CN113110030A - CO (carbon monoxide)2Trapped DMC-PID cascading system and control method thereof - Google Patents
CO (carbon monoxide)2Trapped DMC-PID cascading system and control method thereof Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 90
- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 title claims abstract description 48
- 229910002091 carbon monoxide Inorganic materials 0.000 title claims description 3
- 239000003546 flue gas Substances 0.000 claims abstract description 45
- 230000008569 process Effects 0.000 claims description 29
- 239000011159 matrix material Substances 0.000 claims description 27
- 230000004044 response Effects 0.000 claims description 15
- 238000002485 combustion reaction Methods 0.000 claims description 13
- 238000010521 absorption reaction Methods 0.000 claims description 12
- 238000004088 simulation Methods 0.000 claims description 11
- 241000183024 Populus tremula Species 0.000 claims description 10
- 238000004422 calculation algorithm Methods 0.000 claims description 10
- 239000003245 coal Substances 0.000 claims description 9
- 238000012360 testing method Methods 0.000 claims description 9
- 239000000779 smoke Substances 0.000 claims description 7
- 238000000354 decomposition reaction Methods 0.000 claims description 6
- 238000005457 optimization Methods 0.000 claims description 6
- 238000005096 rolling process Methods 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 5
- 230000008859 change Effects 0.000 claims description 4
- 239000007788 liquid Substances 0.000 claims description 4
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- 238000012546 transfer Methods 0.000 claims description 3
- 238000011217 control strategy Methods 0.000 abstract description 3
- 229910002092 carbon dioxide Inorganic materials 0.000 description 55
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 description 15
- 239000001569 carbon dioxide Substances 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 239000007789 gas Substances 0.000 description 3
- HZAXFHJVJLSVMW-UHFFFAOYSA-N 2-Aminoethan-1-ol Chemical compound NCCO HZAXFHJVJLSVMW-UHFFFAOYSA-N 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000003795 desorption Methods 0.000 description 2
- 230000035484 reaction time Effects 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000001629 suppression Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000001311 chemical methods and process Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
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- 239000002803 fossil fuel Substances 0.000 description 1
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Abstract
The invention discloses a CO2Trapped DMC-PID cascading systems and methods for controlling the same. The DMC-PID cascade control strategy provided by the invention selects a set value CO2The content is the input value of the DMC controller, the output value of the DMC controller is the input value of the PID controller, the PID controller eliminates disturbance variable flue gas flow, and the single-loop PID controller forms an inner loop module; the DMC controller controls the system as a whole. The system not only keeps the excellent performance of the two controllers, but also has the structural characteristics of a cascade system, and completes the control of large delay and strong interference of a controlled object, thereby further improving CO2The capture system has adaptability and flexibility to variable load operation of the thermal power station.
Description
Technical Field
The invention relates to the technical field of control of coal chemical processes, in particular to a post-combustion CO based on MEA (membrane electrode assembly)2DMC-PID cascade predictive control method for trapping process, in particular to CO2Trapped DMC-PID cascading systems and methods for controlling the same.
Background
With carbon dioxide (CO)2) Extreme climate change and sea level rise due to dominant greenhouse gas emissions have become the most serious problems facing mankind in this century. Combustion of fossil fuels, especially coal, as the main source of electricity supply to CO2The largest fixed source of emissions, and this trend has not changed in recent years. The Carbon Capture and Sequestration (CCS) technology is recognized by various authorities at home and abroad to realize large-scale CO2The most direct and effective means for emission reduction is to transport and store the captured carbon dioxide in a supercritical state for a long time in deep-sea geological wells or offshore wells.
Among the various carbon dioxide capture processes today, post combustion carbon dioxide capture (PCC) based on ethanolamine solvent (MEA) chemical absorption is considered the most mature, viable and promising process because it is less costly and can be easily retrofitted to existing power plants.
