convexity deviation variation rate.
Fig. 6 cools the fuzzy membership functions schematic diagram of level adjustment amount.
Fig. 7 2800 milling train aluminium sheet adopts dynamic segmentation cooling technology total length Crown control curve synoptic diagram.
detailed description of the invention:
Below in conjunction with detailed description of the invention, the present invention is described further.
For certain hot rolling aluminium manufacturer 2800mm milling train, rolling kind is 5083, aluminium strip width 2520mm, al zone thickness 7.9mm, convexity target 45 μm, initial fragment cooling middle part cooling grade is 6, edge cooling grade is 10, and the sense cycle of instrument is that 1s, 1s detect a convex value.
According to the calculating of this patent to control cycle, the sub-sectional cooling Dynamic controlling cycle is 10s.
1st control cycle:
In the cycle of 10s, detected 10 convex values, average convexity is 35.2 μm.
1) the convexity deviation in the 1st cycle is:
Δ CR 1= CR m1- CR aim=35.2-45=-9.8μm
2) this convexity deviation meets: x 2< Δ cR i ≤ x 3, therefore:
ALanV1= ANS，AFuzV1=( x 3- x)/( x 3- x 2)=(0+9.8)/(0+15)=0.653
ALanV2= AZ， AFuzV2=( x- x 2)/( x 3- x 2)=(-9.8+15)/(0+15)=0.347
3) because one-period convexity deviation variation rate is not considered, be 0, meet y 2< Δ cR di ≤ y 3, therefore:
BLanV1= BNS，BFuzV1=( y 3- y)/( y 3- y 2)=(0-0)/(0+10)=0
BLanV2= BZ， BFuzV2=( y- y 2)/( y 3- y 2)=(0+10)/(0+10)=1
4) the carrying out of convexity deviation and convexity deviation variation rate fuzzy language is combined, obtain four kinds of fuzzy language set: (ALanV1, BLanV1), (ALanV1, BLanV2), (ALanV2, BLanV1), (ALanV2, BLanV2).
For (ALanV1, BLanV1): ALanV1=ANS, BLanV1=BNS, looking into fuzzy reasoning table can obtain, and meets the 7th article of fuzzy rule: obtain U=NB, u 1= z 2=-4, k 1=BFuzV1=0
For (ALanV1, BLanV2): ALanV1=ANS, BLanV2=BZ, looking into fuzzy reasoning table can obtain, and meets the 8th article of fuzzy rule: obtain U=NS, u 2= z 3=-2, k 2=AFuzV1=0.653
For (ALanV2, BLanV1): ALanV2=AZ, BLanV1=BNS, looking into fuzzy reasoning table can obtain, and meets the 12nd article of fuzzy rule: obtain U=NS, u 3= z 4=0, k 3=BFuzV1=0
For (ALanV2, BLanV2): ALanV2=AZ, BLanV2=BZ, looking into fuzzy reasoning table can obtain, and meets the 13rd article of fuzzy rule: obtain U=Z, u 4= z 4=0, k 4=AFuzV2=0.347
5) adopt weighted mean method to four kinds of cooling grade regulated quantity de-fuzzies:
u c1 =( u 1× k 1+ u 2× k 2+ u 3× k 3+ u 4× k 4)/( k 1+ k 2+ k 3+ k 4)
=((-4)×0+(-2)×0.653+0×0+0×0.347)/(0+0.653+0+0.347)
=-1.306
After going decimal point to round u c1 =-2.
6) according to de-fuzzy result, sub-sectional cooling setting is revised.The preferential method regulating edge cooling grade is adopted to the adjustment of cooling grade, after edge cooling grade reaches capacity, then regulates middle part cooling grade.Initial fragment cooling middle part cooling grade is 6, and edge cooling grade is 10, because u c1 =-2, preferential adjustment edge grade, edge cooling grade changes to 8 from 10.
After 1st control cycle terminates, through the adjustment of FUZZY ALGORITHMS FOR CONTROL, cooling grade in the middle part of sub-sectional cooling is 6, and edge cooling grade is 8, so that aluminium strip increases convexity.
2nd control cycle:
In the cycle of 10s, detected 10 convex values, average convexity is 52.2 μm.
