CN102871214A - Model prediction based cut tobacco dryer outlet moisture control method - Google Patents

Model prediction based cut tobacco dryer outlet moisture control method Download PDF

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CN102871214A
CN102871214A CN2012103762648A CN201210376264A CN102871214A CN 102871214 A CN102871214 A CN 102871214A CN 2012103762648 A CN2012103762648 A CN 2012103762648A CN 201210376264 A CN201210376264 A CN 201210376264A CN 102871214 A CN102871214 A CN 102871214A
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moisture
value
tobacco
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CN102871214B (en
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王小飞
杨玉波
彭辉
杨洪艺
李中锋
郭克松
张海军
彭晓燕
王文格
刘斌
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Changde Tobacco Machinery Co Ltd
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Abstract

The invention discloses a model prediction based cut tobacco dryer outlet moisture control method. Aiming at characteristics of complicated state changes of a cut tobacco dryer during working and diversity of production process modes, an intelligent integrated optimizing control system for the cut tobacco dryer based on an intelligent prediction model and an artificial intelligent operating mode is constructed so as to achieve comprehensive optimization and automation during cut tobacco drying. Aiming at different stages and different production process modes in production, a model capable of describing dynamic process characteristics depending on feed quantity and feed moisture is constructed. On the basis of the model, an on-line optimizing control algorithm which is capable of simultaneously or selectively adjusting multiple process variables, adapting to changes of the feed quantity and the feed moisture and overcoming mutual interference among the variables and influences of various uncertainties during cut tobacco drying and has self-adaptive and self-adjustment functions is designed, and strict requirements on outlet cut tobacco moisture in different working conditions can be met.

Description

Tobacco-dryer exit humidity control method based on model prediction
Technical field
The present invention relates to automatic control technology and its implementation of tobacco-dryer exit moisture.
Background technology
Enter drying process behind the tobacco leaf process leaf pretreatment process of cigar mill's scrap prodn. line, one of main purpose of drying process is exactly that baking silk cylinder outlet moisture in cut tobacco is controlled, baking silk cylinder adopts saturated vapor and hot blast that pipe tobacco is heated, moisture in the pipe tobacco is evaporated, by hot blast the moisture of pipe tobacco evaporation is taken away simultaneously, thereby reached the purpose of controlling moisture in cut tobacco.
The control of present baking silk moisture adopt simple pid algorithm and in addition some sequential logics control, relatively independent between each control loop, inaccurate coordination is difficult to accomplish that real closed loop controls automatically.Because it is many to affect the disturbing factor of pipe tobacco moisture content of outlet in baking silk process, as: charging moisture in cut tobacco, charging flow of tobacco, steam pressure, humidity discharging amount, hot blast temperature, wind speed etc., and this control procedure exists stronger non-linear, uncertain, coupling and hysteresis, exist subject matter moisture control fluctuation can occur at pipe tobacco head, rear relatively large, the quality of control quality is relevant with operating personnel's experience, quality and sense of responsibility; Be subjected to the impact of external disturbance large in the interstage, adjusting time length, control fluctuation need manual intervention greatly, and the higher control accuracy of the very difficult assurance of such moisture control system requires and the control stationarity, and the improvement of simultaneity factor and maintenance are relatively more difficult.The moisture content of outlet influence of fluctuations interior quality of pipe tobacco, reduce the quality of whole pipe tobacco
Summary of the invention
Technical problem solved by the invention is to provide a kind of tobacco-dryer exit humidity control method based on model prediction, to solve the shortcoming in the above-mentioned background technology.
The present invention comprises a kind of Intelligence integrated optimization control technology that is applicable to the cut-tobacco drier process control, can realize polyoptimal and the automation of a process of drying by the fire, for the production process of different phase and different production technology patterns, make up each class model and the optimization method thereof that to describe the dynamic characteristic of the course that exists with ... inlet amount and feed moisture, and go out to adapt to the variation of inlet amount and feed moisture take this model as foundational development, and have and overcome in the baking silk process phase mutual interference and the impact of various uncertain factor between variable, has self adaptation, the system optimizing control of self-regulating function.To reach the target that satisfies for the strict demand of different production phase outlet moisture in cut tobacco.
