CN100422356C - Method for controlling furnace temperature of heating furnace for continuous annealing - Google Patents

Method for controlling furnace temperature of heating furnace for continuous annealing Download PDF

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CN100422356C
CN100422356C CNB2005100263258A CN200510026325A CN100422356C CN 100422356 C CN100422356 C CN 100422356C CN B2005100263258 A CNB2005100263258 A CN B2005100263258A CN 200510026325 A CN200510026325 A CN 200510026325A CN 100422356 C CN100422356 C CN 100422356C
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temperature
furnace
band
furnace temperature
gas flow
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CN1873034A (en
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周坚刚
胡广魁
王海英
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Baoshan Iron and Steel Co Ltd
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Baoshan Iron and Steel Co Ltd
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Abstract

The present invention relates to a method for controlling the furnace temperature of a continuous annealing heating furnace, which is characterized in that the inlet belt temperature of a furnace zone, the strip steel second flow quantity and the furnace temperature are used as input quantities; the increment of the optimal fuel gas flow quantity of the current time is calculated by a multivariate prediction control calculation method; the furnace temperature of a continuous annealing heating furnace is controlled by adjusting the increment of the fuel gas flow quantity. The present invention can calculate the heat energy of strip steel of each furnace zone by a model, consider the influence of the thickness, the width, the speed and the inlet belt temperature of the strip steel to the furnace temperature and enhance the furnace temperature control precision and the dynamic response characteristics of a heating furnace section.

