CN101693945A - Pulse combustion temperature control method of heat treating furnace - Google Patents
Pulse combustion temperature control method of heat treating furnace Download PDFInfo
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- CN101693945A CN101693945A CN200910272332A CN200910272332A CN101693945A CN 101693945 A CN101693945 A CN 101693945A CN 200910272332 A CN200910272332 A CN 200910272332A CN 200910272332 A CN200910272332 A CN 200910272332A CN 101693945 A CN101693945 A CN 101693945A
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Abstract
The invention relates to the technical field of thermal treatment, in particular to a pulse combustion temperature control method of heat treating furnace, which is characterized by comprising the following steps: firstly, utilizing fuzzy self-adapting PID impulse adjustment to control temperature when a steel billet does not enter the temperature control segment of a heating zone, secondly, cutting the fuzzy self-adapting PID impulse adjustment control when understanding that steel billets enter the heating zone according to the material tracing information of the heat treating furnace, and conducing thermal energy balance control, thirdly, switching to fuzzy self-adapting PID impulse adjustment to control temperature when understanding that steel billets leave off according to the material tracing information of the heat treating furnace, fourthly, always adopting the conventional PID impulse adjustment to control temperature in a soaking zone. The pulse combustion temperature control method adopts the combination of fuzzy self-adapting PID impulse adjustment and thermal balanceheat supply to control heating segments, has better temperature control precision, can control overshoot within 10 DEG C, and plays the effects of accurate temperature control, fast dynamic response and energy saving.
Description
Technical field
The present invention relates to the heat treatment technics field, relate in particular to a kind of temperature-controlled process of heat treatment furnace pulse-combustion.
Background technology
At present, domestic industrial furnace combustion control mode comprises heat accumulating type reversing combustion, the conventional control etc. of burning continuously, these combustion control modes mostly are ratio and regulate form, and promptly the size by control fuel, combustion air flow makes temperature, combustion atmosphere in the stove reach processing requirement.Because this control mode is restricted by links such as the regulation range of fuel flow and measurement often, so the control poor effect of present most of process furnace, it is higher mainly to show as energy consumption.
Along with updating of industrial furnace, the pulsed combustion control technology obtains application to a certain degree at home and abroad, has obtained good result.Pulse-combustion has great advantage than traditional ratio burning tool in this respect, its constant air/fuel ratio makes efficiency of combustion keep stable and optimum state, combustion gas and air flow quantity can preestablish by the pressure adjustment, burner is in case work, just be in full load condition, the gas outlet speed when guaranteeing burner combustion is constant.When burner when operating at full capacity, gas flow rate, flame profile, thermo-efficiency all can reach optimum regime, do not have superfluous air and combustion gas in the stove, have reduced fuel consumption effectively, have reduced the discharging of oxynitride.
Figure 1 shows that pulsed burning control texture block diagram, its method is to adopt to go control indirectly to burn steel to the control of fire box temperature, to produce the qualified steel billet of operational characteristic.Its fire box temperature is recorded by thermopair, on control method, adopt classical PI or PID to regulate with constant each segment process desired temperature, the output valve of PID temperature regulating and controlling (is the value of 0-100%, represent the percentage ratio of power output, be used for producing pulse sequence to pulse manipulator) as the input value of pulse manipulator, pulse manipulator output control signal is given corresponding topworks, finally determine the switching time and the sequence order of burner, simultaneously by Temperature Feedback unit feedback temperature information by pulse control.
Below further the technical problem that exists of paired pulses formula combustion control technology be introduced.Roller hearth heat-treated furnace is made up of heating region and soaking zone, and each zone can be divided into several temperature control sections again, and the soaking zone temperature is set at the target temperature that steel billet is come out of the stove, and the heating zone design temperature is determined by heating process.Do not adorn under the situation of steel in the stove, the control of PID temperature is easy to each temperature control section temperature regulation to design temperature, but in case advance steel, because it is very low just to have entered the cold steel billet temperature of heating region, is generally normal temperature, temperature 700-900 degree in the stove, temperature has big difference, the temperature that can cause thermopair to record descends significantly, descend more than 100 degree than design temperature, the PID humidity control system of this moment can since actual temperature than the low too many and all one's effort heat supply temperature adjustment of design temperature.And after steel billet walks, because this temperature control section has not had cold steel billet, so temperature can sharply rise.Significantly lower the temperature when steel billet comes in this short period of time and significantly the heat up concussion that produce of steel billet after walking bring difficulty can for the PID temperature regulation, produce bigger overshoot, it is more that this regional temperature is exceeded than design temperature.Heat supply has not in this case had good precision, no matter wide, thick, the length of steel billet, all almost can continue heat supply with all strength equally, the unnecessary heat that every block of steel billet does not absorb or absorbed by burner hearth or taken away by furnace gas, in case rhythm of production slows down, even do not heat, furnace temperature also can sharply rise, the technique initialization temperature that surpasses far away, the precision that has lost temperature control has also been wasted the energy.
