CN106437956B - A kind of fuzzy control method of series connection selective catalytic reduction system operating - Google Patents

A kind of fuzzy control method of series connection selective catalytic reduction system operating Download PDF

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CN106437956B
CN106437956B CN201610847406.2A CN201610847406A CN106437956B CN 106437956 B CN106437956 B CN 106437956B CN 201610847406 A CN201610847406 A CN 201610847406A CN 106437956 B CN106437956 B CN 106437956B
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fuzzy control
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input
scr
indicate
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CN106437956A (en
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尤坤
张辉
蒋楷
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Shanghai Maritime University
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
    • F01N3/08—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous
    • F01N3/10—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust
    • F01N3/18—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control
    • F01N3/20—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control specially adapted for catalytic conversion ; Methods of operation or control of catalytic converters
    • F01N3/2066—Selective catalytic reduction [SCR]
    • F01N3/208—Control of selective catalytic reduction [SCR], e.g. dosing of reducing agent
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N11/00—Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N13/00—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00
    • F01N13/009—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00 having two or more separate purifying devices arranged in series
    • F01N13/0093—Exhaust or silencing apparatus characterised by constructional features ; Exhaust or silencing apparatus, or parts thereof, having pertinent characteristics not provided for in, or of interest apart from, groups F01N1/00 - F01N5/00, F01N9/00, F01N11/00 having two or more separate purifying devices arranged in series the purifying devices are of the same type
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N9/00—Electrical control of exhaust gas treating apparatus
    • F01N9/005—Electrical control of exhaust gas treating apparatus using models instead of sensors to determine operating characteristics of exhaust systems, e.g. calculating catalyst temperature instead of measuring it directly
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2570/00—Exhaust treating apparatus eliminating, absorbing or adsorbing specific elements or compounds
    • F01N2570/14—Nitrogen oxides
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2570/00—Exhaust treating apparatus eliminating, absorbing or adsorbing specific elements or compounds
    • F01N2570/18—Ammonia
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N2900/00—Details of electrical control or of the monitoring of the exhaust gas treating apparatus
    • F01N2900/04—Methods of control or diagnosing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/12—Improving ICE efficiencies
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Health & Medical Sciences (AREA)
  • Toxicology (AREA)
  • Treating Waste Gases (AREA)
  • Exhaust Gas Treatment By Means Of Catalyst (AREA)

Abstract

The invention discloses a kind of fuzzy control method of series connection selective catalytic reduction system operating, this method includes：The first step indicates selective catalytic reduction, founding mathematical models according to the chemical equation of selective catalytic reduction with state equation；Second step, the mathematical model established using the first step, Controlling model is established using Simulink；Third walks, and obtains membership function figure, establishes fuzzy control method, is used for the ammonia spraying amount of control selections catalyst reduction system；The fuzzy control method that third step is established is set in fuzzy control model, runs the Controlling model, obtain simulation result by the 4th step.The method of the present invention can strictly control spray NH using series connection SCR and fuzzy control method3Amount, avoids secondary pollution caused by NH_3 leakage, while can be good at realizing NOXHigh transformation efficiency.

Description

A kind of fuzzy control method of series connection selective catalytic reduction system operating
Technical field
The present invention relates to selective catalytic reduction system operatings, and in particular to a kind of series connection selective catalytic reduction system operating obscures Control method.
Background technology
In recent years with the enhancing of the deterioration of global environment and people's environmental consciousness, foreign-going ship exhaust gas emission problem by The concern for having arrived more and more national and linked groups is discharged related regulation with marine exhaust and is also increasingly stringenter.Ship is arranged Nitrogen oxides (NO in the exhaust gas putX) serious pollution is caused to the atmospheric environment of the earth, so some country's tissues are to NOX Standard has been formulated in discharge.International Maritime Organization (IMO) provides the NO in exhaust gasXContent should be down to 70%, and certain countries are to NOX's More strict requirements have been formulated in discharge, for example, Sweden proposes domestic ship NOXDischarge is limited to 2g/ (kWh), U.S. sea Domain navigating ship NOXEmission limit is 6.4g/ (kWh), this must take post-processing approach can be only achieved.Existing processing NOX Post-processing approach in selective catalytic reduction be comparison effectively and a kind of ripe method, this post-processing approach processing NOXSignificant effect, be generally possible to reduce by 80% NOX, and this method has been applied in real ship, in better method Before it was found that, selective catalytic reduction is the best method of current processing nitrogen oxides.So developing and improving this method It has great significance for protecting the global environment.