A kind of tobacco-dryer exit humidity control method based on model prediction, tobacco-dryer exit moisture control system is divided into three processes: do a process, pilot process and dried tail process, make moisture content of outlet enter as early as possible the stable state of setting value ± 0.5%, accelerate the speed that moisture rises, reduce the amount of doing head part " dried pipe tobacco "; In the interstage, keep moisture content of outlet to be stabilized near the setting value; In early stage in dried tail stage, pipe tobacco is stabilized on the setting value, the moisture content of outlet of pipe tobacco is descended prematurely, reduce the amount of doing portion " dried pipe tobacco ", step is as follows:
(1), for the characteristic of head production process No way out water content detection signal, based on the tobacco drying mechanism, adopt the thought of nonparametric model modeling, by several input curve samplings are obtained several points, thereby the impact of one section curve is converted into the impact of several sampled points, makes up the setting model based on the RBF-ARX model of the state-variables such as the temperature exist with ... inlet amount and feed moisture, wind-warm syndrome, humidity discharging air door, inlet flow rate;
(2), according to set each input quantity (humidity discharging air door, the cylinder temperature, wind-warm syndrome and inlet flow rate) the limits value of starting point, terminal point and the curve of output of the moisture content of outlet of expectation, calculate the optimum setting curve of each input quantity, make performance variable in the process of doing according to the Optimal Setting curvilinear motion.And according to the model parameter of supplied materials situation self-correcting state-variable setting model, improve it for the adaptive ability of head baking silk process, design self-adjusting fuzzy tracking control algorithm makes head baking silk procedure exit moisture reach fast setting value, to reduce dried head lobe silk, to reach satisfied tracking control effect and to the adaptive ability of different supplied materials flows and moisture content;
(3), for middle continuous flow procedure, the present invention adopts the RBF-ARX model structure, foundation exists with ... the baking silk dynamic characteristic of the course model of supplied materials flow of tobacco and moisture, take constructed baking silk process RBF-ARX model as forecast model, consider the requirement of different process pattern, different operation modes, the on-line intelligence prediction optimization control algolithm of design outlet moisture in cut tobacco;
(4), the RBF-ARX predictive controller is by moisture value that the discharge end Moisture Meter is detected and the optimal value of setting moisture value and relatively online calculate hot blast air quantity and humidity discharging air quantity; Hot blast air quantity air door is controlled the size that servo cylinder is regulated hot blast air quantity door opening degree automatically take the hot blast air quantity optimal value of RBF-ARX PREDICTIVE CONTROL output as setting value; Humidity discharging air quantity air door is controlled the size that servo cylinder is regulated humidity discharging air quantity door opening degree automatically take the humidity discharging air quantity optimal value of RBF-ARX PREDICTIVE CONTROL output as setting value; The warm steam valve of cylinder compares according to the barrel temperature value of cylindrical shell set temperature value and temperature sensor detection, regulates the size of pneumatic diaphragm control valve open degree from motion tracking, the control steam flow, and finally be stabilized near the cylindrical shell set temperature value; Servo cylinder compares according to the hot blast temperature value of hot blast set temperature value and temperature sensor measurement on the heating system, regulates from motion tracking, and finally is stabilized near the hot blast set temperature value;
(5), for the afterbody production process without entrance supplied materials real-time signal but the characteristics of historical supplied materials amount and moisture signal are arranged, based on the tobacco drying mechanism, make up the setting model of the state-variables such as the temperature exist with ... inlet amount and feed moisture, wind-warm syndrome, humidity discharging air door, drum speed;
(6), according to set each input quantity (humidity discharging air door, the cylinder temperature, wind-warm syndrome and cylindrical shell electric machine frequency) starting point, the curve of output of the limits value of terminal point and the moisture content of outlet of expectation, calculate the optimum setting curve of each input quantity, make performance variable in the dried tail process according to the Optimal Setting curvilinear motion, and according to the model parameter of supplied materials situation self-correcting state-variable setting model, improve it for the adaptive ability of afterbody baking silk process, adopt the self-adjusting fuzzy tracking control algorithm to make afterbody baking silk procedure exit moisture maintain as far as possible setting value, to reduce dried caudal lobe silk, reach satisfied tracking control effect and to the adaptive ability of different supplied materials flows and moisture content;
(7), the Dynamic Characteristic Modeling of doing head, pilot process and dried tail process adopts the RBF-ARX model structure.Each model utilizes historical data, carries out the optimization of model structure and parameter by offline mode;
(8), based on constructed dried head, dried tail dynamic characteristic of the course model, on-line optimization is done the setting value model of each state-variable such as cylinder temperature in head, the dried tail process, humidity discharging air door, to adapt to the variation of supplied materials situation;
(9), realize the computing of baking silk process Intelligence integrated optimization control by the modular insert controller system that uses the built-in PC technology, reach the tobacco-dryer exit moisture control based on model prediction.
