CN106886150B - A kind of whole grinding autocontrol method of open circuit cement joint half and system based on C# - Google Patents
A kind of whole grinding autocontrol method of open circuit cement joint half and system based on C# Download PDFInfo
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- 238000000227 grinding Methods 0.000 title claims abstract description 83
- 239000004568 cement Substances 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000002245 particle Substances 0.000 claims abstract description 39
- 238000004891 communication Methods 0.000 claims abstract description 7
- 230000003993 interaction Effects 0.000 claims abstract description 7
- 239000000843 powder Substances 0.000 claims description 81
- 230000008569 process Effects 0.000 claims description 17
- 238000012937 correction Methods 0.000 claims description 12
- 238000004519 manufacturing process Methods 0.000 claims description 12
- 239000011159 matrix material Substances 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 9
- 238000005457 optimization Methods 0.000 claims description 6
- 238000005096 rolling process Methods 0.000 claims description 6
- 230000001629 suppression Effects 0.000 claims description 6
- 238000013459 approach Methods 0.000 claims description 5
- 239000000203 mixture Substances 0.000 claims description 4
- 230000005764 inhibitory process Effects 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 230000003287 optical effect Effects 0.000 claims description 3
- 238000004088 simulation Methods 0.000 description 14
- 239000000463 material Substances 0.000 description 10
- 230000001276 controlling effect Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 239000000428 dust Substances 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000003801 milling Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000003139 buffering effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 239000010881 fly ash Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000000087 stabilizing effect Effects 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
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Abstract
The invention discloses a kind of, and the open circuit cement based on C# combines half whole grinding autocontrol method, specifically includes: 1) data interaction, using C#, by OPC communication completion to DCS system, online Particle Size Analyzer；2), the grain size parameter Real-time Feedback that online Particle Size Analyzer will test gives engineering station, judges for it the operating condition of grinding system；3), engineering station carries out real-time control to grinding system.The invention also includes the control systems using a kind of whole grinding autocontrol method of open circuit cement joint half based on C#.
Description
Technical Field
The invention relates to the technical field of automatic control, in particular to a C # based automatic control method and system for open-circuit cement combined semi-final grinding.
Background
Most of the control of the domestic closed-circuit cement combined grinding system is completed by manual operation of operators. The open-circuit cement combined semi-final grinding system has the characteristics of pure lag, large inertia, multivariable, strong coupling, model time-varying and the like, and increases the difficulty of manual control of the mill. In addition, in the working process of the closed-circuit cement combined grinding system, phenomena of blockage of grinding, full grinding, empty grinding, overload of the ultrafine fly ash and a mill discharging hoister and the like occur occasionally, so that normal production is influenced, the cement production efficiency is reduced, the service life of part of equipment is shortened, and the consumption of electric energy is increased.
Disclosure of Invention
The invention aims to provide a C # based automatic control method and system for open-circuit cement combined semi-finish grinding, which are used for solving the problems of low production efficiency and short service life of equipment of the existing cement.
The technical scheme adopted by the invention for solving the technical problems is as follows: an open-circuit cement combined semi-final grinding automatic control method based on C # is characterized by specifically comprising the following steps:
1) finishing data interaction of a DCS (distributed control system) and an online granularity analyzer by utilizing C #, and through OPC (optical proximity correction) communication;
2) the online granularity analyzer feeds the detected granularity parameters back to the engineering station in real time for judging the working condition of the grinding system;
3) and the engineering station controls the grinding system in real time.
