CN103054152B - Tobacco redryer moisture control method based on forecast Product Improve (PI) algorithm control system - Google Patents
Tobacco redryer moisture control method based on forecast Product Improve (PI) algorithm control system Download PDFInfo
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Abstract
The invention discloses a tobacco redryer moisture control method based on a forecast Product Improve (PI) algorithm control system. The forecast PI algorithm control system achieves the method through a forecast PI controller. The tobacco redryer moisture control method includes the following steps: the initial opening value of an inlet humidification steam valve of an ordering machine is set according to experience, and the forecast PI algorithm control system adjusts the opening degree of the inlet steam valve and an outlet steam valve according to moisture and the opening limit value of an outlet of the ordering machine; feeding flow signals are collected, and the forecast PI algorithm control system adjusts the humidification amount of a mixed nozzle according to the feeding flow signals; and the tobacco control temperature and the hot air control temperature are preset in the forecast PI algorithm control system, the hot air temperature output by a heat exchanger and the tobacco temperature at the outlet position of the ordering machine are collected and fed back to the forecast PI algorithm control system, and then the forecast PI algorithm control system controls the temperature of the barrel wall of an ordering barrel. The tobacco redryer moisture control method achieves automatic control on moisture and temperature of a whole tobacco redrying line, improves field process control capability, and integrally improves tobacco redrying processing quality.
Description
Technical field
The present invention relates to beating and double roasting technical field, be specifically related to a kind of tobacco redryer humidity control method based on predictive PI algorithm control system.
Background technology
Tobacco redrying process is interference more than, close coupling, large time delay, non-linear, uncertain large thermal capacitance process.In process of production, exist all the time the heat transfer medium (hot gas) with uniform temperature, humidity, pressure, flow velocity and in relative motion process, heat exchange action occurs with tobacco leaf, thereby reach the objects such as dry, cooling, moisture regain of tobacco leaf.Arbitrary zone temperatures of various process, the variation of humidity, all can have influence on the variation of each section parameter thereafter and the variation of outlet moisture content in leaves content, and this just makes the mechanism model of the system of setting up become quite complicated, is in particular in the following aspects:
1) disturbing factor is many: the moisture of entrance tobacco leaf, temperature, the place of production, kind, grade have very important impact to moisture content of outlet; Pressure, temperature and the degree of saturation of heating steam and moisture regain steam directly affects moisture and the temperature of outlet tobacco leaf; The temperature of surrounding air, humidity also have larger remote-effects to the moisture content in leaves of cooling stage and temperature.
2) there is certain problem in measuring instrument, and particularly infrared moisture meter precision is subject to external influence larger, and a reference value is easily drifted about, and cold-room moisture instrument measured value is subject to the pollution of electrical noise, and measured value fluctuation is frequent, serious impact the performance of closed-loop control.
3) production process characteristic is changeable: be subject to anterior impact of beating leaf process, the speed of tobacco leaf feed rate, tobacco leaf feeding machine sometimes needs to adjust and meets the continuous of production, has so just caused the characterisitic parameter of process to change; Meanwhile, tobacco redrying is worked under the environment such as high temperature, high humidity and dust, and equipment also can occur extremely, and in this case, operating personnel need to change technological operation at any time, make process characteristic have diversity, are difficult to realize stable PID closed-loop control.
4) control of moisture is a Large Time Delay Process: often after moisture content of outlet changes, then it is controlled is not in time, the direct result causing be moisture in setting value fluctuation up and down, can not stablize.
The existence of above reason has increased the difficulty that redrying moisture content of outlet is controlled, and pid control algorithm itself has a lot of limitation, as it is the non-minimum phase system with reverse characteristic, has serious frequent procedures system, the multivariable system withstrong coupling disturbing, is with constrained control system and Large-lag System, use the closed-loop control that simple pid control algorithm carries out even can not guarantee the stable of system, let alone the precision of controlling.