Beneficial effect:
The present invention has the following advantages:
1, can realize drying by the fire the automation of a process control, avoid manual intervention in process of production;
2, control accuracy is high and have the very strong ability that overcomes on-the-spot various interference, can make the moisture content of outlet of section end to end be controlled at setting value ± 0.5% with moisture content of outlet interior, interlude be controlled at setting value ± 0.2% with interior and standard deviation≤0.10%, can suppress fast the moisture content of outlet fluctuation that various interference cause; Can reduce to greatest extent the end to end dried pipe tobacco amount of section, can make the dried pipe tobacco amount of head less than 0.7 ‰ (dried pipe tobacco is the pipe tobacco of moisture≤7%) of supplied materials flow, the dried pipe tobacco amount of afterbody 1.4 ‰ (dried pipe tobacco is the pipe tobacco of moisture≤7%) less than the supplied materials flow, can greatly reduce the waste of pipe tobacco and make broken, can be applicable to the pipe tobacco of the different trades mark, can in the built-in PC control system of industrial PLC level, realize, can satisfy the requirement of practical application in industry.
Description of drawings
Fig. 1 is the explanation of cut-tobacco drier process variables sequential relationship.
The specific embodiment
In order to make technological means of the present invention, creation characteristic, workflow, using method reach purpose and effect is easy to understand, below in conjunction with specific embodiment, further set forth the present invention.
1, cut-tobacco drier process variables sequential relationship as shown in Figure 1.Before pipe tobacco arrives from a upper procedure, first in distance cut-tobacco drier cylinder position far away, the pipe tobacco instantaneous delivery value of position probing this moment of u4 namely; After time, come the position probing inlet water score value at this moment of u5 through NK; Pass through the time of nk1, pipe tobacco just enters cylinder again, and the process of moving in cylinder can detect humidity discharging air door, hot blast temperature, barrel temperature and cylindrical shell electric machine frequency etc. at this moment in each sampling instant; Finally by the time that crosses nk2, pipe tobacco goes out cylinder, detects moisture content of outlet.Pipe tobacco detects moisture content of outlet (y) from there being flow detection value (u4) to play, experienced the long time, doing in the time period that so grow early stage, whole system has input variable to be detected, but does not have output quantity (moisture content of outlet) to be detected.And after dried rear pipe tobacco cutout, system can not have inlet flow rate, these two input variables of entrance moisture, but output variable is arranged.Therefore, one has the very system of large dead time exactly, and baking silk process can be divided into three processes: do a process, pilot process and dried tail process.
I) do a process: play from the moment that detects inlet flow rate that moisture content of outlet is basicly stable to be ended when the setting value.
Ii) pilot process: after moisture content of outlet is stable, namely enter pilot process.
Iii) dried tail process: when inlet flow rate becomes 0 by normal value, indicate that dried tail process begins, when moisture content of outlet drops to 3%, indicate that whole baking silk process finishes.
2, tobacco-dryer exit moisture is subject to detecting the impact (but having a very large delay) of entrance moisture and the inlet flow rate of this point, also is subject to cylinder temperature, the wind-warm syndrome of long period in cylinder, the impact of humidity discharging air door.For this reason, adopt the RBF-ARX modeling method, make up and do head, pilot process and the baking silk process dynamic model in dried tail stage.The RBF-ARX model is a kind of nonlinear time-varying model with linear ARX model structure.Its independent variable is the semaphore of one group of characterization system nonlinear state, adopts the RBF neural network structure that model parameter is carried out the real-time online adjustment.Similar with linear ARX model, the RBF-ARX model has superior propinquity effect between the linear zone of part, in addition its parameter can own renewal, self-adjusting.Therefore, it also has the characteristic that the overall situation adapts to.In the present invention, the RBF network of employing Gaussian kernel approaches the function coefficients in the State-Dependent ARX model.
3, as follows for the structure that makes up the Gaussian kernel RBF-ARX model of doing a dynamic characteristic of the course model:
Figure 848882DEST_PATH_IMAGE001
Wherein,
Figure 284543DEST_PATH_IMAGE002
Figure 56189DEST_PATH_IMAGE003
According to the data sample of doing head, there is entrance moisture not have the data length of moisture content of outlet to determine;
Figure 6828DEST_PATH_IMAGE004
According to a dried data sample, there is inlet flow rate not have the data length of entrance moisture to determine; According to the actual conditions of the dried head part of cut-tobacco drier system, the input of RBF, namely IndexElect inlet flow rate and entrance moisture as.
Adopt row dimension Bouguer Nai Kuier special formula method (Levenberg-Marquardt Method, LMM) and linear least square (Least Square Method, LSM) the structuring nonlinear parameter optimization method that combines (Structured Nonlinear Parameter Optimization Method, SNPOM) carries out offline optimization to this model parameter.Model order is determined to decide by the AIC value of modeling.