Summary of the invention
The temperature-controlled process that the purpose of this invention is to provide a kind of heat treatment furnace pulse-combustion, this method can improve accuracy of temperature control, reduces loss.
For achieving the above object, the present invention adopts following technical scheme: a kind of temperature-controlled process of heat treatment furnace pulse-combustion, it is characterized in that, and may further comprise the steps:
1. when the temperature control section of heating region does not have steel billet to enter, carry out temperature control with the Fuzzy Adaptive PID pulse regulation;
2. know when having steel billet to enter heating region according to heat treatment furnace material tracking information, cut off the control of Fuzzy Adaptive PID pulse regulation, carry out thermal energy balance control;
When 3. knowing that according to heat treatment furnace material tracking information steel billet leaves, switch to the Fuzzy Adaptive PID pulse regulation again and carry out temperature control, constant this temperature control section temperature;
4. take conventional PID pulse regulation to carry out temperature control all the time in the soaking zone.
Step Fuzzy Adaptive PID pulse regulation 1. is to add parameter fuzzy to proofread and correct strategy on the basis of conventional PID pulse regulation, so that the system dynamics response is better, parameter fuzzy is proofreaied and correct strategy and realized by calculated off-line and online query;
Step is 2. described, and to carry out thermal energy balance control be after cutting off step Fuzzy Adaptive PID pulse regulation control 1., on the power output basis of Fuzzy Adaptive PID pulse regulation control, add the power that this heating region steel billet is wanted additional absorbent heat, to keep steel billet this temperature control section of passing by, heat balance between supply and demand.
Described step is carried out temperature when controlling with the Fuzzy Adaptive PID pulse regulation in 1., further comprises following substep:
Measure the temperature deviation e and the temperature deviation velocity of variation ec of the temperature control section of heating region, import as fuzzy with temperature deviation e and temperature deviation velocity of variation ec, with parameter correction amount Δ Kp, Δ Ki, Δ Kd as output;
Adopt off-line to set up, calculate fuzzy control table, deposit computer in;
Kp=Kp0+ Δ Kp by formula, Ki=Ki0+ Δ Ki, Kd=Kd0+ Δ Kd, online correction PID pulse regulation parameter directly corresponds to output by input in the production; Kp represents to adjust the back scale-up factor, and Kp0 represents to adjust preceding scale-up factor, and Δ Kp represents the correcting value of scale-up factor; Ki represents to adjust the back integral coefficient, integral coefficient before Ki0 adjusts, and Δ Ki represents the correcting value of integral coefficient; Kd represents to adjust preceding differential coefficient, and Kd0 represents to adjust the back differential coefficient, and Δ Kd represents the correcting value of differential coefficient.
When 2. described step carries out thermal energy balance control, further comprise following substep:
Determine that by the field experiment method certain steel billet at certain temperature control zone unit volume and required heat supply P1 of time, is recorded in these data in the control law;
In the production, steel billet switches to this control mode from the Fuzzy Adaptive PID pulse regulation after entering this zone, the a certain moment of this zone is output as X1=W1+U1, wherein W1 is that steel billet enters the routine output when carrying out the Fuzzy Adaptive PID pulse regulation before this zone, U1 is in order to reach the extra heat supply that energy balance is carried out, U1=(P1 * a * b * c)/Y1, wherein W1, U1 all represent the per-cent (for the numerical value of 0-100%) of power output, the length that a, b, c enter for the current time steel billet, Y1 be temperature control zone peak power for this reason;
Steel billet is passed by behind this zone, switches back the Fuzzy Adaptive PID pulse regulation.