Further, the real-time control of the grinding system by the engineering station comprises the control of the amount of the returned powder, the control of the content of <3um granularity and the control of the content of 3-32um granularity;
the control process of the powder return amount comprises the following steps:
11) inputting expected value of grinding amount;
12) when the | e | is larger than the epsilon, the opening of the cold air valve is controlled by Bang-Bang; when | e | < epsilon, controlling the opening of the cold air valve by using DMC to ensure that the powder return amount of the system is in a normal range;
13) the grinding metering scale collects the powder returning amount of the system in real time and feeds the powder returning amount back to the input to realize feedback control;
the control process of the <3um particle size content comprises:
21) inputting a desired value of the granularity content of <3 um;
22) when the absolute value e is larger than the epsilon, the rotating speed of the tail grinding fan is controlled by Bang-Bang; when | e | is less than epsilon, adopting DMC to control the rotation speed of the tail grinding fan;
23) the online granularity analyzer acquires the granularity content of <3um on line and feeds the granularity content back to the input to realize feedback control;
the control process of the 3-32um particle size content comprises the following steps:
31) inputting the expected value of the granularity content of 3-32 um;
32) when the | e | is more than epsilon, adopting Bang-Bang to control the rotating speed of the powder concentrator; when | e | is less than epsilon, adopting DMC to control the rotating speed of the powder concentrator;
33) and the online granularity analyzer acquires the granularity content of 3-32um on line and feeds the granularity content back to the input to realize feedback control.
Further, the DMC control specifically includes:
1) a prediction model;
2) optimizing rolling;
3) and feedback correction.
Further, the specific process of 1) is as follows: model identification is carried out on the controlled object by utilizing least square, and a dynamic coefficient a is used from the step response of the controlled object1,a2,…,apDescribing the model, and according to the proportion and superposition properties of a linear system, assuming constant input at the time k, the initial prediction state at the future N times isIf M increments Δ u (k) exist at the time k, … Δ u (k + M-1) acts on the controlled object, the output value of the system at each future time is as follows:
in the formula,for the output value at a future time, p is the time domain length of the model, apA coefficient sufficiently close to the steady state valuei-j+1Is the i-j +1 th dynamic coefficient, the delta u (k + j-1) is the k + j-1 th increment,represents the control output increment of i from j-1 to M;
2) the specific process comprises the following steps: output prediction value for predicting P moments in futureTo approach the expected value w (k + i), i ═ 1, … P, and to prevent the increment Δ u (k) from fluctuating too much, the optimization performance index function at time k is set as:
in the formula, qi、rjThe weight coefficients respectively represent the tracking error of the control system and the degree of suppression of the system control quantity;the inhibition of the performance index function J on the output increment is represented;representing the suppression of the control input by the performance indicator function J;
assuming the input and output quantities are in matrix form, the system outputsAnd increment Δ uMCan be expressed as:
wherein,
a is a dynamic matrix and is composed of the coefficient a of the step response of the systemiA matrix of compositions;is the output of the system, and is,for system input,. DELTA.uM(k) Is an increment;
3) the specific process comprises the following steps: in order to reduce the interference of various factors on the control in the production process, the feedback correction is carried out on the system, the output error of the model open loop is reduced, and the introduced output error is as follows:
may adopt the pair qiThe weighting mode is modified:
wherein,correcting the output prediction quantity at the moment k + 1; e (k +1) represents the difference between the predicted output at the time k +1 and the actual output at the time k + 1;a prediction output representing time k; h represents the trial and error coefficient and takes the value of [0, 1%]。
Further, Bang-Bang control is specifically achieved by:
e(k)＝Vr-Ve(ii) a (formula 9)
In the formula, VrFor actual measurement, VeTo a desired value, uBBThe incremental output of the Bang-Bang controller; epsilon is a deviation threshold; u. ofbbTo adjust the step size, e (k) represents the system output error.
An open-circuit cement combined semi-final grinding automatic control system based on C # utilizes an open-circuit cement combined semi-final grinding automatic control method based on C #, and is characterized by comprising a DCS system, an online granularity analyzer and an engineering station; data interaction of a DCS and an online granularity analyzer is completed through OPC communication; the online granularity analyzer feeds the detected granularity parameters back to the engineering station in real time for judging the working condition of the grinding system; and the engineering station controls the grinding system in real time.