At classical control system, it more pays attention to the monomer running of equipment and the chain operation between equipment, for specific control loop, still adopt traditional pid algorithm, and these control loops have independence of one's own, ignored " force action " between multifactor, for example: the moisture content of roasting sheet outlet tobacco leaf is largely subject to the joint effect of each control loop.It is example that the dry section temperature of take is controlled, for the response curve of a control system as shown in Figure 1: when actual temperature is during lower than setting value, strengthen steam valve aperture, otherwise actual temperature just turns down steam valve during higher than setting value.According to the deviation between setting value and measured value, regulate the output of control, the thought of Here it is traditional PI D-algorithm.But because the system running in real process all has inertia, when steam valve, open greatly and also keep to certain aperture, make actual temperature rise near setting value (as OA section in Fig. 1), due to effect of inertia, will certainly occur overshoot (AB section in Fig. 1).Now turn down steam valve, temperature declines (BC section in Fig. 1), again due to inertia reason, occurs reverse overshoot (CD section in Fig. 1) again ... after adjusting repeatedly after a while, finally make temperature stabilization upper and lower what set value.The quality that pid parameter is adjusted, has determined that curve finally reaches to stablize the required time.And if by controlling manually, due to experience difference, the stabilization time of operative employee's control line of varying level is different in size, veteran operative employee often abandons the automatic PID of computer and regulates and with the experience of oneself, control completely, as shown in Figure 1, in temperature uphill process (OA section in Fig. 1), while not reaching when the approaching setting value of actual value, start in advance to reduce gradually the aperture of steam valve, even there is like this overshoot (AB section in Fig. 1), its amount is also smaller, and actual value very soon once more tune downwards, toward setting value direction approximation.In whole process, the self-dependent micro-judgment of operative employee, has carried out opening greatly, has reduced controlling to steam valve in advance.。Yet, in production process, be often subject to the impact (as steam pressure, setting value change, tobacco leaf flow moisture size etc.) of various factors at the scene, control the many of complexity that become.Moreover in whole roasting sheet machine control system, the loop of need controlling has ten more than (even more), still rely on artificial experience regulation and control, its difficulty well imagines, the degree of accuracy cannot guarantee.Therefore to produce high-quality finished product, must give overall consideration to process of manufacture, except analyzing single loop, on the impact of finished product, also must set up production models and analyze influencing each other between a plurality of loops, external disturbance to the impact of controlling and production status constraint etc.Only have by creating out production models accurately, various factors and correlation thereof are all included in to whole system and consider, could realize outstanding control effect.
Summary of the invention
The technical problem that the present invention solves is to overcome the deficiencies in the prior art, and a kind of automatic control of tobacco redrying process being carried out to moisture and temperature is provided, and can promote the tobacco redryer humidity control method based on predictive PI algorithm control system of control accuracy.
For solving the problems of the technologies described above, technical scheme of the present invention is as follows:
A tobacco redryer humidity control method based on predictive PI algorithm control system, described predictive PI algorithm control system realizes by predictive PI controller, and described method comprises the steps:
Rule of thumb set the initial opening value of tobacco leaf moisting machine entrance humidification steam valve, predictive PI algorithm control system regulates the aperture of inlet steam valve and outlet steam valve according to tobacco leaf moisting machine moisture content of outlet and aperture limiting value;
Gather feed rate signal, utilize predictive PI algorithm control system according to feed rate Signal Regulation mixing nozzle humidification amount;
In predictive PI algorithm control system, preset tobacco leaf and control temperature and hot blast control temperature, the hot blast temperature of collection heat exchanger output and the tobacco leaf temperature feedback in tobacco leaf moisting machine exit return predictive PI algorithm control system the barrel temperature of leaves moisting cylinder are controlled.
Preferably, described method also comprises:
Utilize predictive PI algorithm control system with the temperature of dry section in the roasting sheet machine of flow-control of vapours;
Utilize predictive PI algorithm control system take baking the moisture value that in sheet machine, cold-zone exports is target, adjusts the desired temperature of dry section.
Preferably, described method also comprises:
Utilize predictive PI algorithm control system according to the heating steam in the district that gets damp again in roasting sheet machine, to control the temperature in moisture regain district;
Utilizing predictive PI algorithm control system to take the tobacco leaf temperature of moisture regain district outlet is target, automatically adjusts the desired temperature in moisture regain district;
Utilize predictive PI algorithm control system to regulate amount of water according to moisture regain district moisture content of outlet value.
Preferably, described method also comprises:
Utilize predictive PI algorithm control system that cold-zone moisture content of outlet and chain vehicle speed are carried out to FEEDFORWARD CONTROL as the disturbance variable of moisture regain district control.
Preferably, cold-zone moisture content of outlet value and moisture regain district moisture content of outlet value are removed and are made an uproar by numerical filtering method.