4, pilot process and dried tail process model building also adopt the Gaussian kernel RBF-ARX model structure that is similar to a dried process model building to realize.
5, based on constructed dried head, the RBF-ARX model of dried tail dynamic process, set up the setting value model that the cut-tobacco drier process is done each state-variable in head and the dried tail process.For a dried process, can set up the optimum input curve of humidity discharging air door, wind-warm syndrome, the gentle inlet flow rate of cylinder; For dried tail process, can set up the optimum input curve of humidity discharging air door, wind-warm syndrome, the gentle cylindrical shell electric machine frequency of cylinder.Adopt sigmoid function to describe the input curve of humidity discharging air door, wind-warm syndrome, the gentle cylindrical shell electric machine frequency of cylinder, adopt step curve to describe the input curve of inlet flow rate.
S type curve equation is as follows:
Figure 827016DEST_PATH_IMAGE005
T:The time of input, unit is s
Figure 179500DEST_PATH_IMAGE006
: the Origin And Destination value of control S type curve;
Figure 59732DEST_PATH_IMAGE007
: the symmetry axis position of control S type curve;
Figure 497666DEST_PATH_IMAGE008
: the speed that control S type curve rises or descends;
The step curve formula is as follows:
Figure 918283DEST_PATH_IMAGE009
T:The time of input, unit is s
Figure 328536DEST_PATH_IMAGE010
: 5 parameters of step curve;
In the RBF-ARX model that these several input quantity substitutions are constructed,
Figure 441985DEST_PATH_IMAGE011
Namely obtain the moisture content of outlet value in the prediction of given curve input quantity situation drag.Seek optimum by row dimensions Bouguer Nai Kuier special formula methods (LMM)
Figure 367216DEST_PATH_IMAGE012
Parameter makes model calculate the moisture content of outlet value of output and the error minimum of moisture content of outlet setting value.That is:
Figure 529207DEST_PATH_IMAGE013
Figure 590704DEST_PATH_IMAGE014
: the moisture content of outlet setting value;
Figure 875055DEST_PATH_IMAGE015
: in parameter
Figure 225265DEST_PATH_IMAGE012
Lower, the moisture content of outlet value that the RBF-ARX model calculates;
The optimization problem of doing the state-variable optimal curve in head or the dried tail process is as follows:
Figure 253264DEST_PATH_IMAGE016
Finally, just can obtain optimal value of the parameter by parameter optimization, thereby design the optimum input curve that cut-tobacco drier is done head or dried tail process.
3, for adopting the moisture content of outlet forecast Control Algorithm based on pilot process RBF-ARX model, first the RBF-ARX model conversion is become polynomial construction model as follows:
Figure 434846DEST_PATH_IMAGE017
Figure 562202DEST_PATH_IMAGE018
The state variable of define system:
Obtain one group of state-space model:
Figure 28136DEST_PATH_IMAGE020
The variable that definition is relevant:
Wherein, Length of field when being prediction,
Figure 322665DEST_PATH_IMAGE024
Length of field when being control.Suppose
Figure 213261DEST_PATH_IMAGE025
, from (8) ~ (13), can obtain:
Figure 10315DEST_PATH_IMAGE026
Figure 556834DEST_PATH_IMAGE027
Figure 741008DEST_PATH_IMAGE029
Figure 646647DEST_PATH_IMAGE030
Figure 742779DEST_PATH_IMAGE031
Thereby obtain the multistep prediction of output:
Figure 454383DEST_PATH_IMAGE032
Definition:
Figure 257254DEST_PATH_IMAGE033
Object function below on-line optimization can obtain PREDICTIVE CONTROL:
Figure 396111DEST_PATH_IMAGE034
Wherein
Figure 979539DEST_PATH_IMAGE035
,
Figure 166938DEST_PATH_IMAGE036
It is weighting coefficient matrix.