Description

Method for controlling furnace temperature of heating furnace for continuous annealing
Technical field
The present invention relates to method for controlling furnace temperature of heating furnace for continuous annealing.
Background technology
Connect and move back heating furnace structure as shown in Figure 1, whole stove is divided into several region, between each district insulated wall is arranged, and is used to reduce hot phase mutual interference between burner hearth.All there is independently control in each stove district, as: gas flow, voltage, power etc. and measurement of furnace temperature means.Existingly moving back the heating-furnace temperature control and generally all adopt single argument PID (pid calculation device) control method, referring to Fig. 2, is input with the difference of setting furnace temperature and actual measurement furnace temperature promptly, and the controlled variable set(ting)value is the PID setter of output.Because big inertia, the long time delay characteristic of stove itself, the high speed that the company of adding moves back, continuous, change specification operational characteristic make traditional company move back the requirement that Control for Kiln Temperature can not be taken into account stability and rapidity simultaneously.Japanese Patent 03-277722[JP 3277722 A], the method that a kind of heat energy by actual measurement heating zone outlet band steel carries out Control for Kiln Temperature is disclosed.Japanese Patent PUB.NO.:52-028409[JP 52028409 A], a kind of method for controlling furnace temperature that changes heating condition is disclosed, this method only considers that belt steel thickness changes the influence to furnace temperature.
Summary of the invention
The object of the present invention is to provide a kind of method for controlling furnace temperature of heating furnace for continuous annealing, this control method is by the heat energy of each stove district band steel of Model Calculation, considered the influence of belt steel thickness, width, speed and inlet band temperature, improved the Control for Kiln Temperature precision and the dynamic response characteristic of process furnace section furnace temperature.
The present invention is achieved in that a kind of method for controlling furnace temperature of heating furnace for continuous annealing, it is characterized in that inlet band temperature, band steel second flow amount and furnace temperature with the stove district are input, adopt the multivariable prediction control algolithm to calculate the gas flow increment of current time optimum, by regulating the gas flow increment, control even moving back furnace temperature of heating furnace, its step is as follows:
The first step is calculated inlet band temperature, and inlet band temperature is exactly the outlet band temperature of forehearth area, and its mathematic(al) representation is:
Figure C20051002632500051
T s(0)=T sin
In the formula, L[m] be the length of band steel in the forehearth area, K is comprehensive heat absorption coefficient, A 3, A 4, A 5, A 6Be the parameter relevant, T with thermal capacitance s(x) being the band temperature at distance inlet x rice, is the intermediate variable in the integral and calculating, T SinAnd T Sout[℃] be respectively the entrance and exit band temperature of forehearth area, h[mm] is the belt steel thickness in forehearth area exit, v[m/min] be strip speed, T f[℃] be the furnace temperature of forehearth area;
Second step, calculate band steel second flow amount, strip steel at entry second flow amount has reflected that the band steel takes the size of this stove district heat to from previous stove district, band steel second flow amount is the product of the strip speed, width and the thickness that enter this stove district, that is:
V h=v×w×h (2)
In the formula, w[m] be strip width;
In the 3rd step, calculate k furnace temperature T constantly f(k), its mathematic(al) representation is:
T f(k)=s 11ΔF l(k-1)+s 12ΔF l(k-2)+…+s 1nΔF l(k-n)+s 1nF l(k-n-1)
+s 21ΔT sin(k-1)+s 22ΔT sin(k-2)+…+s 2nΔT sin(k-n)+s 2nT sin(k-n-1) (3)
+ s 31Δ V h(k-1)+s 32Δ V h(k-2)+... + s 3nΔ V h(k-n)+s 3nV h(k-n-1) in the formula, F l(k-1) [m 3/ min] be k-1 gas flow constantly, T Sin(k-1) [℃] be k-1 inlet band temperature constantly, calculate gained, V by (1) formula h(k-1) be k-1 inlet second flow amount constantly, calculate gained, s by (2) formula 11S 3nBe model parameter;
The 4th step, calculate the gas flow increment, multivariable prediction control is control increment of calculating next moment according to the furnace temperature curve of furnace temperature aim curve of setting and prediction, that supposes the future time gas quantity is changed to zero, that is:
ΔF l(k)=ΔF l(k+1)=…=0, ∀ k > 0 (4)
Can predict the interior constantly furnace temperature value of p in the future according to (3) formula, thereby also just can calculate the specification error of p in the moment in the future, that is:
E(1)=r(1)-T f(1)
… (5)
E(p)=r(p)-T f(p)
Here, r (p) is a p set(ting)value constantly, and according to the predictive control principle, next gas flow increment constantly is
ΔF l(1)=k 1E(1)+k 2E(2)+…+k pE(p) (6)
In the formula, k 1K pBe the predictive control gain.
Above-mentioned method for controlling furnace temperature of heating furnace for continuous annealing can record by the band temperature measurement instrument before the stove for the inlet band temperature in the first stove district; Gas flow is adjusted to gas flow and regulates.
The present invention has considered the influence of the gentle band of the inlet band in stove district steel second flow amount to furnace temperature, and according to the model prediction furnace temperature variation of future time, calculates the gas flow increment of current time optimum with the multivariable prediction control theory.The present invention mainly comprises three modules: inlet band temperature is calculated, strip steel at entry second flow amount is calculated and the multivariable prediction control algolithm.The present invention has considered the influence to furnace temperature of belt steel thickness, width, speed and inlet band temperature by the heat energy of each stove district band steel of Model Calculation, has improved the Control for Kiln Temperature precision and the dynamic response characteristic of process furnace section.