As shown in FIG. 4, the furnace gas desulfurized in the flue gas cooler enters the absorption tower through fan pressurization, and reacts with the lean solution MEA solution flowing in the tower top to remove CO in the furnace gas2Absorption of CO2The rich solution flows out from the bottom of the absorption tower, exchanges heat through a lean and rich solution heat exchanger, is pressurized by a rich solution pump and then is heated to enter a stripping tower, and the rich solution is contacted with steam in a reboiler to generate CO2Desorption effect, desorption of CO2Purifying to obtain high-pressure CO2A gas. To ensure stable operation of the system, water is replenished in the mixer to ensure system balance. The chemical equilibrium reactions involved in this model are shown in formulas (1) - (7):
the kinetic reversible reactions involved can be expressed as:
for the whole PCC process, the most important is CO2The capture rate is improved and quick tracking is realized, but the capture rate is influenced by lean solution flow and flue gas flow from a coal power plant, 90% of control strategies adopted by the current thermal power plant are traditional control schemes based on PI and PID control, but the control algorithm cannot solve a multivariable coupling control object, and then the object has the phenomena of large inertia, large hysteresis and strong interference aiming at a reboiler, a condenser and a lean and rich solution heat exchange process in the whole process. Therefore, it is necessary to provide a control method to eliminate the hysteretic interference.
Disclosure of Invention
An object of the present invention is to provide a CO2Trapped DMC-PIDA cascade system; another object of the present invention is to provide a CO2Trapped DMC-PID cascade system control method. The method solves the problem of CO after combustion2In the capture process, the large inertia and large lag caused by the heat exchange process of a reboiler, a condenser and the lean and rich liquid and the sudden random interference caused by the suppression of the flue gas flow are caused, so that CO is generated2The trapping rate is greatly improved; the method not only keeps the excellent performance of the two controllers, but also has the structural characteristics of a cascade system, and completes the control of large delay and strong interference of the controlled object, thereby further improving CO2The capture system has adaptability and flexibility to variable load operation of the thermal power station.
In order to achieve the above purpose, the invention provides a CO2Captured DMC-PID cascade system comprising CO2Capture control module and CO2A capture absorption module, the CO2The trapping control module is arranged on the CO2The front end of the trapping and absorbing module; the CO is2The trapping control module mainly comprises an outer ring module and an inner ring module; the outer ring module is connected with the inner ring module in series; the outer ring module mainly consists of a DMC controller, and the inner ring module mainly consists of a PID controller; the DMC controller is sequentially connected with a PID controller and CO2A trapping and absorbing module; the CO is2End-mounted CO of capture absorption module2Content sensor, the CO2The content sensor is connected with the DMC controller, and the CO is2The initiating terminal of entrapment absorption module lets in the coal power plant flue gas after the burning through the flue gas pipeline, install flue gas flow sensor on the flue gas pipeline, flue gas flow sensor detects the flue gas flow of coal power plant flue gas, flue gas flow sensor is connected with the PID controller.
The CO2 capturing and absorbing module mainly comprises an absorbing tower and a stripping tower which are connected with each other.
Said one kind of CO2The control method of the trapped DMC-PID cascade system comprises the following implementation steps:
(1) with post-combustion CO2The trapping process is a controlled object, the lean liquid flow is used as a system input quantity (operation variable), and the flue gas flow is used as interferenceAmount of CO2The method comprises the steps that firstly, a PCC process model is established in Aspen Plus, then an open-loop test is carried out on the PCC process model, the method is that the model is firstly subjected to steady-state simulation in Aspen Plus, pressure is set to be a driving type, then the model is led out to Aspen Dynamics for dynamic simulation, and then a series of step response tests are carried out on a controlled system according to actual industrial reality constraints of operation variables and disturbance variables and given values of the controlled variables, and the specific operation is as follows: firstly, performing step response test on one of the operation variables, setting other variables to be unchanged, and obtaining the dynamic response change of the controlled variable, so as to analyze the influence of each operation variable on the controlled variable and obtain related response data;
(2) then, model identification of the system is carried out based on a subspace identification method, and the method is characterized in that a parameter matrix of an estimated system model is extracted from a row subspace or a column subspace of a specific Hankel matrix by using input and output data of the system; the state space model of the system can be identified directly by inputting and outputting data, the calculation efficiency is high, and the identification order is easy to select;
the subspace identification algorithm may be divided into two steps:
the method comprises the steps of firstly, constructing a data Hankel matrix and an extended input and output matrix equation, and acquiring a generalized observability matrix gamma of a system through orthogonal projection, linear algebraic tool QR decomposition, singular value decomposition and other methodsfOr estimation of a sequence of states XfObtaining the corresponding subspace;
secondly, determining a transfer function model of the system by a least square method and the like according to the obtained generalized observability matrix or state sequence estimation, wherein the set input variable of the DMC controller is CO2The set value of the content is calculated by the DMC controller to obtain the input value of the corresponding PID controller, and then the boundary value and the preset value of the DMC controller are adjusted in the industrial range of the operating variable and the controlled variable to obtain a DMC-PID cascade control system, thereby obtaining CO2The collection rate.