The principle of selective catalytic reduction is using ammonia as reducing agent under the effect of the catalyst NOXIt is converted into ring Border harmless nitrogen and water.Generally for realization NOXHigh transformation efficiency, it may be desirable to the ammonia of a high dose be added.But it is another Aspect, excessive ammonia, which is added, can cause NH_3 leakage problem, cause secondary pollution.Finally, the decision of ammonia spraying amount will weigh the two Problem.Traditional selective catalytic reduction system operating (SCR) with control method be PID control, the nitrogen oxidation after reaction Object concentration is as feedback quantity.But only it usually will appear NH_3 leakage problem with single SCR system of PID control.
Invention content
The object of the present invention is to provide a kind of fuzzy control method of series connection selective catalytic reduction system operating, the fuzzy controls Method solve the problems, such as it is traditional only there is NH_3 leakage with single SCR system of PID control, done in original SCR system Some changes SCR and change control method and solve the above problem, can avoid secondary dirt caused by NH_3 leakage by connecting Dye, and can be good at realizing NOXHigh transformation efficiency.
In order to achieve the above object, the present invention provides a kind of fuzzy control sides of series connection selective catalytic reduction system operating Method, this method include：
The first step indicates selective catalysis also according to the chemical equation of selective catalytic reduction with state equation Original, founding mathematical models；
Second step, the mathematical model established using the first step, Controlling model, the control mould are established using Simulink Type includes：Fuzzy control model and series connection SCR fuzzy controllers, the fuzzy control model and series connection SCR fuzzy controllers It is equipped with NH3With outputting and inputting for NO；
Third walks, according to the NH of fuzzy control model3With the membership function output and input and NH of NO3With NO's The domain output and input obtains membership function figure, establishes fuzzy control method, is used for control selections catalyst reduction system Ammonia spraying amount；
The fuzzy control method that third step is established is set in fuzzy control model, runs the control by the 4th step Model obtains simulation result.
The chemical equation of selective catalytic reduction described in the first step includes：
Ammonia adsorption catalyst reacts：
Ammonolysis adsorption reaction：
Gas phase nitrogen oxides reduces reaction：
Ammonia is oxidized to the reaction of NO at high temperature：
State equation described in the first step is as follows：
In formula (5) and formula (6), CNOIndicate the concentration of the NO of series connection SCR fuzzy controllers output, CNH3Indicate series connection SCR moulds The NH of fuzzy controllers output3Concentration, U indicate input NH3Concentration, d indicate input NO concentration, Y indicate reaction after the completion of export The concentration of NO, ΘSCIndicate that the total storage capacity of ammonia, θ indicate that surface coverage, F indicate flow, VcatIndicate the appearance of SCR consersion units Product, RjIndicate that the reactivity of reaction j, j represent ads, des, red or ox, ads indicates that the reaction of ammonia adsorption catalyst, des indicate ammonia Reaction enclosure is desorbed, red indicates that gas phase nitrogen oxides reduces reaction, and ox indicates that ammonia is oxidized to the reaction of NO at high temperature；
Wherein,
In formula (7), kjIndicate the pre-exponential factor of reaction j, EjIndicate that reaction j needs the energy consumed, R to indicate general gas Body constant, T indicate reaction temperature.
The series connection SCR fuzzy controllers include：SCR modules one, SCR modules two.
Wherein, the SCR modules one can be used to be monitored and controlled the elimination of NO, and the SCR modules two can be used to supervise Survey and control NH3Elimination.
The input of the fuzzy control model includes：The NO input quantities of input, the NH of input3Output quantity -1, input NH3The NO output quantities -1 of output quantity -2 and input；
The NH3Output quantity -1 indicates the NH after gas phase nitrogen oxides reduces reaction of one monitoring of SCR modules3It is defeated Output；
The NH3Output quantity -2 indicates that passing through for two monitoring of SCR modules eliminates NH3NH afterwards3Output quantity；
The NO output quantities -1 indicate the NO outputs after gas phase nitrogen oxides reduces reaction of one monitoring of SCR modules Amount；
The output of the fuzzy control model includes：The ammonia spraying amount of output.
The membership function of the fuzzy control model output and input is all made of Triangleshape grade of membership function.
The input of the fuzzy control model selects 3 membership functions.
The output of the fuzzy control model selects 8 membership functions.