Compared with prior art, the beneficial effect of technical solution of the present invention is:
(1) the predictive PI algorithm control system in the present invention adopts predictive PI control algolithm to control tobacco redrying process, compare with common pid algorithm, output signal and inhibition measurement noise that it has advantages of prediction Large Time Delay Process, be suitable for the steady control of large time delay object.
(2) the present invention adopts predictive PI algorithm control system to realize the moisture of the whole line of tobacco redrying and the automatic control of temperature, comprise moisture, the temperature of a profit, two profits and three emphasis process sections of roasting sheet are jointly controlled, improve site technique control ability, Integral lifting tobacco redrying crudy.
Accompanying drawing explanation
Fig. 1 is the response curve schematic diagram that utilizes prior art to control dry section temperature.
Fig. 2 is the flow chart of the specific embodiment of the invention.
The specific embodiment
Below in conjunction with drawings and Examples, technical scheme of the present invention is described further.
In embodiments of the invention, be mainly to set up the redrying process method of quality control of upstream and downstream interlock in leaves moisting and two emphasis process sections of roasting sheet.In the present embodiment, using advanced first moisture content in leaves, the temperature control loop joint of controlling in beating and double roasting of the moisture of hot blast leaves moisting workshop section, the stable control of its moisture, temperature index can play a major role to the crush resistance of tobacco leaf in a large amount of process such as follow-up wind dispensing, redrying, and stable leaves moisting moisture content of outlet creates conditions for improving redrying moisture precision.Secondly, carry out advanced control of moisture of redrying workshop section, realizing dry section temperature band precisely controls, for basic condition is created in characteristic redrying, really accomplish that low temperature is roasting slowly, and realize dry section, cold-zone and moisture regain combined regulating, to reach, moisture content of outlet is stablized for a long time and precision is high, thereby sets up leaves moisting and the moisture automation control completely of roasting sheet.
As shown in Figure 1, be the flow chart of this specific embodiment, a kind of tobacco redryer humidity control method based on predictive PI algorithm control system, wherein predictive PI algorithm control system realizes by predictive PI controller, and it specifically comprises the steps: described method
(S1) leaves moisting moisture content of outlet is controlled:
(S11) rule of thumb set the initial opening value of tobacco leaf moisting machine entrance humidification steam valve, predictive PI algorithm control system is adjusted the aperture of inlet steam valve and outlet steam valve according to tobacco leaf moisting machine moisture content of outlet and aperture limiting value.The tobacco leaf moisting machine entrance and exit of existing tobacco redrying has all been arranged humidification steam jet, and these two nozzles are different to the regulating action of tobacco leaf moisting machine moisture content of outlet: the regulating action of outlet nozzle is obvious, reaction is very fast, is convenient to control; But from technological angle, the wetting action time of entrance humidification is longer, is more conducive to improve the rate that runs through of tobacco leaf.Therefore, predictive PI algorithm control system is in the control strategy design to leaves moisting moisture content of outlet, and it is paid the utmost attention to and adopts inlet steam valve to carry out moisture control.For preventing water stain cigarette, by operating personnel, rule of thumb set the aperture limiting value of entrance humidification steam valve.Predictive PI algorithm control system is preferentially adjusted the aperture of inlet steam valve according to aperture limiting value, when entrance humidification steam valve aperture reaches the aperture limiting value of setting, tobacco leaf moisting machine moisture content of outlet still can not meet technological requirement, and now, tobacco leaf moisting machine outlet humidification steam valve just participates in moisture control procedure.
To producing the head stage, because instrumentation cannot normally detect moisture content of outlet, predictive PI algorithm control system can not drop into closed-loop control, therefore designs a rational valve position setting value and carries out PREDICTIVE CONTROL, reaches the generation that reduces to greatest extent defective tobacco leaf.
(S12) gather feed rate signal, utilize predictive PI algorithm control system to adjust mixing nozzle humidification amount according to feed rate signal; Wherein, mixing nozzle is a part for redrying machine, for steam and water mixed aerosol are sprayed into, can avoid large water droplet.The fluctuation of feed rate is also a very important disturbance factor on the impact of tobacco leaf moisting machine moisture content of outlet, therefore, gathers the humidification amount that feed rate signal is adjusted mixing nozzle.