The present invention has the following advantages and positively effect:
1) the present invention takes Fuzzy Adaptive PID pulse regulation and thermal energy balance control heat supply in conjunction with carrying out the control of the temperature control section of heating region in the temperature control section of heating region.Carry out thermal energy balance control by the volume of steel billet and the heat supply of steel grade characteristic when steel billet is arranged, adopt the control of Fuzzy Adaptive PID pulse regulation when not having steel billet; Accuracy of temperature control is better, faster system response, and overshoot can be controlled in 10 ℃ with interior (having improved accuracy of temperature control), and temperature control is accurate, and is dynamically corresponding fast, greatly fuel economy.
2) introduce fuzzy self-adaption in the temperature control section of the heating region of heat treatment furnace and revise pid parameter in real time, make the system dynamics response better, overshoot is littler, and the adjusting time shortens, and band can better adapt to different regulating working conditions from the system of adjusting.
3) the present invention improves the cold steel billet of roller bottom type continuous heat treating furnace heating zone and enters and cause the control difficulty that the big disturbance of furnace temperature brings.
Description of drawings
Fig. 1 is the structured flowchart of conventional PID pulse regulation control in the prior art.
Fig. 2 is a temperature control section temperature synoptic diagram under the former heat supply situation of system held.
Fig. 3 is a temperature control section temperature synoptic diagram under the conventional PID pulse regulation control situation.
Fig. 4 is a temperature control section temperature synoptic diagram under the thermal energy balance control situation.
Fig. 5 is the structured flowchart of Fuzzy Adaptive PID pulse regulation control.
Fig. 6 is the comparison diagram of Fuzzy Adaptive PID pulse regulation and conventional PID pulse regulation control response curve.
Fig. 7 is the membership function figure of e, ec and Kp, Ki in the Fuzzy Adaptive PID pulse regulation control, Kd.
Fig. 8 is the control texture block diagram of heating zone integral body of the present invention.
Wherein, 1-steel billet consumption of calorie, 2-fire box temperature, the extra heat supplied of 3-." d/dt " is to the time differentiate with error among Fig. 5.
Embodiment
The invention will be further described in conjunction with the accompanying drawings with specific embodiment below:
In the heat treatment process of traditional pulse-combustion, temperature controlling is all taked conventional PID pulse regulation control, and under the temperature-controlled process of heat treatment furnace pulse-combustion provided by the invention, the heating region of heat treatment furnace and the temperature control in soaking zone are taked the different treatment mode, be that heating region is taked different temperature control technologies according to the difference on opportunity that steel billet enters, and the parameter of this regional PID control is blured oneself adjust, and the soaking zone takes conventional PID pulse regulation to carry out temperature control all the time.
The following step of the concrete employing of the present invention:
1. when the temperature control section of heating region does not have steel billet to enter, carry out temperature control with the Fuzzy Adaptive PID pulse regulation;
2. know when having steel billet to enter heating region according to heat treatment furnace material tracking information, cut off the control of Fuzzy Adaptive PID pulse regulation, carry out thermal energy balance control;
When 3. knowing that according to heat treatment furnace material tracking information steel billet leaves, switch to the Fuzzy Adaptive PID pulse regulation again and carry out temperature control, constant this temperature control section temperature;
4. take conventional PID pulse regulation to carry out temperature control all the time in the soaking zone.
Described step is carried out temperature when controlling with the Fuzzy Adaptive PID pulse regulation in 1., further comprise following substep: the temperature deviation e and the temperature deviation velocity of variation ec that measure the temperature control section of heating region, with temperature deviation e and temperature deviation velocity of variation ec as fuzzy input, with parameter correction amount Δ Kp, Δ Ki, Δ Kd as output; Adopt off-line to set up, calculate fuzzy control table, deposit computer in; Kp=Kp0+ Δ Kp by formula, Ki=Ki0+ Δ Ki, Kd=Kd0+ Δ Kd, online correction PID pulse regulation parameter directly corresponds to output by input in the production; Kp represents to adjust the back scale-up factor, and Kp0 represents to adjust preceding scale-up factor, and Δ Kp represents the correcting value of scale-up factor; Ki represents to adjust the back integral coefficient, integral coefficient before Ki0 adjusts, and Δ Ki represents the correcting value of integral coefficient; Kd represents to adjust preceding differential coefficient, and Kd0 represents to adjust the back differential coefficient, and Δ Kd represents the correcting value of differential coefficient.It is as follows that this zone takes fuzzy rule to go to revise the pid parameter reason: though steel billet takes thermal equilibrium control to be greatly improved to dynamic response when entering, but the steel billet of heating zone enter before and leave after still near this temperature control section, concerning the relative soaking zone of Temperature Influence, still belong to bigger, and the lifting of furnace temperature has the intensive asymmetry, and is non-linear.Therefore the fixed pid parameter can not finely satisfy the demand of system, needs constantly to proofread and correct.