Further, the grinding system comprises a return powder amount loop control system, a <3um particle size content loop control system and a 3-32um particle size content loop control system;
the powder return amount loop control system comprises: when the deviation of the powder return quantity collected from the open-circuit cement combined semi-final grinding system and the expected value does not exceed the threshold value of 110 +/-5 t/h, fine adjustment is carried out on the opening of the cold air valve by DMC control; when the deviation of the powder return quantity collected from the open-circuit cement combined semi-final grinding system and the expected value exceeds a threshold value, Bang-Bang is adopted to control and adjust the opening of the cold air valve, so that the powder return quantity quickly returns to a normal range;
the <3um particle size content loop control system comprises: when the detected value of the content of the granularity of <3um of the online granularity analyzer does not exceed the control target value by 11.5 +/-0.5 percent, fine adjustment is carried out on the rotating speed of the powder concentrator by DMC control; when the particle size content detection value exceeds the control target value by 11.5 +/-0.5%, the opening of the cold air valve is controlled and adjusted by Bang-Bang to ensure that the powder return amount quickly returns to the normal range;
the 3-32um granularity content loop control system comprises: when the granularity content detection value of 3-32um of the online granularity analyzer does not exceed the control target value by 57.5 +/-1.0 percent, fine adjustment is carried out on the rotating speed of the powder concentrator by adopting DMC control; when the particle size content detection value exceeds the control target value of 57.5 +/-1.0%, the opening of the cold air valve is controlled and adjusted by Bang-Bang, so that the powder return amount quickly returns to the normal range.
The invention has the beneficial effects that:
1. the system adopts a method of combining Dynamic Matrix Control (DMC) and Bang-Bang control, integrates the operation thought of excellent operators and a problem solving means into the system, and can effectively replace the operators to control the grinding system.
2. The invention decouples three control loops, the three loops are mutually independent and act on the grinding system in a cooperative manner, and respective performance indexes can be effectively controlled.
3. The problem of low cement production efficiency caused by manual control of the existing open-circuit cement combined semi-final grinding system is solved, the service life of equipment is prolonged, and the quality of cement finished products is improved.
Drawings
FIG. 1 is a process diagram of open-circuit cement combined semi-final grinding of the present invention;
FIG. 2 is a diagram of a control system of the present invention;
fig. 3 is a schematic diagram of an automatic control structure of the open-circuit combined semi-final grinding system of the invention;
FIG. 4 is the input and output data of the powder return loop model according to the present invention;
FIG. 5 is a graph of the identification result of the powder return circuit model according to the present invention;
FIG. 6 shows the DMC control simulation result of the powder return amount loop of the present invention;
FIG. 7 is a diagram illustrating the effect of the powder return control according to the present invention;
FIG. 8 is a graph of the <3um particle size content loop model input and output data of the present invention;
FIG. 9 shows the <3um particle size content loop model identification results of the present invention;
FIG. 10 is a graph of <3um particle size content loop DMC simulation results of the present invention;
FIG. 11 is a DMC simulation result graph of <3um particle size content in 320 seconds of powder return amount according to the present invention;
FIG. 12 shows the input and output data of the 3-32um grain size loop of the present invention
FIG. 13 shows the identification result of the loop model of 3-32um grain size content according to the present invention;
FIG. 14 shows DMC simulation results of 3-32um grain size content loop of the present invention;
FIG. 15 shows the DMC simulation results of 3-32um grain size content loop within 700 seconds of the powder return amount of the present invention;
in the figure: 1. the device comprises a steady flow bin, 2 parts of a roller press, 3 parts of a lifter, 4 parts of a V-shaped powder concentrator, 5 parts of the powder concentrator, 6 parts of a cold air valve, 7 parts of a powder return metering scale, 8 parts of a ball mill, 9 parts of a main exhaust fan, 10 parts of a tail grinding fan, 11 parts of a mill outlet lifter, 12 parts of a chute, 13 parts of a dust collector and 14 parts of an online particle size analyzer.