The outer ring module is a constant value system, and the inner ring module is a follow-up system.
Said one kind of CO2Control method for trapped DMC-PID cascade system, setting input variable of DMC controller as outlet CO2And (3) setting the content, taking an output signal as a set value of a PID controller, taking the inner ring flue gas flow as interference, monitoring the inner feedback as flue gas flow, detecting the outer ring flue gas content, and then adjusting a boundary value and a preset value of the DMC controller within the industrial range of an operating variable and a controlled variable to obtain a DMC-PID cascade control structure.
In the control method, the set value of a DMC controller is CO2And (4) content, the PID controller resists and eliminates high-frequency random interference brought by flue gas flow, and the DMC controller completes large-inertia large-lag control by a generalized object.
The method is based on post-combustion CO of MEA2And (4) trapping.
Said one kind of CO2The control method of the trapped DMC-PID cascade system comprises the following two steps:
in the first part, the smoke flow detected by a smoke flow sensor is quickly stabilized by adopting a conventional PID controller algorithm;
second part, for the control of the CO by PID controllers2The method comprises the following steps of designing a DMC controller by a generalized control object formed by a trapping process:
step 1: setting k to be 1, setting the sampling time t to be 2s, setting the modeling time domain N to be 1200, setting the prediction time domain P to be 30, and controlling the time domain M to be 10 to satisfy that M is less than or equal to N and less than or equal to P;
step 2: initializing CO2Collecting process system parameters, v (1) w (1) e1(1) When the value is equal to 0, loop parameters of an inner loop module PID controller; y (1) ═ u (1) ═ e (1) ═ 0, the DMC controller loop parameter of the outer loop module;
step 3: the construction matrix A is a dynamic matrix and consists of a step response coefficient aiA constituent P M matrix;
step 4: according to the formula
Calculating v (1);
step 5: calculating an output error e (1) from the formula e (k) ═ u (k) — p (k);
step 6: according to the formula
Calculating an outer loop module DMC controller increment Δ u (k),.., Δ u (k + M-1);
step 7: setting a secondary performance index at the moment k:
step 8: calculating to obtain an inner ring module PID controller rule u (1) according to a formula u (k) ═ u (k-1) + delta u (k);
step 9: according to the formula
Calculating to obtain the PID controller rule of the inner ring module, and if v (k) is more than or equal to 10, v (k) is more than 10; if v (k) ≦ -10, v (k) ═ 10;
step 10: according to the formula e1(k)＝w(k)-p1(k) Calculating to obtain the error e of the inner ring module PID controller1(1)；
Step 11: setting k to k +1, returning to step 4;
and at the moment k, calculating an output error e (k) of the current moment by using rolling prediction optimization, and simultaneously calculating a control increment delta u (k) of the current moment to the moment k +1 to obtain a new output error e (k +1) and a new control increment delta u (k +1), wherein the control algorithm is repeatedly carried out on line by combining the rolling optimization mode of feedback correction.