2. step adds the power that this regional steel billet is wanted additional absorbent heat on former PID temperature control keeps the power output basis of furnace temperature, to keep this steel billet this temperature control section of passing by, heat balance between supply and demand.Because technology is considered the variation of the process system that the slab thickness specification causes, thereby determines different thickness steel billet speed by technology, so can think that the heat absorption of steel billet is directly proportional with volume.
Step concrete grammar 2. is to determine that by the field experiment method certain steel billet at certain temperature control zone unit volume and required heat supply P1 of time, is recorded in these data in the control law.If certain temperature control zone peak power is Y1, during production, before if this kind steel billet enters this zone, this district's Fuzzy Adaptive PID pulse regulation is output as W1 at this moment, and (W1 is the numerical value of 0-100%, represent the per-cent of power output), steel billet enters switching controls mode behind this zone, and a certain moment of this section is output as X1=W1+U1, wherein U1 (W1 is the numerical value of 0-100%) is in order to reach the extra heat supply that energy balance is carried out, and U1=(P1 * a * b * c)/Y1.A, b, the length that c enters for the current time steel billet.The a=0 in a flash after walking after steel billet is walked, switches back the control of Fuzzy Adaptive PID pulse regulation, owing to so the output X1=W1 of this moment is consistent with the output of switching preceding Fuzzy Adaptive PID pulse regulation, can not have disturbance so switch.
2-6's compares the obtained technique effect of temperature-controlled process of analyzing heat treatment furnace pulse-combustion provided by the invention in conjunction with the accompanying drawings.
Figure 2 shows that temperature control section temperature synoptic diagram under the former heat supply situation of system held, by this figure as seen, in heating zone, if system still kept former heat supply after steel billet entered this temperature control section, then after steel billet was walked, this temperature control section temperature can descend owing to being taken away a part by steel billet.
Figure 3 shows that temperature control section temperature synoptic diagram under the conventional PID pulse regulation control situation, by this figure as seen, carry out temperature control with conventional PID pulse regulation, because the temperature that thermopair records meeting is owing to entering and leaving of steel billet fluctuated widely, again because the kind of steel billet, volume and rate of advance all have nothing in common with each other, and under the PID system, significantly temperature variation is all carried out the almost same adjustment of output significantly again.So system can't carry out temperature control accurately, and causes big overshoot, makes heat supply too much, furnace temperature raises, and wastes energy.
Figure 4 shows that temperature control section temperature synoptic diagram under the thermal energy balance control situation, by this figure as seen, the balancing control of heat energy can additionally be replenished the heat of the absorption of steel billet keeping on the basis of former furnace temperature, heat supply is gone in heat absorption by steel billet, to offset the temperature reduction that steel billet is taken away.
Figure 5 shows that the structured flowchart of Fuzzy Adaptive PID pulse regulation control (fuzzy self-adaptation pulsed burning control), by this figure as seen, can remove continuous corrected parameter Kp, Ki, Kd by fuzzy rule in heating zone, make pid parameter Adaption Control System better.
Figure 6 shows that the comparison of Fuzzy Adaptive PID pulse regulation and conventional PID pulse regulation control response curve, by this figure as seen, fuzzy has better dynamic response than conventional PID, and the adjusting time is short, and overshoot is little, faster system response.
Figure 7 shows that the membership function figure of e, ec in the Fuzzy Adaptive PID pulse regulation control and Kp, Ki, Kd.
Comparison by accompanying drawing 2-4 can learn that the balancing control technology of introducing heat energy at heating region makes temperature regulation more accurate, and has reduced energy waste.
Figure 8 shows that the control texture block diagram of heating zone integral body of the present invention, by this figure as seen, when not having steel billet to enter, heating zone take the Fuzzy Adaptive PID pulse regulation to carry out Temperature Feedback control, cancellation Fuzzy Adaptive PID pulse regulation when heating zone has steel billet to enter and take thermal energy balance control to carry out pulse regulation.