The determination method for the domain of the fuzzy control model output and input is as follows：
First, the data and curves of the NO input quantities inputted by fuzzy control model determine the domain of NO input quantities；
Secondly, the domain of ammonia spraying amount is determined by the domain of NO input quantities；
Finally, the NH inputted by the ranging ambiguity control module of NO input quantities3Output quantity -1 and NO output quantities -1 Domain maximum value, obtain NH3The range of the domain of output quantity -1 and NO output quantities -1 is arranged by the domain of ammonia spraying amount Different NH3The domain of output quantity -2, by NH3The domain of output quantity -2 is set in fuzzy control model, and is run, and is obtained To simulation result, it is compared to obtain NH3The optimal domain of output quantity -2.
The Controlling model operation method is as follows：
The fuzzy control model exports ammonia spraying amount, and ammonia spraying amount information is passed to the SCR modules one, SCR moulds Block one exports NH3The information of output quantity -1 passes to the SCR modules two, and feeds this information to fuzzy control model, SCR modules two export NH3The information of output quantity -2, and the information is fed back into fuzzy control model, the Fuzzy Control molding Block obtains NH3Output quantity -1 and NH3The information of output quantity -2；
By the SCR modules one described in the information input of NO input quantities, temperature T and flow F, SCR modules one export NO outputs The information of amount -1 passes it to the SCR modules two, while the information is fed back to fuzzy control model, will be warm The information input SCR modules two of T-20K and flow F are spent, SCR modules two export the information of NO output quantities -2, the Fuzzy Control Molding block obtains the information of NO output quantities -1；
By the fuzzy control model described in the information input of NO input quantities, fuzzy control model is by the NH of acquisition3Output quantity- 1、NH3The information of output quantity -2, NO output quantities -1 and NO input quantities is counted by the third step fuzzy control method It calculates, obtains simulation result.
A kind of fuzzy control method of series connection selective catalytic reduction system operating provided by the invention, solves traditional list SCR system be easy to cause NH3The problem of revealing, causing secondary pollution, has the following advantages：
The SCR system of the present invention is series connection SCR system, and there are two SCR modules, SCR modules one are mainly used for monitoring and control The elimination of NO processed, SCR modules two are mainly used for that NH is monitored and controlled3Elimination, can efficiently eliminate NO and NH in exhaust gas3；This Invention uses fuzzy control model, can control spray NH3Amount, prevents the leakage of ammonia, avoids causing secondary pollution.
Description of the drawings
Fig. 1 is the NH of the present invention3The membership function figure of output quantity -1, NO input quantities or NO output quantities -1.
Fig. 2 is the NH of the present invention3The membership function figure of output quantity -2.
Fig. 3 is the membership function figure of the ammonia spraying amount of the present invention.
Fig. 4 is the model schematic of the series connection SCR fuzzy controllers with fuzzy control model of the present invention.
Fig. 5 is the concentration time curve figure of the ammonia spraying amount and NO input quantities of the present invention.
Fig. 6 is the concentration time curve figure of the NO input quantities of the present invention, NO output quantities -1 and NO output quantities -2.
Fig. 7 is the ammonia spraying amount of the present invention, NH3Output quantity -1 and NH3The concentration time curve figure of output quantity -2.
Specific implementation mode
Below in conjunction with drawings and examples, the following further describes the technical solution of the present invention.
A kind of fuzzy control method of series connection selective catalytic reduction system operating provided by the invention, this method include：
The first step indicates selective catalysis also according to the chemical equation of selective catalytic reduction with state equation Original, founding mathematical models；
Second step, the mathematical model established using the first step, establishes Controlling model, Simulink can using Simulink There is provided a Modelling of Dynamic System, emulation and comprehensive analysis the integration environment, the Controlling model includes：Fuzzy control model With series connection SCR fuzzy controllers, the fuzzy control model and series connection SCR fuzzy controllers are equipped with NH3With the input of NO And output；
Third walks, according to the NH of fuzzy control model3With the NO membership functions output and input and NH3It is inputted with NO With the domain of output, membership function figure is obtained, fuzzy control method is established, is used for the spray of control selections catalyst reduction system Ammonia amount；
The fuzzy control method that third step is established is set to the Fuzzy Control molding of series connection SCR fuzzy controllers by the 4th step In block, operation Controlling model obtains simulation result.