1) the convexity deviation in the 2nd cycle is:
Δ CR 2= CR m2- CR aim=52.2-45=7.2μm
2) this convexity deviation meets: x 3< Δ cR i ≤ x 4, therefore:
ALanV1= AZ，AFuzV1=( x 4- x)/( x 4- x 3)=(15-7.2)/(15-0)=0.52
ALanV2= APS， AFuzV2=( x- x 3)/( x 4- x 3)=(7.2-0)/(15-0)=0.48
3) the 2nd cycle convexity deviation variation rate is:
Δ CR D 2 =Δ CR 2-Δ CR 1=7.2-(-9.8)=17μm
Meet y 4< Δ cR di ≤ y 5, therefore:
BLanV1= BPS，BFuzV1=( y 5- y)/( y 5- y 4)=(20-17)/(20-10)=0.3
BLanV2= BPB，BFuzV2=( y- y 4)/( y 5- y 4)=(17-10)/(20-10)=0.7
4) the carrying out of convexity deviation and convexity deviation variation rate fuzzy language is combined, obtain four kinds of fuzzy language set: (ALanV1, BLanV1), (ALanV1, BLanV2), (ALanV2, BLanV1), (ALanV2, BLanV2).
For (ALanV1, BLanV1): ALanV1=AZ, BLanV1=BPS, looking into fuzzy reasoning table can obtain, and meets the 14th article of fuzzy rule: obtain U=Z, u 1= z 4=0, k 1=BFuzV1=0.3
For (ALanV1, BLanV2): ALanV1=AZ, BLanV2=BPB, looking into fuzzy reasoning table can obtain, and meets the 15th article of fuzzy rule: obtain U=ZS, u 2= z 5=2, k 2=AFuzV1=0.52
For (ALanV2, BLanV1): ALanV2=APS, BLanV1=BPS, looking into fuzzy reasoning table can obtain, and meets the 19th article of fuzzy rule: obtain U=PB, u 3= z 6=4, k 3=BFuzV1=0.3
For (ALanV2, BLanV2): ALanV2=APS, BLanV2=BPB, looking into fuzzy reasoning table can obtain, and meets the 20th article of fuzzy rule: obtain U=PVB, u 4= z 7=8, k 4=AFuzV2=0.48
5) adopt weighted mean method to four kinds of cooling grade regulated quantity de-fuzzies:
u c2 =( u 1× k 1+ u 2× k 2+ u 3× k 3+ u 4× k 4)/( k 1+ k 2+ k 3+ k 4)
=(0×0.3+2×0.52+4×0.3+8×0.48)/(0.3+0.52+0.3+0.48)
=3.8
After going decimal point to round u c2 =4.
6) according to de-fuzzy result, sub-sectional cooling setting is revised.The preferential method regulating edge cooling grade is adopted to the adjustment of cooling grade, after edge cooling grade reaches capacity, then regulates middle part cooling grade.After 1st control cycle terminates, cooling grade in cooling middle part is 6, and edge cooling grade is 8, because u c2 =4, preferential adjustment edge grade, edge cooling grade changes to 10 from 8, and arrive highest ranking, intermediate grade becomes 4 from 6, the sub-sectional cooling setting after being adjusted.
After 2nd control cycle terminates, through the adjustment of FUZZY ALGORITHMS FOR CONTROL, cooling grade in the middle part of sub-sectional cooling is 4, and edge cooling grade is 10, so that aluminium strip reduces convexity.
After 3rd control cycle, and the 2nd periodic Control is similar, no longer illustrates at this.
By this project implementation, can reach the convex value that aluminium strip total length is stable, the deep processing for lower procedure provides good condition, as shown in Figure 7, for certain 2800 milling train aluminium sheet adopts dynamic segmentation cooling technology total length Crown control curve.

Claims (7)

1. based on a hot rolled aluminium convex degree control method for dynamic segmentation cooling technology, it is characterized in that: described method comprises following steps:
Step 1: according to the control cycle of profile gauge sense cycle determination dynamic segmentation cooling;
Step 2: the fuzzy membership functions setting up convexity deviation, in each control cycle, carries out Fuzzy processing to convexity deviation;
Step 3: the fuzzy membership functions setting up convexity deviation variation rate, from the 2nd control cycle, carries out Fuzzy processing to convexity deviation variation rate;
Step 4: the fuzzy reasoning table setting up cooling change of rank, each control cycle convexity deviation fuzzy value and convexity deviation variation rate fuzzy value form four kinds of combinations, calculate often kind of combination lower cooling grade regulated quantity respectively;
Step 5: adopt weighted mean method to four kinds of cooling grade regulated quantity de-fuzzies;
Step 6: sub-sectional cooling setting is revised according to de-fuzzy result.