Wherein the adaptive establishment method of heating zone fuzzy is as follows:
In (15～15) ℃, the basic domain of rate of temperature change ec is (9～9) ℃/min through the basic domain of the fluctuation e of the controlled temperature of press steel billet volume heat supply processing; The basic domain of Δ Kp, Δ Ki, Δ Kd is respectively (0.9～0.9), (0.09～0.09), (0.3～0.3).The fuzzy language variable quantize to the integer domain 6 ,-5 ,-4 ,-3 ,-2 ,-1,0,1,2,3,4,5,6}, so quantizing factor K
e=6/15=2/5, K
Ec=6/9=2/3; Scale factor Δ K
Up=0.9/6=0.15, Δ K
Ui=0.09/6=0.015, Δ K
Ud=0.3/6=0.005.Its fuzzy subset is e, ec, and Kp, Ki, Kd={NB, NM, NS, ZO, PS, PM, PB}, element is represented respectively and born greatly in the subclass, and is negative little in bearing, and zero, just little, hit exactly, honest.
It is as follows to blur the assignment table by the membership function of Fig. 7:
According to pid parameter adjust principle and commissioning test experience, the control law that can list output variable Δ Kp, Δ Ki, Δ Kd is as follows:
Δ K
PThe ambiguity correction rule list
The ambiguity correction rule list of Δ Ki
The ambiguity correction control rule tables of Δ Kd
The Design of Fuzzy Logic Controller adopts average weighted ambiguity solution decision method, chooses membership function as weighting coefficient, and off-line utilizes Matlab to programme to realize the calculating of fuzzy control table, and the result is as follows:
The fuzzy adjustment control table of Δ Kp parameter
The fuzzy adjustment control table of Δ Ki parameter
The fuzzy adjustment control table of Δ Kd parameter
Above-mentioned question blank is stored among the PLC.In process control, PLC is directly according to the sum of errors error rate with the performance of domain element form of sampling and the domain conversion gets, capable and j row find with sum of errors error rate correspondence by the i of question blank, with the manipulated variable of domain element form performance, manipulated variable multiply by above-mentioned scale factor and just obtains actual correction manipulated variable Δ Kp, Δ Ki, Δ Kd then equally.Online self-tuning pid parameter, calculation formula is as follows:
Kp＝Kp0+ΔKp，Ki＝Ki0+ΔKi，Kd＝Kd0+ΔKd。
Fuzzy control strategy is realized by calculated off-line and online query like this, can obtain controlling performance and good real time performance preferably.
The heating zone energy is supplied with the procurement process of rule and is taked laboratory method.Because technology has been considered the variation of the process system that the slab specification causes, thereby determines steel billet speed by technology, so can think that the heat absorption of steel billet is directly proportional with volume.Each steel grade is by each temperature controlled region experience technological temperature of technology establishment.Debug phase, when entering the temperature control section, a certain steel grade carries out temperature control, so that this steel billet is by after this temperature control section, this section temperature substantially constant, the specification and the speed of record test this moment steel billet.The design total power Y1 that the power of all burners of temperature control section thus adds up and can obtain the heat supply section, if this steel billet length is a, b, c, this temperature control segment length are L1, and steel billet speed is V1, by the time be t1=(L1+a)/V1, steel billet is output as W1 (W1 is the numerical value of 0-100%, represent the per-cent of power output) before entering, by steel billet by during the power output valve in per moment be easy to accumulative total and go out total heat supply Q1 that steel billet passes through temperature control section therebetween.Therefore the extra heat supply of steel billet during this zone can be expressed as Q=Q1-W1 * Y1 * t1, thereby can calculate this kind steel billet and be about (Q * V1)/[a * b * c * L1] in the required heat supply of this temperature control section unit time unit length, promptly the required standard unit rated output of this steel grade all records information such as the specified power demand of this steel grade unit of this temperature control section, steel grade in the temperature controlled rule then.If technology has been considered the different factor of different steel grade heat absorptions to the setting of furnace temperature and steel billet speed, can think that then any kind of steel billet all has identical required rated output through this zone; If do not consider on the technology, then also need according to said method to remove to improve temperature controlled each steel grade specification form in the engineering debug stage, finish by the formulation of steel billet volume heat supply control law thus.Carry out following temperature control by the output rating of this rule table definition and the self-checkign n. rule of fuzzy at last.