Detailed Description
At present, the cement manufacturing process is, as shown in fig. 1, firstly, buffering materials according to a certain proportion through a steady flow bin 1, then flowing the materials into a roller press 2, grading and scattering the rolled materials through a V-type powder selector 4, sending unqualified materials to the roller press 2 again through a lifter 3, and feeding the qualified materials into a powder selector 5. The ultrafine powder is fed into a dust collector 13 by a main exhaust fan 9 under the action of a cold air valve 6; the coarse material enters a ball mill 8 through a powder returning scale 7 under the action of a powder concentrator 5. After the material is ground in the ball mill 8, fine powder is acted into a dust collector 13 by a tail grinding fan 10; the coarse powder is mixed with the fine powder by a grinding elevator 11, a chute 12 and other equipment, and the mixture is subjected to online granularity 14 analysis and then is stored in a warehouse to form a cement finished product.
As shown in fig. 2, in order to solve the problem of low cement production efficiency caused by manual control of the existing open-circuit cement combined semi-final grinding system, prolong the service life of equipment and improve the quality of cement finished products, the invention provides a C # based open-circuit cement combined semi-final grinding automatic control method, which specifically comprises the following steps:
1) finishing data interaction of a DCS (distributed control system) and an online granularity analyzer by utilizing C #, and through OPC (optical proximity correction) communication;
2) the online granularity analyzer feeds the detected granularity parameters back to the engineering station in real time for judging the working condition of the grinding system;
3) and the engineering station controls the grinding system in real time.
As shown in fig. 3, 3 control loops are decoupled, and the engineering station controls the grinding system in real time, including the control of the amount of the returned powder, the control of the content of <3um particle size, and the control of the content of 3-32um particle size;
the control process of the powder return amount comprises the following steps:
11) inputting expected value of grinding amount;
12) when the | e | is larger than epsilon, the opening of the cold air valve is controlled by Bang-Bang; when | e | is less than epsilon, controlling the opening of the cold air valve by using DMC to ensure that the powder return amount of the system is in a normal range;
13) the grinding metering scale collects the powder returning amount of the system in real time and feeds the powder returning amount back to the input to realize feedback control;
the control process of the <3um particle size content comprises the following steps:
21) inputting a desired value of the granularity content of <3 um;
22) when the | e | is more than epsilon, adopting Bang-Bang to control the rotating speed of the tail grinding fan; when | e | is less than epsilon, adopting DMC to control the rotation speed of the tail grinding fan;
23) the online granularity analyzer acquires the granularity content of <3um on line and feeds the granularity content back to the input to realize feedback control;
the control process of the particle size content of 3-32um comprises the following steps:
31) inputting the expected value of the granularity content of 3-32 um;
32) when the | e | is more than epsilon, adopting Bang-Bang to control the rotating speed of the powder concentrator; when | e | is less than epsilon, adopting DMC to control the rotating speed of the powder concentrator;
33) and the online granularity analyzer acquires the granularity content of 3-32um on line and feeds the granularity content back to the input to realize feedback control.
The DMC control is realized by the following specific steps:
1) and a prediction model. Model identification is carried out on the controlled object by utilizing least square, and a dynamic coefficient a is used from the step response of the controlled object1,a2,…,apDescribing the model, and according to the proportion and superposition properties of a linear system, assuming constant input at the time k, the initial prediction state at the future N times isIf M increments Δ u (k) exist at the time k, … Δ u (k + M-1) acts on the controlled object, the output value of the system at each future time is as follows:
in the formula,for the output value at a future time, p is the time domain length of the model, apA coefficient sufficiently close to the steady state valuei-j+1Is the i-j +1 th dynamic coefficient, the delta u (k + j-1) is the k + j-1 th increment,representing the control output increment for i from j-1 to M.