In addition, the rotating speed of tobacco leaf moisting machine directly affects the time of staying of tobacco leaf in tobacco leaf moisting machine, and then causes the variation of moisture content of outlet, and affects the rate that runs through of tobacco leaf, one of feed forward variable that predictive PI algorithm control system is also controlled tobacco leaf moisting machine rotating speed as moisture.
(S2) leaves moisting outlet temperature is controlled:
In predictive PI algorithm control system, preset tobacco leaf and control temperature and hot blast control temperature, the hot blast temperature of collection heat exchanger output and the tobacco leaf temperature feedback in tobacco leaf moisting machine exit return predictive PI algorithm control system the barrel temperature of leaves moisting cylinder are controlled.Tobacco leaf moisting machine outlet temperature is an important quality index, the current not yet instrumentation of configure dedicated, the direct tobacco leaf temperature in measuring cylinder, operative employee goes to judge that according to the color of tobacco leaf moisting machine exit tobacco leaf, feel and hot blast temperature whether leaves moisting temperature is suitable, the means that regulate are the heating steam again of first air circulation, and air circulation is set based on experience value automatically; With this, realize the indirect control to leaves moisting temperature, the fluctuation range of leaves moisting temperature is controlled in ± 1.0 ℃ in.
(S3) roasting sheet machine moisture is controlled: predictive PI algorithm control system, to ten of moisture control loops in roasting sheet machine, is specially totally: dry district's temperature, dry two district's temperature, dry three district's temperature, dry four district's temperature, cold-zone moisture, cold-zone temperature, moisture regain one district's temperature, moisture regain two district's temperature, moisture content of outlet, outlet temperature.Due to very long to the distance of moisture regain outlet from roasting sheet machine entrance, the production process time is very long, if the temperature that the actual moisture of tobacco leaf of producing according to the outlet of moisture regain district removes to adjust back four dry sections can form serious hysteresis, brings larger interference to the control of moisture.For further improving control accuracy, do not affecting under the prerequisite of technological requirement, the present invention carries out constrained closed-loop control to cold-zone moisture content of outlet, and the feed forward variable using cold-zone moisture content of outlet as moisture regain district moisture content of outlet control loop.Therefore the present invention regards production line by dry section (cold-zone) and two, moisture regain district part as and forms, and concrete control procedure is as follows:
(S31) utilize predictive PI algorithm control system with the temperature of dry section in the roasting sheet machine of flow-control of vapours;
(S32) utilize predictive PI algorithm control system take baking the moisture value that in sheet machine, cold-zone exports is target, adjusts the desired temperature of dry section.
(S33) utilize predictive PI algorithm control system according to the heating steam in the district that gets damp again in roasting sheet machine, to control the temperature in moisture regain district;
(S34) utilizing predictive PI algorithm control system to take the tobacco leaf temperature of moisture regain district outlet is target, automatically adjusts the desired temperature in moisture regain district;
(S35) utilize predictive PI algorithm control system to regulate amount of water according to moisture regain district moisture content of outlet value.
In step (S31)-(S32), it controls target is coolant outlet moisture, and it usings dry section temperature as regulating measure, forms cold-zone moisture and the control of dry section temperature cascade.First with the temperature of four dry sections of flow-control of vapours, on this basis, the moisture of cold-zone outlet of take is target, adjusts the desired temperature of four dry sections, makes within the moisture value of cold-zone outlet is controlled at a rational scope.
In step (S33)-(S35), it controls moisture content in leaves and temperature that target is the outlet of moisture regain district.A get damp again district, two district's temperature and the amount of water of take is regulating measure, forms temperature moisture decoupling zero tandem and controls.The temperature in two moisture regain districts is controlled respectively in the heating steam in moisture regain district, and the get damp again tobacco leaf temperature of district outlet of take is target, automatically adjusts the desired temperature in two moisture regain districts; And regulate amount of water according to moisture regain district moisture content of outlet.Owing to existing stronger coupling between temperature and moisture in moisture regain district, therefore adopt Uncoupling Control Based, within can be effectively the moisture content in leaves of outlet and temperature being controlled to technological requirement scope.
And, for accelerating the response of control system, improving the control accuracy of final goal, the present invention also comprises step (S36):
Utilize predictive PI algorithm control system that cold-zone moisture content of outlet and chain vehicle speed are carried out to FEEDFORWARD CONTROL as the disturbance variable of moisture regain district control.