The invention relates to a CO2The trapped DMC-PID cascade system has the advantages that: the method solves the problem of CO after combustion2In the capture process, the large inertia and large lag caused by the heat exchange process of a reboiler, a condenser and the lean and rich liquid and the sudden random interference caused by the suppression of the flue gas flow are caused, so that CO is generated2The trapping rate is greatly improved; the method not only keeps the excellent performance of the two controllers, but also has the structural characteristics of a cascade system, and completes the control of the large delay and strong interference of the controlled object, thereby further improvingHigh CO content2The capture system has adaptability and flexibility to variable load operation of the thermal power station.
Drawings
FIG. 1 is post-combustion CO2A block diagram of a DMC-PID cascade control method of a capture process;
FIG. 2 shows the CO under the condition of a given slope and with Gaussian white noise interference2DMC-PID cascade control simulation in the trapping process, wherein dotted lines are DMC-PID cascade control, point-cross line PID-PID cascade control and point-dotted line DMC control, and are simulation comparison graphs of smoke flow dynamic control effects under a step set value (the set value is a straight line);
FIG. 3 shows CO at a given step signal according to the present invention2DMC-PID cascade control simulation of trapping rate, wherein the dotted line is DMC-PID cascade control, the dot transverse line is PID-PID cascade control, and the dot dotted line is DMC control under the slope set value2A simulation comparison graph (the set value is a straight line) of the trapping rate dynamic control effect;
FIG. 4 shows CO of a large coal-fired power plant of the present invention2The trapping system is a schematic flow chart.
Detailed Description
Example 1
As shown in FIGS. 1-4, a CO according to the present invention2Captured DMC-PID cascade system comprising CO2Capture control module and CO2A capture absorption module, the CO2The trapping control module is arranged on the CO2The front end of the trapping and absorbing module; the CO is2The trapping control module mainly comprises an outer ring module and an inner ring module; the outer ring module is connected with the inner ring module in series; the outer ring module mainly consists of a DMC controller, and the inner ring module mainly consists of a PID controller; the DMC controller is sequentially connected with a PID controller and CO2A trapping and absorbing module; the CO is2End-mounted CO of capture absorption module2Content sensor, the CO2The content sensor is connected with the DMC controller, and the CO is2The initiating terminal of the trapping absorption module is introduced into the combusted coal power plant flue gas through a flue gas pipeline, a flue gas flow sensor is installed on the flue gas pipeline, and the flue gas flow sensor detects the coal power plant flue gasAnd the flue gas flow sensor is connected with the PID controller.
The CO2 capturing and absorbing module mainly comprises an absorbing tower and a stripping tower which are connected with each other.
Said one kind of CO2The control method of the trapped DMC-PID cascade system comprises the following implementation steps:
(1) with post-combustion CO2The trapping process is a controlled object, the lean solution flow is used as an operation variable, the flue gas flow is used as an interference amount, and CO2The trapping rate is used as a controlled variable;
firstly, establishing a PCC process model in Aspen Plus, then carrying out open-loop test on the PCC process model, wherein the method comprises the steps of enabling the model to be subjected to steady-state simulation in Aspen Plus, setting pressure as a driving type, then leading out the pressure to Aspen Dynamics for dynamic simulation, and then carrying out a series of step response tests on a controlled system according to actual industrial practical constraints of operation variables and interference and given values of controlled variables, wherein the specific operations are as follows: firstly, performing step response test on one of the operation variables, setting other variables to be unchanged, and obtaining the dynamic response change of the controlled variable, so as to analyze the influence of each operation variable on the controlled variable and obtain related response data;
(2) then, model identification of the system is carried out based on a subspace identification method, the method is characterized in that a parameter matrix of an estimated system model is extracted from a row subspace or a column subspace of a specific Hankel matrix by using input and output data of the system, a state space model of the system is identified directly through the input and output data, the calculation efficiency is high, and the identification order is easy to select;
the subspace identification algorithm may be divided into two steps:
the method comprises the steps of firstly, constructing a data Hankel matrix and an extended input and output matrix equation, and acquiring a generalized observability matrix gamma of a system through orthogonal projection, linear algebraic tool QR decomposition, singular value decomposition and other methodsfOr estimation of a sequence of states XfObtaining the corresponding subspace;
second, estimating based on the obtained generalized observability matrix or state sequenceDetermining a transfer function model of the system by a least square method and the like, wherein the DMC controller sets an input variable to be CO2The set value of the content is calculated by the DMC controller to obtain the input value of the corresponding PID controller, and then the boundary value and the preset value of the DMC controller are adjusted in the industrial range of the operating variable and the controlled variable to obtain a DMC-PID cascade control system, thereby obtaining CO2The collection rate.