2) And optimizing rolling. Output prediction value for predicting P moments in futureTo approach the expected value w (k + i), i ═ 1, … P, and to prevent the increment Δ u (k) from fluctuating too much, the optimization performance index function at time k is set as:
in the formula, qi、rjThe weight coefficients respectively represent the tracking error of the control system and the degree of suppression of the system control quantity;the inhibition of the performance index function J on the output increment is represented;representing the suppression of the control input by the performance indicator function J;
assuming the input and output quantities are in matrix form, the system outputsAnd increment Δ uMCan be expressed as:
wherein,
a is a dynamic matrix and is composed of the coefficient a of the step response of the systemiA matrix of compositions;is the output of the system, and is,for system input,. DELTA.uM(k) In increments.
3) And feedback correction. In order to reduce the interference of various factors on the control in the production process, the feedback correction is carried out on the system, the output error of the model open loop is reduced, and the introduced output error is as follows:
may adopt the pair qiThe weighting mode is modified:
wherein,correcting the output prediction quantity at the moment k + 1; e (k +1) represents the difference between the predicted output at the time k +1 and the actual output at the time k + 1;a prediction output representing time k; h represents the trial and error coefficient and takes the value of [0, 1%]。
Bang-Bang control is specifically achieved by:
e(k)＝Vr-Ve(ii) a (formula 9)
In the formula, VrFor actual measurement, VeTo a desired value, uBBThe incremental output of the Bang-Bang controller; epsilon is a deviation threshold; u. ofbbTo adjust the step size, e (k) represents the system output error.
An open-circuit cement combined semi-final grinding automatic control system based on C #, which comprises a DCS system, an online granularity analyzer and an engineering station; data interaction of a DCS and an online granularity analyzer is completed through OPC communication; the online granularity analyzer feeds the detected granularity parameters back to the engineering station in real time for judging the working condition of the grinding system; and the engineering station controls the grinding system in real time.
The grinding system comprises a return powder quantity loop control system, a <3um granularity content loop control system and a 3-32um granularity content loop control system;
the powder return amount loop control system comprises: when the deviation of the powder return quantity collected from the open-circuit cement combined semi-final grinding system and the expected value does not exceed the threshold value of 110 +/-5 t/h, fine adjustment is carried out on the opening of the cold air valve by DMC control; when the deviation of the powder return quantity collected from the open-circuit cement combined semi-final grinding system and the expected value exceeds a threshold value, Bang-Bang is adopted to control and adjust the opening of the cold air valve, so that the powder return quantity quickly returns to a normal range;
the <3um particle size content loop control system comprises: when the detected value of the content of the granularity of <3um of the online granularity analyzer does not exceed the control target value by 11.5 +/-0.5 percent, fine adjustment is carried out on the rotating speed of the powder concentrator by DMC control; when the particle size content detection value exceeds the control target value by 11.5 +/-0.5%, the opening of the cold air valve is controlled and adjusted by Bang-Bang to ensure that the powder return amount quickly returns to the normal range;
the 3-32um particle size content loop control system comprises: when the granularity content detection value of 3-32um of the online granularity analyzer does not exceed the control target value by 57.5 +/-1.0 percent, fine adjustment is carried out on the rotating speed of the powder concentrator by adopting DMC control; when the particle size content detection value exceeds the control target value of 57.5 +/-1.0%, the opening of the cold air valve is controlled and adjusted by Bang-Bang, so that the powder return amount quickly returns to the normal range.
A powder return quantity loop:
when the materials in the mill are more, the impact between the milling body and the cylinder is smaller, so that the current of the mill is lower, the opening degree of the cold air valve can be increased to reduce the powder return amount of the materials, and the milling pressure is reduced; on the contrary, the opening of the cold air valve is reduced to increase the material powder return amount and increase the grinding pressure, thereby achieving the effect of stabilizing the load of the grinding machine. Therefore, when other factors are stable, the current of the mill can be stabilized by adjusting the cold air valve to control the powder return amount. The table 2.1 is a Bang-Bang control rule table, and when the deviation of the returned powder quantity collected from the open-circuit cement combined semi-final grinding system and the expected value does not exceed the threshold value of 105 +/-5 t/h, the opening degree of the cold air valve is finely adjusted by using a DMC algorithm; and when the deviation of the powder return amount and the expected value exceeds a threshold value, the Bang-Bang is adopted to control and adjust the opening of the cold air valve so that the powder return amount approaches the target value quickly.