Above demonstration and described basic principle of the present invention and principal character and advantage of the present invention.The technical staff of the industry should understand; the present invention is not restricted to the described embodiments; that describes in above-described embodiment and the specification just illustrates principle of the present invention; without departing from the spirit and scope of the present invention; the present invention also has various changes and modifications, and these changes and improvements all fall in the claimed scope of the invention.The claimed scope of the present invention is defined by appending claims and equivalent thereof
Figure 152212DEST_PATH_IMAGE037
Figure 461970DEST_PATH_IMAGE037
Figure 464518DEST_PATH_IMAGE037

Claims (1)

1. tobacco-dryer exit humidity control method based on model prediction, tobacco-dryer exit moisture control system is divided into three processes: do a process, pilot process and dried tail process, make moisture content of outlet enter as early as possible the stable state of setting value ± 0.5%, accelerate the speed that moisture rises, reduce the amount of doing head part " dried pipe tobacco "; In the interstage, keep moisture content of outlet to be stabilized near the setting value; In early stage in dried tail stage, pipe tobacco is stabilized on the setting value, the moisture content of outlet of pipe tobacco is descended prematurely, reduce the amount of doing portion " dried pipe tobacco ", it is characterized in that, step is as follows:
(1), for the characteristic of head production process No way out water content detection signal, based on the tobacco drying mechanism, adopt the thought of nonparametric model modeling, by several input curve samplings are obtained several points, thereby the impact of one section curve is converted into the impact of several sampled points, makes up the setting model based on the RBF-ARX model of the state-variables such as the temperature exist with ... inlet amount and feed moisture, wind-warm syndrome, humidity discharging air door, inlet flow rate;
(2), starting point according to each set input quantity, the curve of output of the limits value of terminal point and the moisture content of outlet of expectation, calculate the optimum setting curve of each input quantity, make performance variable in the process of doing according to the Optimal Setting curvilinear motion, model parameter according to supplied materials situation self-correcting state-variable setting model, improve it for the adaptive ability of head baking silk process, design self-adjusting fuzzy tracking control algorithm makes head baking silk procedure exit moisture reach fast setting value, to reduce dried head lobe silk, reach satisfied tracking control effect and to the adaptive ability of different supplied materials flows and moisture content;
(3), for middle continuous flow procedure, the present invention adopts the RBF-ARX model structure, foundation exists with ... the baking silk dynamic characteristic of the course model of supplied materials flow of tobacco and moisture, take constructed baking silk process RBF-ARX model as forecast model, consider the requirement of different process pattern, different operation modes, the on-line intelligence prediction optimization control algolithm of design outlet moisture in cut tobacco;
(4), the RBF-ARX predictive controller is by moisture value that the discharge end Moisture Meter is detected and the optimal value of setting moisture value and relatively online calculate hot blast air quantity and humidity discharging air quantity; Hot blast air quantity air door is controlled the size that servo cylinder is regulated hot blast air quantity door opening degree automatically take the hot blast air quantity optimal value of RBF-ARX PREDICTIVE CONTROL output as setting value; Humidity discharging air quantity air door is controlled the size that servo cylinder is regulated humidity discharging air quantity door opening degree automatically take the humidity discharging air quantity optimal value of RBF-ARX PREDICTIVE CONTROL output as setting value; The warm steam valve of cylinder compares according to the barrel temperature value of cylindrical shell set temperature value and temperature sensor detection, regulates the size of pneumatic diaphragm control valve open degree from motion tracking, the control steam flow, and finally be stabilized near the cylindrical shell set temperature value; Servo cylinder compares according to the hot blast temperature value of hot blast set temperature value and temperature sensor measurement on the heating system, regulates from motion tracking, and finally is stabilized near the hot blast set temperature value;
(5), for the afterbody production process without entrance supplied materials real-time signal but the characteristics of historical supplied materials amount and moisture signal are arranged, based on the tobacco drying mechanism, make up the setting model of the state-variables such as the temperature exist with ... inlet amount and feed moisture, wind-warm syndrome, humidity discharging air door, drum speed;
(6), according to set each input quantity (humidity discharging air door, the cylinder temperature, wind-warm syndrome and cylindrical shell electric machine frequency) starting point, the curve of output of the limits value of terminal point and the moisture content of outlet of expectation, calculate the optimum setting curve of each input quantity, make performance variable in the dried tail process according to the Optimal Setting curvilinear motion, and according to the model parameter of supplied materials situation self-correcting state-variable setting model, improve it for the adaptive ability of afterbody baking silk process, adopt the self-adjusting fuzzy tracking control algorithm to make afterbody baking silk procedure exit moisture maintain as far as possible setting value, to reduce dried caudal lobe silk, reach satisfied tracking control effect and to the adaptive ability of different supplied materials flows and moisture content;
(7), the Dynamic Characteristic Modeling of doing head, pilot process and dried tail process adopts the RBF-ARX model structure, each model utilizes historical data, carries out the optimization of model structure and parameter by offline mode;
(8), based on constructed dried head, dried tail dynamic characteristic of the course model, on-line optimization is done the setting value model of each state-variable such as cylinder temperature in head, the dried tail process, humidity discharging air door, to adapt to the variation of supplied materials situation;
(9), realize the computing of baking silk process Intelligence integrated optimization control by the modular insert controller system that uses the built-in PC technology, reach the tobacco-dryer exit moisture control based on model prediction.
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