During production, before establishing this kind steel billet and entering this zone, this district regulates with fuzzy, and the pid parameter correction rule as stated above.Control for Kiln Temperature in the technique initialization temperature, is output as W1 (W1 is the numerical value of 0-100%, represents the per-cent of power output) this moment, and steel billet enters switching controls mode behind this zone.For guaranteeing heat supply, the output in this a certain moment of section should be X1=W1+U1 after the switching, and wherein U1 (U1 is the numerical value of 0-100%) is in order to reach the extra heat supply that energy balance is carried out, and U1=(P1 * a * b * c)/Y1, parameter a, b, the length that c enters for the current time steel billet.As seen, along with entering of steel billet, heat supply output can increase; Equally along with the leaving of steel billet, the heat supply of steel billet reduces gradually.After steel billet is walked, switch back fuzzy control, because the a=0 in a flash after walking, so the output X1=W1 of this moment is consistent with the fuzzy output before switching, therefore switching not to have disturbance.
Further provide a specific embodiment of the present invention below:
An existing continuous annealing furnace divides 12 section 24 district's temperature control, two temperature controlled region about in the of every section.Preceding 8 sections is heating zone, and back 4 sections is soaking zone.The first eight section was taked fuzzy pulse-combustion control when no steel billet entered, and back four sections is conventional PID pulse-combustion control.If certain steel grade is determined design temperature by production technique, 820 ℃ of 1-2 sections, 850 ℃ of 3-4 sections, 5 sections 870 ℃, 6 sections 890 ℃, 900 ℃ of 7-12 sections, 900 ℃ of target tapping temperatures, the fuzzy or conventional PID pulse regulation during no steel billet all can be carried out precise dose control.
At first formulate the control law of the heat supply of the volume press steel billet and steel grade characteristic, 1 section 1 district is the example explanation with heating zone, steel billet is through out-of-date increasing heating power when advancing steel, with manual debugging method control 1 district's temperature, the temperature that as far as possible makes steel billet walk 1 district, back still remains on about 820 degree, write down the master data steel grade 15MnNbR of this piece steel billet this moment, long 8000mm, wide 1800mm, thick 60mm, travelling speed 0.49m/min, and the heat supplied Q1=1594776kj of instrumental system statistics, because 1 district's total power is Y1=2200kw, advance the preceding 1 district output of steel W1=13%, and 1 section length 8000mm is Q=Q1-W1 * Y1 * t1=1034449kj so can be regarded as out the extra heat supply of steel billet during this zone.Can calculate this steel grade thus at the normal rated power P1=of unit in 1 district (Q * V1)/[a * b * c * L1]=1222.22kw.The information of steel grade, P1, Y1 is recorded in the control law, tentatively finishes the rule definition in this district.
In heating zone, steel billet enters before this temperature controlled region, and the PID Controlling System is controlled at 820 degree to temperature by the technique initialization temperature, and pid parameter blurs from adjusting therebetween.Adjust and give an example with Kp, be initially set 1.5 as Kp, regional temperature was 815 ℃ before steel billet entered, and descended e=-5 after the obfuscation * (2/5)=-2, ec=-3 * (2/3)=-2, corresponding Δ K with the speed of 3 ℃ of per minutes
PAdjust control table, Δ K
PDe-fuzzy is 4 * 0.15=0.6, so can get the Kp=1.5+0.6=2.1 behind the ambiguity correction, Ki, Kd are also by this correction.Conditioning period, establish the W1=14% that power is output as full power output this moment, treats that steel billet enters 1 district, cuts out fuzzy control, carries out by power output control.This moment is along with the volume that steel billet enters this district increases, system adds high-power by the rule adjustment, if the wide 1600mm of steel billet, thick 80mm, certain enters zone length 4000mm constantly, then output rating this moment should be X1=(1.6 * 0.08 * 4 * 1222.22)/2200+14%=42.4%, and carry out pulse sequence control by 42.4% power output this moment.
Along with this district of leaving of steel billet, power output reduces gradually, leaves 1 district fully until steel billet, the no steel in 1 district, output rating is 14%, switches to fuzzy (if 1 district still has steel to come in, then do not switch, continue by volume power and control), after steel billet leaves temperature still is stabilized in 820 degree.