1, the foundation of mathematical model
Selecting property in the first step is catalyzed the chemical equation restored：
Ammonia adsorption catalyst reacts：
Ammonolysis adsorption reaction：
Gas phase nitrogen oxides reduces reaction：
Ammonia is oxidized to the reaction of NO at high temperature：
According to above-mentioned chemical equation, pass through following state equation, founding mathematical models：
In formula (5) and formula (6), CNOIndicate the concentration of the NO of series connection SCR fuzzy controllers output, CNH3Indicate series connection SCR moulds The NH of fuzzy controllers output3Concentration, U indicate input NH3Concentration, d indicate input NO concentration, Y indicate reaction after the completion of export The concentration of NO, ΘSCIndicate that the total storage capacity of ammonia, θ indicate that surface coverage, F indicate flow, VcatIndicate the appearance of SCR consersion units Product, RjIndicate that the reactivity (j=ads, des, red, ox) of reaction j, ads indicate that the reaction of ammonia adsorption catalyst, des indicate ammonolysis Adsorption reaction, red indicate that gas phase nitrogen oxides reduces reaction, and ox indicates that ammonia is oxidized to the reaction of NO at high temperature.
Wherein,
In formula (7), kjIndicate the pre-exponential factor of reaction j, EjIndicate that reaction j needs the energy consumed, R to indicate general gas Body constant, T indicate reaction temperature.
When the mathematical model that this state equation is established is for controlling SCR modules for the moment, in formula (5) and formula (6), CNOSpecific generation The concentration for the NO that table SCR modules one export, CNH3Indicate the NH of one output of SCR modules3Concentration, Y indicate SCR moulds after the completion of reaction The concentration for the NO that block one exports；When the mathematical model that this state equation is established is used to control SCR modules two, formula (5) and formula (6) In, CNOThe concentration of the specific NO for representing the output of SCR modules two, CNH3Indicate the NH of two output of SCR modules3Concentration, Y indicate reaction The concentration for the NO that SCR modules two export after the completion.
2, Controlling model
As shown in figure 4, Controlling model includes：Fuzzy control model and series connection SCR fuzzy controllers, SCR Fuzzy Controls of connecting Device processed includes：SCR modules one, SCR modules two.
Wherein, fuzzy control model is equipped with 4 inputs and 1 output, and 4 inputs are respectively the NO input quantities, defeated of input The NH entered3Output quantity -1, the NH inputted3Output quantity -2 and the ammonia spraying amount that the output of NO output quantities -1,1 of input is output.
NH3Output quantity -1 indicates the NH after gas phase nitrogen oxides reduces reaction of one monitoring of SCR modules3Output quantity.
NH3Output quantity -2 indicates that passing through for two monitoring of SCR modules eliminates NH3NH afterwards3Output quantity.
NO output quantities -1 indicate the NO output quantities after gas phase nitrogen oxides reduces reaction of one monitoring of SCR modules.
SCR modules one can be used to be monitored and controlled the elimination of NO, and SCR modules two can be used to that NH to be monitored and controlled3Elimination.
3, membership function figure is obtained
(1) membership function
In order to reduce simulation time, and simplify fuzzy control rule, the NH of fuzzy control model3Output quantity -1 it is defeated Enter, the input of NO input quantities, the input of NO output quantities -1 and the output of ammonia spraying amount membership function be all made of triangle and be subordinate to Spend function.Wherein, NH3It is positioned as 3 with the number of the membership function of NO inputs, title is respectively bottom, middle and high, and there are 34 =81 kinds of results.Wherein, NH3The number of the membership function of output is set to 8, and title is respectively 1 to 8.
The membership function of 4 kinds of inputs can have 81 kinds of combinations, each combination and output are not one-to-one relationship, There is overlappings for the corresponding output of this 81 kinds combinations, so it is enough that the membership function number of output, which selects 8,.
Basic skills when establishing fuzzy control is：The ammonia spraying amount of fuzzy control model output is mainly defeated by the NO inputted Enter amount decision, input NO increases, then the ammonia spraying amount exported increases.Meanwhile the NH that ammonia spraying amount is also inputted3Output quantity -1, NH3It is defeated These three feedback quantities of output -2, NO output quantity -1 influence.Work as NH3Output quantity -1, NH3When output quantity -2 increases, then the spray ammonia that exports Amount should be reduced suitably.When NO output quantities -1 increase, the ammonia spraying amount of output should suitably increase.According to this basic skills so that Fuzzy control can meet the requirement of denitrification but also NH_3 leakage problem is made to reduce.