2., as claimed in claim 1 based on the hot rolled aluminium convex degree control method of dynamic segmentation cooling technology, it is characterized in that: in described step 1, if the sense cycle of profile gauge is t m, the control cycle of dynamic segmentation cooling is t c, then t ccomputing formula as follows:
T c= T m×10 。
3. as claimed in claim 1 based on the hot rolled aluminium convex degree control method of dynamic segmentation cooling technology, it is characterized in that: in described step 2, the obfuscation solution procedure setting up the fuzzy membership functions of convexity deviation and each control cycle convexity deviation is as follows:
Ambiguity in definition language: ANB represents negative large, and ANS represents negative little, and AZ represents that zero, APS represents just little, and APB represents honest;
Definition convexity deviation variables: x 1=-30, x 2=-15, x 3=0, x 4=15, x 5=30, if the iindividual control cycle convexity deviation is Δ cR i , Δ cR i method for solving is as follows:
Δ CR i = CR m i - CR aim ，
In formula, cR m i be iconvexity actual measurement mean value in individual control cycle, cR aimfor convexity desired value;
Two fuzzy values of definition convexity deviation are: ALanV1, ALanV2, and the degree of membership of corresponding fuzzy value is: AFuzV1, AFuzV2, and variable method for solving is as follows:
1）Δ CR i ≤ x 1
ALanV1= ANB，AFuzV1=1
ALanV2= ANS，AFuzV2=0，
2） x 1<Δ CR i ≤ x 2
ALanV1= ANB，AFuzV1=( x 2- x)/( x 2- x 1)
ALanV2= ANS，AFuzV2=( x- x 1)/( x 2- x 1)，
3） x 2<Δ CR i ≤ x 3
ALanV1= ANS，AFuzV1=( x 3- x)/( x 3- x 2)
ALanV2= AZ， AFuzV2=( x- x 2)/( x 3- x 2)，
4） x 3<Δ CR i ≤ x 4
ALanV1= AZ， AFuzV1=( x 4- x)/( x 4- x 3)
ALanV2= APS，AFuzV2=( x- x 3)/( x 4- x 3)，
5） x 4<Δ CR i ≤ x 5
ALanV1= APS，AFuzV1=( x 5- x)/( x 5- x 4)
ALanV2= APB，AFuzV2=( x- x 4)/( x 5- x 4)，
6） x 5<Δ CR i
ALanV1= APS，AFuzV1=0
ALanV2= APB，AFuzV2=1。
4. as claimed in claim 1 based on the hot rolled aluminium convex degree control method of dynamic segmentation cooling technology, it is characterized in that: in described step 3, set up the fuzzy membership functions of convexity deviation variation rate, and from the 2nd control cycle, convexity deviation variation rate obfuscation solution procedure is as follows:
Ambiguity in definition language: definition BNB represents negative large, and BNS represents negative little, and BZ represents that zero, BPS represents just little, and BPB represents honest;
Definition convexity deviation variation rate variable: y 1=-20, y 2=-10, y 3=0, y 4=10, y 5=20;
If the ithe individual cycle, i> 1, convexity deviation variation rate is Δ cR d i , Δ cR d i method for solving is as follows:
Δ CR D i =Δ CR i -Δ CR i-1 ，
In formula, Δ cR i be iindividual control cycle convexity deviation, Δ cR i be i-1 control cycle convexity deviation,
Two fuzzy values of definition convexity deviation variation rate are: BLanV1, BLanV2, and the degree of membership of corresponding fuzzy value is: BFuzV1, BFuzV2, and variable method for solving is as follows:
1）Δ CR Di ≤ y 1
BLanV1= BNB，BFuzV1=1
BLanV2= BNS，BFuzV2=0，
2） y 1<Δ CR Di ≤ y 2
BLanV1= BNB，BFuzV1=( y 2- y)/( y 2- y 1)
BLanV2= BNS，BFuzV2=( y- y 1)/( y 2- y 1)，
3） y 2<Δ CR Di ≤ y 3
BLanV1= BNS，BFuzV1=( y 3- y)/( y 3- y 2)
BLanV2= BZ， BFuzV2=( y- y 2)/( y 3- y 2)，
4） y 3<Δ CR Di ≤ y 4
BLanV1= BZ， BFuzV1=( y 4- y)/( y 4- y 3)
BLanV2= BPS,，BFuzV2=( y- x 3)/( y 4- y 3)，
5） y 4<Δ CR Di ≤ y 5
BLanV1= BPS，BFuzV1=( y 5- y)/( y 5- y 4)
BLanV2= BPB，BFuzV2=( y- y 4)/( y 5- y 4)，
6） y 5<Δ CR Di
BLanV1= BPS，BFuzV1=0
BLanV2= BPB，BFuzV2=1。