The outer ring module is a constant value system, and the inner ring module is a follow-up system.
Said one kind of CO2Control method for trapped DMC-PID cascade system, setting input variable of DMC controller as outlet CO2And (3) setting the content, taking an output signal as a set value of a PID controller, taking the inner ring flue gas flow as interference, monitoring the inner feedback as flue gas flow, detecting the outer ring flue gas content, and then adjusting a boundary value and a preset value of the DMC controller within the industrial range of an operating variable and a controlled variable to obtain a DMC-PID cascade control structure.
In the control method, the set value of a DMC controller is CO2And (4) content, the PID controller resists and eliminates high-frequency random interference brought by flue gas flow, and the DMC controller completes large-inertia large-lag control by a generalized object.
The method is based on post-combustion CO of MEA2And (4) trapping.
Said one kind of CO2The control method of the trapped DMC-PID cascade system comprises the following two steps:
in the first part, the smoke flow detected by a smoke flow sensor is quickly stabilized by adopting a conventional PID controller algorithm;
second part, for the control of the CO by PID controllers2The method comprises the following steps of designing a DMC controller by a generalized control object formed by a trapping process:
step 1: setting k to be 1, setting the sampling time t to be 2s, setting the modeling time domain N to be 1200, setting the prediction time domain P to be 30, and controlling the time domain M to be 10 to satisfy that M is less than or equal to N and less than or equal to P;
step 2: initializing CO2Collecting process system parameters, v (1) w (1) e1(1) 0, inner ring moldBlock PID controller loop parameters; y (1) ═ u (1) ═ e (1) ═ 0, the DMC controller loop parameter of the outer loop module;
step 3: the construction matrix A is a dynamic matrix and consists of a step response coefficient aiA constituent P M matrix;
step 4: according to the formula
Calculating v (1);
step 5: calculating an output error e (1) from the formula e (k) ═ u (k) — p (k);
step 6: according to the formula
Calculating an outer loop module DMC controller increment Δ u (k),.., Δ u (k + M-1);
step 7: setting a secondary performance index at the moment k:
step 8: calculating to obtain an inner ring module PID controller rule u (1) according to a formula u (k) ═ u (k-1) + delta u (k);
step 9: according to the formula
Calculating to obtain the PID controller rule of the inner ring module, and if v (k) is more than or equal to 10, v (k) is more than 10; if v (k) ≦ -10, v (k) ═ 10;
step 10: according to the formula e1(k)＝w(k)-p1(k) Calculating to obtain the error e of the inner ring module PID controller1(1)；
Step 11: setting k to k +1, returning to step 4;
and at the moment k, calculating an output error e (k) of the current moment by using rolling prediction optimization, and simultaneously calculating a control increment delta u (k) of the current moment to the moment k +1 to obtain a new output error e (k +1) and a new control increment delta u (k +1), wherein the control algorithm is repeatedly carried out on line by combining the rolling optimization mode of feedback correction.
The modeling data is generated by Aspen Plus Dynamics simulation, random excitation signals are added to input ends of flue gas flow and lean solution flow to obtain an actual output curve of the system, and therefore open-loop experimental data of flue gas flow and lean solution flow changes to the carbon dioxide capture system are obtained. And (3) adopting a subspace identification method for input and output data by utilizing the subspace identification principle, wherein the sampling time is set to be 36s according to the sampling period of the actual system. A fitted curve of the actual output and the predicted output of the system is obtained. According to the identification data, the system achieves 96.42% of fitting degree and achieves satisfactory fitting degree; and finally, completing the design of the DMC-PID cascade control system.