Description of drawings
The invention will be further described below in conjunction with the drawings and specific embodiments.
Fig. 1 is the heating furnace for continuous annealing structural representation;
Fig. 2 moves back the method for controlling furnace temperature of heating furnace block diagram for existing company;
Fig. 3 is a method for controlling furnace temperature of heating furnace for continuous annealing block diagram of the present invention.
Among the figure: the furnace temperature of 1 forehearth area, the inlet band temperature of 2 forehearth area, the belt steel thickness of 3 forehearth area, the strip width of 4 forehearth area, 5 strip speeds, 6 inlet band temperature, 7 band steel second flow amounts, the control of 8 multivariable predictions.
Embodiment
Referring to Fig. 1, Fig. 3, a kind of method for controlling furnace temperature of heating furnace for continuous annealing, be that inlet band temperature 6, band steel second flow amount 7 and furnace temperature with the stove district is input, adopt multivariable prediction to control the gas flow increment that 8 algorithms calculate the current time optimum, by regulating the gas flow increment, control even moving back furnace temperature of heating furnace, be described in detail as follows:
1. inlet band temperature 6 is calculated, and for the first stove district, inlet band temperature 6 can record by the band temperature measurement instrument before the stove, referring to Fig. 1.For follow-up stove district,, can only estimate through calculating according to the operation conditions of forehearth area because mounting strap steel detector is very difficult in stove.In fact the inlet band temperature 6 in this stove district is exactly the outlet band temperature of forehearth area.And the outlet band temperature of forehearth area can be tried to achieve by furnace temperature 1, the inlet band temperature 2 of forehearth area, the belt steel thickness 3 of forehearth area, the strip speed 5 of forehearth area:
Figure C20051002632500071
T s(0)=T sin
In the formula, L[m] be the length of band steel in the forehearth area, K is comprehensive heat absorption coefficient, A 3, A 4, A 5, A 6Be the parameter relevant, T with thermal capacitance s(x) being the band temperature at distance inlet x rice, is the intermediate variable in the integral and calculating, T SinAnd T Sout[℃] be respectively the inlet band temperature 2 of forehearth area and export band temperature, h[mm] be the belt steel thickness 3 in forehearth area exit, v[m/min] be strip speed 5, T f[℃] be the furnace temperature 1 of forehearth area.Just can go out the outlet band temperature of forehearth area, just the inlet band temperature 6 in this stove district with numerical calculations according to (1) formula.
2. strip steel at entry second flow amount 7 is calculated, and strip steel at entry second flow amount 7 has reflected that the band steel takes the size of this stove district heat to from previous stove district, and band steel second flow amount 7 is big more, and the heat that brings is many more, thereby also big more to the influence of this stove district furnace temperature.Strip steel at entry second flow amount 7 is for to enter the strip speed 5 in this stove district, the strip width 4 of forehearth area and the product of belt steel thickness 3, that is,
V h=v×w×h (2)
In the formula, w[m] be the strip width 4 of forehearth area.
3. multivariable prediction is controlled 8 algorithms, and multivariable prediction control 8 is control increment of calculating next moment according to the furnace temperature curve of furnace temperature aim curve of setting and prediction.Therefore at first must set up furnace temperature prediction and calculation method.According to the furnace apparatus characteristic, the principal element that influences the furnace temperature variation has: gas flow, belt steel thickness, strip width and strip speed, inlet band temperature 6 etc.Therefore, k furnace temperature constantly can be calculated with the increment of preceding n gas flow, inlet band temperature 6 and band steel second flow amount 7 constantly, promptly
T f(k)=s 11ΔF l(k-1)+s 12ΔF l(k-2)+…+s 1nΔF l(k-n)+s 1nF l(k-n-1)
+s 21ΔT sin(k-1)+s 22ΔT sin(k-2)+…+s 2nΔT sin(k-n)+s 2nT sin(k-n-1)(3)
+s 31ΔV h(k-1)+s 32ΔV h(k-2)+…+s 3nΔV h(k-n)+s 3nV h(k-n-1)
In the formula, T f(k) be k furnace temperature constantly, F l(k-1) [m 3/ min] be k-1 gas flow constantly, T Sin(k-1) [℃] be k-1 inlet band temperature 6 constantly, calculate gained, V by (1) formula h(k-1) be k-1 strip steel at entry second flow amount 7 constantly, calculate gained, s by (2) formula 11S 3nBe model parameter.
(3) expression-form of formula helps carrying out real-time furnace temperature prediction and calculation, is the basis of predictive control algorithm 8.That supposes future time coal gas amount is changed to zero, promptly
ΔF l(k)=ΔF l(k+1)=…=0, ∀ k > 0 (4)
Can predict the interior constantly furnace temperature value of p in the future according to (3) formula, thereby also just can calculate the specification error of p in the moment in the future, promptly
E(1)=r(1)-T f(1)
… (5)
E(p)=r(p)-T f(p)
Here, r (p) is a p set(ting)value constantly.According to the predictive control principle, next gas flow increment constantly is
ΔF l(1)=k 1E(1)+k 2E(2)+…+k pE(p) (6)
In the formula, k 1K pBe the predictive control gain.
Can obtain through test: the parameter value in (1) formula is:
K=0.4×10 -10
A 3=0.16264
A 4=-0.25416×10 -3
A 5=0.53943×10 -6
A 6=-0.28215×10 -9
(3) parameter in the formula is: n=83, s IjHave 83, preceding 10 coefficients are:
s 11…s 110 s 21…s 210 s 31…s 130
0 0 0
0 0 0
0.081724 0.015349 -0.0161
0.32136 0.060355 -0.06332
0.55292 0.10384 -0.10894
0.77667 0.14587 -0.15303
0.99287 0.18647 -0.19563
1.2018 0.22571 -0.23679
1.4036 0.26362 -0.27656
1.5987 0.30025 -0.31499
(6) ride gain in the formula is:
k 1~10=[0,0,0.1759,0.5179,0.4486,0.2676,0.1132,0.0199,-0.0263,-0.0503]。
The present invention can be generalized on the process furnace and soaking pit of any continuous processing line, comprising: pot galvanize and electro-galvanizing are handled line, especially for this continuous processing line high to temperature requirement of picture electrical steel.