TABLE 2.1 control law table of powder-returning quantity loop Bang-Bang
(Note: in the table, "-" indicates an arbitrary value)
As shown in fig. 4, the opening of the cold air valve is selected as the input amount, the powder return amount is selected as the output amount, the model identification is performed by using the least square, and the identification result is shown in fig. 5. The unit step response of the model is obtained by Matlab simulation, then rolling optimization and simulation correction are carried out, and the simulation result is shown in FIG. 6.
Controlling effect and analyzing: setting a powder return amount control target of 110 +/-5 t/h, wherein the powder return amount is stabilized at 109t/h within 250 seconds through regulation of a DMC controller as shown in FIG. 7, the powder return amount is increased within 50 to 100 seconds, and the powder return amount is adjusted to be reduced within the following 100 to 150 seconds through a cold air valve, is lower than 109t/h, and is slowly increased within 150 to 250 seconds. Although there is some deviation between the production environment on site and the error of the sensor, 109t/h and the set target 110t/h, the deviation is acceptable, and the controller reaches the expected target.
<3um particle size content circuit:
the cement granularity is closely related to the cement quality, and the main factor influencing the granularity content of less than 3um is the rotating speed of a tail grinding fan. Therefore, the rotating speed of the tail grinding fan is adjusted by a method combining DMC control and Bang-Bang control to realize the stability of the granularity content of <3um, and when the deviation of the target value and the expected value does not exceed the threshold value of 11.5 +/-0.5%, the tail grinding fan is finely adjusted by using DMC algorithm; and when the deviation exceeds the threshold value, the Bang-Bang control is adopted to adjust the rotating speed of the tail grinding fan to enable the tail grinding fan to quickly approach the target value. The table of the control rule of the Bang-Bang of the <3um particle size content is shown in the following table 2.2.
TABLE 2.2<3um particle size content Loop Bang-Bang control law table
(Note: in the table, "-" indicates an arbitrary value)
As shown in fig. 8, the rotation speed of the tail grinding fan is selected as the input quantity, the particle size content of <3um is selected as the output quantity, the model identification is performed by using the least square, and the identification result is shown in fig. 9. The unit step response of the model is obtained by Matlab simulation, then rolling optimization and simulation correction are carried out, and the simulation result is shown in FIG. 10.
Controlling effect and analyzing: the <3um particle size content control target is set to be 11.5%, as shown in fig. 11, the powder return amount is adjusted by the DMC controller within 320 seconds, the <3um particle size content is stabilized at 11.3%, which is a cause of field production environment and sensor error, and the deviation between 11.3% and the set target 11.5% is acceptable although a certain deviation exists. The controller is designed to achieve the desired objectives.
3-32um particle size content loop:
the main factor influencing the granularity content of 3-32um is the rotating speed of the powder concentrator. Therefore, the particle size content of 3-32um is stabilized by adjusting the rotating speed of the tail grinding fan. The table of the control rule of the particle size content of 3-32um is shown in the following table 2.3.
TABLE 2.33-32um granularity content loop expert control rule table
(Note: in the table, "-" indicates an arbitrary value)
As shown in fig. 12, the rotation speed of the powder concentrator is selected as the input of the model, the particle size content of 3-32um is selected as the output, the model identification is performed by using least square, the identification result is shown in fig. 13, the unit step response of the model is obtained by using Matlab simulation, then rolling optimization and simulation correction are performed, and the simulation result is shown in fig. 14.