This example is to compare the MEA-based post-combustion CO of the present invention2A DMC-PID cascade control method in a capture process adopts three control strategies of DMC-PID control, PID-PID control and DMC control to carry out experimental simulation comparison: simulation 1 As shown in FIG. 2, for a given ramp signal, with white Gaussian noise interference, CO2The comparison graph (the set value is a straight line) of the dynamic control effect of the medium flue gas flow under DMC-PID cascade control (dotted line), PID-PID cascade control (point horizontal line) and DMC control (point dotted line) in the trapping process can show that the DMC-PID cascade control method is superior to other two control methods in terms of overshoot, reaction time and the like; simulation 2 As shown in FIG. 3, given a step signal, CO2The comparison graph (the set value is a straight line) of the dynamic control effect of the trapping rate under DMC-PID cascade control (a dotted line), PID-PID cascade control (a point cross line) and DMC control (a point dotted line) shows that the DMC-PID cascade control method is superior to other two control methods in overshooting, reaction time and the like, and can realize the rapid tracking of the trapping rate on the set value, so that the method improves the CO content2The operational quality of the capture system.
Claims (8)
1. CO (carbon monoxide)2Captured DMC-PID cascade system comprising CO2Capture control module and CO2The trapping and absorbing module is characterized in that: the CO is2The trapping control module is arranged on the CO2The front end of the trapping and absorbing module; the CO is2The trapping control module mainly comprises an outer ring dieThe block and the inner ring module; the outer ring module is connected with the inner ring module in series; the outer ring module mainly consists of a DMC controller, and the inner ring module mainly consists of a PID controller; the DMC controller is sequentially connected with a PID controller and CO2A trapping and absorbing module; the CO is2End-mounted CO of capture absorption module2Content sensor, the CO2The content sensor is connected with the DMC controller, and the CO is2The initiating terminal of entrapment absorption module lets in the coal power plant flue gas after the burning through the flue gas pipeline, install flue gas flow sensor on the flue gas pipeline, flue gas flow sensor detects the flue gas flow of coal power plant flue gas, flue gas flow sensor is connected with the PID controller.
2. CO according to claim 12Trapped DMC-PID cascading system, characterized by: the CO is2The trapping and absorbing module mainly comprises an absorbing tower and a stripping tower, wherein the absorbing tower is connected with the stripping tower.
3. CO according to claim 22A method of controlling a trapped DMC-PID cascade system, characterized by:
(1) with post-combustion CO2The trapping process is a controlled object, the lean liquid flow is used as the system input quantity, namely an operation variable, the flue gas flow is used as the interference quantity, and CO is used as the CO2The method comprises the steps that firstly, a PCC process model is established in Aspen Plus, then an open-loop test is carried out on the PCC process model, the method is that the model is firstly subjected to steady-state simulation in Aspen Plus, pressure is set to be a driving type, then the model is led out to Aspen Dynamics for dynamic simulation, and then a series of step response tests are carried out on a controlled system according to actual industrial reality constraints of operation variables and interference quantity and given values of controlled variables, and the specific operation is as follows: firstly, performing step response test on one of the operation variables, setting other variables to be unchanged, and obtaining the dynamic response change of the controlled variable, so as to analyze the influence of each operation variable on the controlled variable and obtain related response data;
(2) then, model identification of the system is carried out based on a subspace identification method, and the method is characterized in that a parameter matrix of an estimated system model is extracted from a row subspace or a column subspace of a specific Hankel matrix by using input and output data of the system; the state space model of the system can be identified directly by inputting and outputting data, the calculation efficiency is high, and the identification order is easy to select;
the subspace identification algorithm is divided into two steps:
the method comprises the steps of firstly, constructing a data Hankel matrix and an extended input and output matrix equation, and acquiring a generalized observability matrix gamma of a system through orthogonal projection, linear algebraic tool QR decomposition, singular value decomposition and other methodsfOr estimation of a sequence of states XfObtaining the corresponding subspace;
secondly, determining a transfer function model of the system by a least square method and the like according to the obtained generalized observability matrix or state sequence estimation, wherein the set input variable of the DMC controller is CO2The set value of the content is calculated by the DMC controller to obtain the input value of the corresponding PID controller, and then the boundary value and the preset value of the DMC controller are adjusted in the industrial range of the operating variable and the controlled variable to obtain a DMC-PID cascade control system, thereby obtaining CO2The collection rate.