Claims (3)

1. method for controlling furnace temperature of heating furnace for continuous annealing, it is characterized in that inlet band temperature, band steel second flow amount and furnace temperature with the stove district are input, adopt the multivariable prediction control algolithm to calculate the gas flow increment of current time optimum, by regulating the gas flow increment, control even moving back furnace temperature of heating furnace, its step is as follows:
The first step is calculated inlet band temperature, and inlet band temperature is exactly the outlet band temperature of forehearth area, and its mathematic(al) representation is:
Figure C2005100263250002C1
T s(0)=T sin
In the formula, L[m] be the length of band steel in the forehearth area, K is comprehensive heat absorption coefficient, A 3, A 4, A 5, A 6Be the parameter relevant, T with thermal capacitance s(x) being the band temperature at distance inlet x rice, is the intermediate variable in the integral and calculating, T SinAnd T Sout[℃] be respectively the entrance and exit band temperature of forehearth area, h[mm] is the belt steel thickness in forehearth area exit, v[m/min] be strip speed, T f[℃] be the furnace temperature of forehearth area;
Second step, calculate band steel second flow amount, strip steel at entry second flow amount has reflected that the band steel takes the size of this stove district heat to from previous stove district, band steel second flow amount is the product of the strip speed, width and the thickness that enter this stove district, that is:
V h=v×w×h (2)
In the formula, w[m] be strip width;
In the 3rd step, calculate k furnace temperature T constantly f(k), its mathematic(al) representation is:
T f(k)=s 11ΔF l(k-1)+s 12ΔF l(k-2)+…+s 1nΔF l(k-n)+s 1nF l(k-n-1)
+s 21ΔT sin(k-1)+s 22ΔT sin(k-2)+…+s 2nΔT sin(k-n)+s 2nT sin(k-n-1)(3)
+s 31ΔV h(k-1)+s 32ΔV h(k-2)+…+s 3nΔV h(k-n)+s 3nV h(k-n-1)
In the formula, F l(k-1) [m 3/ min] be k-1 gas flow constantly, T Sin(k-1) [℃] be k-1 inlet band temperature constantly, calculate gained, V by (1) formula h(k-1) be k-1 inlet second flow amount constantly, calculate gained, s by (2) formula 11S 3nBe model parameter;
The 4th step, calculate the gas flow increment, multivariable prediction control is control increment of calculating next moment according to the furnace temperature curve of furnace temperature aim curve of setting and prediction, that supposes the future time gas quantity is changed to zero, that is:
Δ F l ( k ) = ΔF l ( k + 1 ) = · · · = 0 , ∀ k > 0 - - - ( 4 )
Can predict the interior constantly furnace temperature value of p in the future according to (3) formula, thereby also just can calculate the specification error of p in the moment in the future, that is:
E(1)=r(1)-T f(1)
… (5)
E(p)=r(p)-T f(p)
Here, r (p) is a p set(ting)value constantly, and according to the predictive control principle, next gas flow increment constantly is
ΔF l(1)=k 1E(1)+k 2E(2)+…+k pE(p)(6)
In the formula, k 1K pBe the predictive control gain.
2. method for controlling furnace temperature of heating furnace for continuous annealing according to claim 1 is characterized in that the band temperature measurement instrument before inlet band temperature for the first stove district is by stove records.
3. method for controlling furnace temperature of heating furnace for continuous annealing according to claim 1 is characterized in that gas flow is adjusted to gas flow and regulates.
CNB2005100263258A 2005-05-31 2005-05-31 Method for controlling furnace temperature of heating furnace for continuous annealing Expired - Fee Related CN100422356C (en)

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