1-8 section heating zone is so control all, and 9-12 section soaking zone PID control is precise and stable at 900 degree with temperature routinely all the time.
Claims (5)
1. the temperature-controlled process of a heat treatment furnace pulse-combustion is characterized in that, may further comprise the steps:
1. when the temperature control section of heating region does not have steel billet to enter, carry out temperature control with the Fuzzy Adaptive PID pulse regulation;
2. know when having steel billet to enter heating region according to heat treatment furnace material tracking information, cut off the control of Fuzzy Adaptive PID pulse regulation, carry out thermal energy balance control;
When 3. knowing that according to heat treatment furnace material tracking information steel billet leaves, switch to the Fuzzy Adaptive PID pulse regulation again and carry out temperature control, constant this temperature control section temperature;
4. take conventional PID pulse regulation to carry out temperature control all the time in the soaking zone.
2. the temperature-controlled process of a kind of heat treatment furnace pulse-combustion according to claim 1, it is characterized in that: step Fuzzy Adaptive PID pulse regulation 1. is to add parameter fuzzy to proofread and correct strategy on the basis of conventional PID pulse regulation, so that the system dynamics response is better, parameter fuzzy is proofreaied and correct strategy and is realized by calculated off-line and online query.
3. the temperature-controlled process of a kind of heat treatment furnace pulse-combustion according to claim 1, it is characterized in that: step is 2. described, and to carry out thermal energy balance control be after cutting off step Fuzzy Adaptive PID pulse regulation control 1., on the power output basis of Fuzzy Adaptive PID pulse regulation control, add the power that this heating region steel billet is wanted additional absorbent heat, to keep steel billet this temperature control section of passing by, heat balance between supply and demand.
4. the temperature-controlled process of a kind of heat treatment furnace pulse-combustion according to claim 1 is characterized in that: described step is carried out temperature when controlling with the Fuzzy Adaptive PID pulse regulation in 1., further comprises following substep:
Measure the temperature deviation e and the temperature deviation velocity of variation ec of the temperature control section of heating region, import as fuzzy with temperature deviation e and temperature deviation velocity of variation ec, with parameter correction amount Δ Kp, Δ Ki, Δ Kd as output;
Adopt off-line to set up, calculate fuzzy control table, deposit computer in;
Kp=Kp0+ Δ Kp by formula, Ki=Ki0+ Δ Ki, Kd=Kd0+ Δ Kd, online correction PID pulse regulation parameter directly corresponds to output by input in the production; Kp represents to adjust the back scale-up factor, and Kp0 represents to adjust preceding scale-up factor, and Δ Kp represents the correcting value of scale-up factor; Ki represents to adjust the back integral coefficient, integral coefficient before Ki0 adjusts, and Δ Ki represents the correcting value of integral coefficient; Kd represents to adjust preceding differential coefficient, and Kd0 represents to adjust the back differential coefficient, and Δ Kd represents the correcting value of differential coefficient.
5. the temperature-controlled process of a kind of heat treatment furnace pulse-combustion according to claim 1 is characterized in that: when 2. described step carries out thermal energy balance control, further comprise following substep:
Determine that by the field experiment method certain steel billet at certain temperature control zone unit volume and required heat supply P1 of time, is recorded in these data in the control law;
In the production, steel billet switches to this control mode from the Fuzzy Adaptive PID pulse regulation after entering this zone, the a certain moment of this zone is output as X1=W1+U1, wherein W1 is that steel billet enters the routine output when carrying out the Fuzzy Adaptive PID pulse regulation before this zone, U1 is in order to reach the extra heat supply that energy balance is carried out, U1=(P1 * a * b * c)/Y1, wherein W1, U1 all represent the per-cent of power output, the length that a, b, c enter for the current time steel billet, Y1 be temperature control zone peak power for this reason;
Steel billet is passed by behind this zone, switches back the Fuzzy Adaptive PID pulse regulation.
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Cited By (23)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101949009A (en) * | 2010-09-07 | 2011-01-19 | 理想能源设备(上海)有限公司 | Temperature control method of plasma chemical vapor deposition base |
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Family Cites Families (5)
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-
2009
- 2009-09-29 CN CN2009102723324A patent/CN101693945B/en active Active
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| US9383745B2 (en) | 2010-10-27 | 2016-07-05 | Baoshan Iron & Steel Co., Ltd. | Method and device for controlling furnace temperature of burning heating furnace |
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