Controlling effect and analyzing: the control target of the particle size content of 3-32um is set to be 56%, as shown in fig. 15, the powder returning amount is regulated by the DMC controller within 700 seconds, the particle size content of <3um is stabilized at 55.5%, which is a cause of field production environment and sensor error, and the deviation between 56% and the set target of 55.5% is acceptable although a certain deviation exists. The controller is designed to achieve the desired objectives.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, the scope of the present invention is not limited thereto, and various modifications and variations which do not require inventive efforts and which are made by those skilled in the art are within the scope of the present invention.
Claims (6)
1. An open-circuit cement combined semi-final grinding automatic control method based on C # is characterized by specifically comprising the following steps:
1) finishing data interaction of a DCS (distributed control system) and an online granularity analyzer by utilizing C #, and through OPC (optical proximity correction) communication;
2) the online granularity analyzer feeds the detected granularity parameters back to the engineering station in real time for judging the working condition of the grinding system;
3) the engineering station controls the grinding system in real time;
the engineering station controls the grinding system in real time, including controlling the amount of returned powder, controlling the content of <3um granularity and controlling the content of 3-32um granularity;
the control process of the powder return amount comprises the following steps:
11) inputting expected value of grinding amount;
12) when the | e | is larger than the epsilon, the opening of the cold air valve is controlled by Bang-Bang; when | e | < epsilon, controlling the opening of the cold air valve by using DMC to ensure that the powder return amount of the system is in a normal range;
13) the grinding metering scale collects the powder returning amount of the system in real time and feeds the powder returning amount back to the input to realize feedback control;
the control process of the <3um particle size content comprises:
21) inputting a desired value of the granularity content of <3 um;
22) when the absolute value e is larger than the epsilon, the rotating speed of the tail grinding fan is controlled by Bang-Bang; when | e | < epsilon, controlling the rotation speed of the tail grinding fan by using DMC;
23) the online granularity analyzer acquires the granularity content of <3um on line and feeds the granularity content back to the input to realize feedback control;
the control process of the 3-32um particle size content comprises the following steps:
31) inputting the expected value of the granularity content of 3-32 um;
32) when the | e | is larger than the epsilon, the rotating speed of the powder concentrator is controlled by Bang-Bang; when | e | < epsilon, controlling the rotating speed of the powder concentrator by using DMC;
33) and the online granularity analyzer acquires the granularity content of 3-32um on line and feeds the granularity content back to the input to realize feedback control.
2. The C # based open-circuit cement combined semi-finish grinding automatic control method as claimed in claim 1, wherein the implementation of DMC control specifically comprises:
a) a prediction model;
b) optimizing rolling;
c) and feedback correction.
3. The automatic control method of open-circuit cement combined semi-finish grinding based on C # as claimed in claim 2, wherein,
a) the specific process comprises the following steps: model identification is carried out on the controlled object by utilizing least square, and a dynamic coefficient a is used from the step response of the controlled object1,a2,…,apDescribing the model, and according to the proportion and superposition properties of a linear system, assuming constant input at the time k, the initial prediction state at the future N times isIf M increments Δ u (k) exist at the time k, … Δ u (k + M-1) acts on the controlled object, the output value of the system at each future time is as follows:
in the formula,for the output value at a future time, p is the time domain length of the model, apA coefficient sufficiently close to the steady state valuei-j+1Is the i-j +1 th dynamic coefficient, the delta u (k + j-1) is the k + j-1 th increment,represents the control output increment of i from j-1 to M;
b) the specific process comprises the following steps: output prediction value for predicting P moments in futureTo approach the expected value w (k + i), i ═ 1, … P, and to prevent the increment Δ u (k) from fluctuating too much, the optimization performance index function at time k is set as:
in the formula, qi、rjThe weight coefficients respectively represent the tracking error of the control system and the degree of suppression of the system control quantity;the inhibition of the performance index function J on the output increment is represented;representing the suppression of the control input by the performance indicator function J;
assuming the input and output quantities are in matrix form, the system outputsAnd increment Δ uMCan be expressed as:
wherein,
a is a dynamic matrix and is composed of the coefficient a of the step response of the systemiA matrix of compositions;is the output of the system, and is,for system input,. DELTA.uM(k) Is an increment;
c) the specific process comprises the following steps: in order to reduce the interference of various factors on the control in the production process, the feedback correction is carried out on the system, the output error of the model open loop is reduced, and the introduced output error is as follows:
may adopt the pair qiThe weighting mode is modified:
wherein,correcting the output prediction quantity at the moment k + 1; e (k +1) represents the difference between the predicted output at the time k +1 and the actual output at the time k + 1;a prediction output representing time k; h represents the trial and error coefficient and takes the value of [0, 1%]。
4. The automatic control method for open-circuit cement combined semi-finish grinding based on the C # as claimed in claim 1, wherein Bang-Bang control specifically comprises the following steps:
e(k)＝Vr-Ve(ii) a (formula 9)
In the formula, VrFor actual measurement, VeTo a desired value, uBBThe incremental output of the Bang-Bang controller; epsilon is a deviation threshold; u. ofbbTo adjust the step size, e (k) represents the system output error.