4. CO according to claim 32A method of controlling a trapped DMC-PID cascade system, characterized by: the outer ring module is a constant value system, and the inner ring module is a follow-up system.
5. CO according to claim 42A method of controlling a trapped DMC-PID cascade system, characterized by: setting DMC controller input variable to Outlet CO2And (3) setting the content, taking an output signal as a set value of a PID controller, taking the inner ring flue gas flow as interference, monitoring the inner feedback as flue gas flow, detecting the outer ring flue gas content, and then adjusting a boundary value and a preset value of the DMC controller within the industrial range of an operating variable and a controlled variable to obtain a DMC-PID cascade control structure.
6. CO according to claim 52A method of controlling a trapped DMC-PID cascade system, characterized by: in the control method, the set value of a DMC controller is CO2And (4) content, the PID controller resists and eliminates high-frequency random interference brought by flue gas flow, and the DMC controller completes large-inertia large-lag control by a generalized object.
7. CO according to claim 62A method of controlling a trapped DMC-PID cascade system, characterized by: the method is based on post-combustion CO of MEA2And (4) trapping.
8. A CO as claimed in claim 72A method of controlling a trapped DMC-PID cascade system, characterized by: the method comprises the following two concrete steps:
in the first part, the smoke flow detected by a smoke flow sensor is quickly stabilized by adopting a conventional PID controller algorithm;
second part, for the control of the CO by PID controllers2The method comprises the following steps of designing a DMC controller by a generalized control object formed by a trapping process:
step 1: setting k to be 1, setting the sampling time t to be 2s, setting the modeling time domain N to be 1200, setting the prediction time domain P to be 30, and controlling the time domain M to be 10 to satisfy that M is less than or equal to N and less than or equal to P;
step 2: initializing CO2Collecting process system parameters, v (1) w (1) e1(1) When the value is equal to 0, loop parameters of an inner loop module PID controller; y (1) ═ u (1) ═ e (1) ═ 0, the DMC controller loop parameter of the outer loop module;
step 3: the construction matrix A is a dynamic matrix and consists of a step response coefficient aiA constituent P M matrix;
step 4: according to the formula
Calculating v (1);
step 5: calculating an output error e (1) from the formula e (k) ═ u (k) — p (k);
step 6: according to the formula
Calculating an outer loop module DMC controller increment Δ u (k),.., Δ u (k + M-1);
step 7: setting a secondary performance index at the moment k:
step 8: calculating to obtain an inner ring module PID controller rule u (1) according to a formula u (k) ═ u (k-1) + delta u (k);
step 9: according to the formula
Calculating to obtain the PID controller rule of the inner ring module, and if v (k) is more than or equal to 10, v (k) is more than 10; if v (k) ≦ -10, v (k) ═ 10;
step 10: according to the formula e1(k)＝w(k)-p1(k) Calculating to obtain the error e of the inner ring module PID controller1(1)；
Step 11: setting k to k +1, returning to step 4;
and at the moment k, calculating an output error e (k) of the current moment by using rolling prediction optimization, and simultaneously calculating a control increment delta u (k) of the current moment to the moment k +1 to obtain a new output error e (k +1) and a new control increment delta u (k +1), wherein the control algorithm is repeatedly carried out on line by combining the rolling optimization mode of feedback correction.
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