5. as claimed in claim 1 based on the hot rolled aluminium convex degree control method of dynamic segmentation cooling technology, it is characterized in that: in described step 4, set up the fuzzy reasoning table of cooling change of rank, each control cycle convexity deviation fuzzy value and convexity deviation variation rate fuzzy value form four kinds of combinations, calculate often kind of combination lower cooling grade regulated quantity respectively, step is as follows:
Definition ufor cooling grade regulated quantity, be defined as: spray beam edge cooling grade subtracts cooling during rolling grade, if ube negative, represent and need to strengthen convexity, at this time need to strengthen middle part cooling grade, reduce edge cooling grade, if ufor canonical is contrary;
Definition cooling grade regulated quantity fuzzy language: NVB represents negative maximum, and NB represents negative large, and NS represents negative little, and Z represents that zero, PS represents just little, and PB represents honest, and BVB represents positive maximum, the cooling grade regulated quantity that definition is corresponding, z 1=-8, z 2=-4, z 3=-2, z 4=0, z 5=2, z 6=4, z 7=8, suppose that the fuzzy value of convexity deviation is A, convexity deviation variation rate fuzzy value is B, and cooling grade regulated quantity fuzzy value is U, and definition if-then fuzzy reasoning table is as follows:
1) if A =ANB，B=BNB，then U=NVB， u= z 1,
2) if A=ANB，B=BNS，then U=NVB， u= z 1,
3) if A=ANB，B=BZ， then U=NB， u= z 2,
4) if A=ANB，B=BPS，then U=NS， u= z 3,
5) if A=ANB，B=BPB，then U=NS， u= z 3,
6) if A =ANS，B=BNB，hen U=NVB， u= z 1,
7) if A=ANS，B=BNS，then U=NB， u= z 2,
8) if A=ANS，B=BZ，then U=NS， u= z 3,
9) if A=ANS，B=BPS，then U=NS， u= z 3,
10) if A=ANS，B=BPB，then U=Z， u= z 4,
11) if A =AZ，B=BNB，then U=NS， u= z 3,
12) if A=AZ，B=BNS，then U=Z， u= z 4,
13) if A=AZ，B=BZ，then U=Z， u= z 4,
14) if A=AZ，B=BPS，then U=Z， u= z 4,
15) if A=AZ，B=BPB，then U=PS， u= z 5,
16) if A =APS，B=BNB，then U=Z， u= z 4,
17) if A=APS，B=BNS，then U=PS， u= z 5,
18) if A=APS，B=BZ，then U=PS， u= z 5,
19) if A=APS，B=BPS，then U=PB， u= z 6,
20) if A=APS，B=BPB，then U=PVB， u= z 7,
21) if A =APB，B=BNB，then U=PS， u= z 5,
22) if A=APB，B=BNS，then U=PS， u= z 5,
23) if A=APB，B=BZ，then U=PB， u= z 6,
24) if A=APB，B=BPS，then U=PVB， u= z 7,
25) if A=APB，B=BPB，then U=PVB， u= z 7；
Due to convexity deviation and corresponding 2 fuzzy values of convexity deviation variation rate of each control cycle, obtain 4 kinds of fuzzy value combinations: (ALanV1, BLanV1), (ALanV1, BLanV2), (ALanV2, BLanV1), (ALanV2, BLanV2), bring fuzzy reasoning table into, cooling grade regulated quantity can be obtained respectively u 1, u 2, u 3, u 4;
Definition weights k, in above four combinations, compare convexity deviation and degree of membership corresponding to convexity deviation variation rate fuzzy value, be assigned to wherein less k, obtain k 1, k 2, k 3, k 4.
6. as claimed in claim 1 based on the hot rolled aluminium convex degree control method of dynamic segmentation cooling technology, it is characterized in that: in described step 5, adopt weighted mean method to four kinds of cooling grade regulated quantity de-fuzzies, obtain ithe cooling grade regulated quantity of control cycle u ci , calculation procedure is as follows:
u ci =( u 1× k 1+ u 2× k 2+ u 3× k 3+ u 4× k 4)/( k 1+ k 2+ k 3+ k 4)。
7. as claimed in claim 1 based on the hot rolled aluminium convex degree control method of dynamic segmentation cooling technology, it is characterized in that: in described step 6, the preferential method regulating edge cooling grade is adopted to the adjustment of cooling grade, after edge cooling grade reaches capacity, then regulates middle part cooling grade.
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