Meanwhile, moisture regain district's moisture content of outlet and cold-zone moisture there will be noise jamming when measuring, and have a strong impact on the normal work of control system.The present invention adopts advanced numerical filtering method to eliminate the interference of noise, changes the delay that general filtering method causes, and the dynamic characteristic ratio of adaptation moisture regain moisture content of outlet is feature faster, improves jamproof ability, improves filter effect.
In the present invention, its discrete form of predictive PI algorithm that predictive PI algorithm control system adopts is:
；
；
In formula:
1, u (k) represents the regulation output of control loop, for example, and the steam control valve door aperture of the temperature control loop of dry section.
represent the increment output of control loop.
2, in discrete logarithm, k represents a certain moment, and k-1 represents previous moment, and τ represents moment point.
3,
be used to the armlet response speed of regulation and control system.When
time, system closed loop response is slower; When
time, system closed loop response is very fast.
4,
for systematic error.
5,
for system initial gain,
for initial time constant,
for time constant;
6,
for affecting the correlated variables of desired value, as have influence on the cold-room moisture of moisture content of outlet, district's high-pressure pump atomization water yield that gets damp again, moisture regain district quantity of steam etc.
At the above-mentioned predictive PI algorithm current deviation of chosen settings and actual value not only
, also chosen current time deviation and the deviation of deviation constantly before
, can identify the variation tendency of current control curve.And adopt the error between the actual output of process and model output in Model Predictive Control
carry out feedback compensation, simultaneously the variation of each correlative
count in the lump.
As shown in Figure 1, it is example that the above-mentioned dry section temperature of take is controlled, when actual temperature is lower than setting value, predictive PID algorithm is by analyzing actual value and the variation tendency that sets value deviation, judging current control curve is CD section or the DE section in figure on earth, thereby control exactly steam valve, should continue to turn down or open greatly.
In addition, in real system, there is the impact of the factor such as non-linear, uncertain, in predictive PI control algolithm, based on the prediction output of varying model can not be not in full accord with the actual output of system, and in rolling optimization process, require again model output and real system output to be consistent, for this reason, can adopt the actual output of process and the model error between exporting to carry out feedback compensation in Model Predictive Control and make up this defect, such rolling optimization can overcome the uncertainty in system effectively.
Claims (3)
1. the tobacco redryer humidity control method based on predictive PI algorithm control system, is characterized in that, described predictive PI algorithm control system realizes by predictive PI controller, and described method comprises the steps:
Rule of thumb set the initial opening value of tobacco leaf moisting machine entrance humidification steam valve, predictive PI algorithm control system regulates the aperture of inlet steam valve and outlet steam valve according to tobacco leaf moisting machine moisture content of outlet and aperture limiting value;
Gather feed rate signal, utilize predictive PI algorithm control system according to feed rate Signal Regulation mixing nozzle humidification amount;
In predictive PI algorithm control system, preset tobacco leaf and control temperature and hot blast control temperature, the hot blast temperature of collection heat exchanger output and the tobacco leaf temperature feedback in tobacco leaf moisting machine exit return predictive PI algorithm control system the barrel temperature of leaves moisting cylinder are controlled;
Described method also comprises:
Utilize predictive PI algorithm control system with the temperature of dry section in the roasting sheet machine of flow-control of vapours;
Utilize predictive PI algorithm control system take baking the moisture value that in sheet machine, cold-zone exports is target, adjusts the desired temperature of dry section;
Utilize predictive PI algorithm control system according to the heating steam in the district that gets damp again in roasting sheet machine, to control the temperature in moisture regain district;
Utilizing predictive PI algorithm control system to take the tobacco leaf temperature of moisture regain district outlet is target, automatically adjusts the desired temperature in moisture regain district;
Utilize predictive PI algorithm control system to regulate amount of water according to moisture regain district moisture content of outlet value.
2. the tobacco redryer humidity control method based on predictive PI algorithm control system according to claim 1, is characterized in that, described method also comprises:
Utilize predictive PI algorithm control system that cold-zone moisture content of outlet and chain vehicle speed are carried out to FEEDFORWARD CONTROL as the disturbance variable of moisture regain district control.
3. the tobacco redryer humidity control method based on predictive PI algorithm control system according to claim 1, is characterized in that, cold-zone moisture content of outlet value and moisture regain district moisture content of outlet value are removed and made an uproar by numerical filtering method.
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