5. An open circuit cement combined semi-final grinding automatic control system based on C #, which utilizes the open circuit cement combined semi-final grinding automatic control method based on C # of any one of claims 1-4, and is characterized by comprising a DCS system, an online granularity analyzer and an engineering station; data interaction of a DCS and an online granularity analyzer is completed through OPC communication; the online granularity analyzer feeds the detected granularity parameters back to the engineering station in real time for judging the working condition of the grinding system; and the engineering station controls the grinding system in real time.
6. An open-circuit cement combined semi-final grinding automatic control system based on C # is characterized in that a grinding system comprises a return powder quantity loop control system, a <3um granularity content loop control system and a 3-32um granularity content loop control system;
the powder return amount loop control system comprises: when the deviation of the powder return quantity collected from the open-circuit cement combined semi-final grinding system and the expected value does not exceed the threshold value of 110 +/-5 t/h, fine adjustment is carried out on the opening of the cold air valve by DMC control; when the deviation of the powder return quantity collected from the open-circuit cement combined semi-final grinding system and the expected value exceeds a threshold value, Bang-Bang is adopted to control and adjust the opening of the cold air valve, so that the powder return quantity quickly returns to a normal range;
the <3um particle size content loop control system comprises: when the detected value of the content of the granularity of <3um of the online granularity analyzer does not exceed the control target value by 11.5 +/-0.5 percent, fine adjustment is carried out on the tail grinding fan by DMC control; when the particle size content detection value exceeds the control target value by 11.5 +/-0.5%, the rotating speed of a tail grinding fan is controlled and adjusted by Bang-Bang to ensure that the powder return amount quickly returns to the normal range;
the 3-32um granularity content loop control system comprises: when the granularity content detection value of 3-32um of the online granularity analyzer does not exceed the control target value by 57.5 +/-1.0 percent, fine adjustment is carried out on the rotating speed of the powder concentrator by adopting DMC control; when the particle size content detection value exceeds the control target value of 57.5 +/-1.0%, the Bang-Bang is adopted to control and adjust the rotating speed of the powder concentrator, so that the powder return amount quickly returns to the normal range.
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| CN111552255A (en) * | 2020-05-22 | 2020-08-18 | 绵阳钢猫科技有限公司 | Cement production quality on-line measuring system |
| CN116328916B (en) * | 2023-03-29 | 2023-12-05 | 中才邦业(杭州)智能技术有限公司 | Open-circuit cement mill control method and system based on online particle size monitor |
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Effective date of registration: 20200824 Address after: 277716 west side of Mengtai highway, CheWang Town, Lanling County, Linyi City, Shandong Province Patentee after: LINYI ZHONGLIAN CEMENT Co.,Ltd. Address before: The central nanxinzhuang Ji'nan Road, No. 336 of 250022 cities in Shandong Province Co-patentee before: SHANDONG HENGTUO SCIENTIFIC TECHNOLOGY DEVELOPMENT Co.,Ltd. Patentee before: University of Jinan |