(2) domain is determined
First, according to the data and curves of the NO input quantities of fuzzy control model input, determine that the NO of fuzzy control model is defeated The input domain for entering amount is [0 0.017]；
Secondly, determine that the domain of the ammonia spraying amount of fuzzy control model, i.e. ammonia spraying amount domain are by the domain of NO input quantities [0 0.017]；
Finally, the NH inputted by the ranging ambiguity control module of NO input quantities3Output quantity -1 and NO output quantities -1 Domain maximum value 0.017, obtain NH3Ranging from [0 0.017] of the domain of output quantity -1 and NO output quantities -1, pass through Five kinds of NH are arranged in the domain of ammonia spraying amount3The domain of output quantity -2, this five kinds of domains be respectively [0 0.017], [0 0.012], [0 0.01], this five kinds of domains are set in fuzzy control model, and are run, imitated by [0 0.005], [0 0.003] Very as a result, being compared to obtain NH3The optimal domain of output quantity -2 is [0 0.005].
(3) membership function figure
By determining the membership function and domain that output and input, the membership function that may finally be output and input Figure.Due to the NH of fuzzy control model3The membership function number and domain phase of output quantity -1, NO input quantities and NO output quantities -1 Together, therefore their membership function figure is also identical.As shown in Figure 1, being NH3Output quantity -1, NO input quantities or NO output quantities -1 Membership function figure.As shown in Fig. 2, being NH3The membership function figure of output quantity -2.As shown in figure 3, for the membership function of ammonia spraying amount Figure.
4, simulation result
The operation method of Controlling model is as follows：
Fuzzy control model exports ammonia spraying amount, ammonia spraying amount information is passed to SCR modules one, SCR modules one export NH3It is defeated The information of output -1 passes to SCR modules two, and feeds this information to fuzzy control model, and SCR modules two export NH3Output The information of amount -2, and the information is fed back into fuzzy control model, fuzzy control model obtains NH3Output quantity -1 and NH3Output The information of amount -2.
By the information input SCR modules one of NO input quantities, temperature T and flow F, SCR modules one export NO output quantities -1 Information passes it to SCR modules two, while the information is fed back to fuzzy control model, by temperature T-20K and flow The information input SCR modules two of F, SCR modules two export the information of NO output quantities -2, and fuzzy control model obtains NO output quantities -1 Information.T-20K indicates the low 20K of temperature of the temperature ratio SCR modules one of SCR modules two, in order to avoid NH under high temperature3It is aoxidized For NO, SCR modules two will control the temperature of corresponding chemical reaction.
By the information input fuzzy control model of NO input quantities, fuzzy control model is by the NH of acquisition3Output quantity -1, NH3It is defeated The information of output -2, NO output quantities -1 and NO input quantities is calculated by the third step fuzzy control method, is imitated Genuine result.
Such as Fig. 5, Fig. 6 and simulation result shown in Fig. 7.As shown in figure 5, ammonia spraying amount and NO output quantities are almost the same, explanation The ammonia spraying amount of fuzzy control model output is mainly determined that input NO increases, then the ammonia spraying amount exported increases by the NO input quantities inputted Add.As shown in fig. 6, the variation of NO output quantities -1 and NO input quantities is almost the same, when the increase of NO input quantities, the difficulty of NO is eliminated Corresponding to increase, NO output quantities -1 are consequently increased.As shown in fig. 7, NH3Output quantity -1 and NH3Output quantity -2 changes base with ammonia spraying amount This is consistent, works as NH3Output quantity -1, NH3When output quantity -2 increases, then the ammonia spraying amount exported should be reduced suitably.
In conclusion the present invention is used to provide a kind of fuzzy control method of series connection selective catalytic reduction system operating, the party Method no longer uses original PID control, but uses fuzzy control, and single SCR system of script is changed to series connection SCR system, energy The enough spray of control well NH3Amount, avoids secondary pollution caused by NH_3 leakage, and can be good at realizing NOXHigh conversion effect Rate.
Although present disclosure is discussed in detail by above preferred embodiment, but it should be appreciated that above-mentioned Description is not considered as limitation of the present invention.After those skilled in the art have read the above, for the present invention's A variety of modifications and substitutions all will be apparent.Therefore, protection scope of the present invention should be limited to the appended claims.

Claims (10)

1. a kind of fuzzy control method of series connection selective catalytic reduction system operating, which is characterized in that this method includes：
The first step indicates selective catalytic reduction with state equation, builds according to the chemical equation of selective catalytic reduction Vertical mathematical model；
Second step, the mathematical model established using the first step, Controlling model, the Controlling model packet are established using Simulink Contain：Fuzzy control model and series connection SCR fuzzy controllers, the fuzzy control model and series connection SCR fuzzy controllers are all provided with There is NH3With outputting and inputting for NO；
Third walks, according to the NH of fuzzy control model3With the membership function output and input and NH of NO3With the input of NO With the domain of output, membership function figure is obtained, fuzzy control method is established, is used for the spray of control selections catalyst reduction system Ammonia amount；
The fuzzy control method that third step is established is set in fuzzy control model, runs the Controlling model by the 4th step, Obtain simulation result.
2. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 1, which is characterized in that first The chemical equation of selective catalytic reduction described in step includes：
Ammonia adsorption catalyst reacts：
Ammonolysis adsorption reaction：
Gas phase nitrogen oxides reduces reaction：
Ammonia is oxidized to the reaction of NO at high temperature：
3. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 2, which is characterized in that first State equation described in step is as follows：
In formula (5) and formula (6), CNOIndicate the concentration of the NO of series connection SCR fuzzy controllers output, CNH3Indicate series connection SCR Fuzzy Controls The NH of device output processed3Concentration, U indicate input NH3Concentration, d indicates that the concentration of input NO, Y indicate output NO after the completion of reaction Concentration, ΘSCIndicate that the total storage capacity of ammonia, θ indicate that surface coverage, F indicate flow, VcatIndicate the volume of SCR consersion units, RjIndicate that the reactivity of reaction j, j represent ads, des, red or ox, ads indicates that the reaction of ammonia adsorption catalyst, des indicate ammonolysis Adsorption reaction, red indicate that gas phase nitrogen oxides reduces reaction, and ox indicates that ammonia is oxidized to the reaction of NO at high temperature；
Wherein,
In formula (7), kjIndicate the pre-exponential factor of reaction j, EjIndicate that reaction j needs the energy consumed, R to indicate that argoshield is normal Number, T indicate reaction temperature.
4. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 1, which is characterized in that described Series connection SCR fuzzy controllers include：SCR modules one, SCR modules two；
The SCR modules one can be used to be monitored and controlled the elimination of NO, and the SCR modules two can be used to that NH to be monitored and controlled3 Elimination.
5. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 4, which is characterized in that described The input of fuzzy control model include：The NO input quantities of input, the NH of input3Output quantity -1, the NH inputted3Output quantity -2 and The NO output quantities -1 of input；
The NH3Output quantity -1 indicates the NH after gas phase nitrogen oxides reduces reaction of one monitoring of SCR modules3Output quantity；
The NH3Output quantity -2 indicates that passing through for two monitoring of SCR modules eliminates NH3NH afterwards3Output quantity；
The NO output quantities -1 indicate the NO output quantities after gas phase nitrogen oxides reduces reaction of one monitoring of SCR modules；
The output of the fuzzy control model includes：The ammonia spraying amount of output.
6. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 5, which is characterized in that described The membership function output and input of fuzzy control model be all made of Triangleshape grade of membership function.
7. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 6, which is characterized in that described The input of fuzzy control model select 3 membership functions.
8. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 6, which is characterized in that described Fuzzy control model output select 8 membership functions.
9. the fuzzy control method of the series connection selective catalytic reduction system operating according to any one of claim 5~8, It is characterized in that, the determination method for the domain of the fuzzy control model output and input is as follows：
First, the data and curves of the NO input quantities inputted by fuzzy control model determine the domain of NO input quantities；
Secondly, the domain of ammonia spraying amount is determined by the domain of NO input quantities；
Finally, the NH inputted by the ranging ambiguity control module of NO input quantities3The opinion of output quantity -1 and NO output quantities -1 The maximum value in domain obtains NH3The range of the domain of output quantity -1 and NO output quantities -1 is arranged several by the domain of ammonia spraying amount NH3The domain of output quantity -2, by the NH3The domain of output quantity -2 is set in fuzzy control model, and is run, and is obtained Simulation result is compared to obtain NH3The optimal domain of output quantity -2.
10. the fuzzy control method of series connection selective catalytic reduction system operating according to claim 9, which is characterized in that institute The Controlling model operation method stated is as follows：
The fuzzy control model exports ammonia spraying amount, and ammonia spraying amount information is passed to the SCR modules one, SCR modules one Export NH3The information of output quantity -1 passes to the SCR modules two, and feeds this information to fuzzy control model, SCR moulds Block two exports NH3The information of output quantity -2, and the information is fed back into fuzzy control model, the fuzzy control model obtains NH3Output quantity -1 and NH3The information of output quantity -2；
By the SCR modules one described in the information input of NO input quantities, temperature T and flow F, SCR modules one export NO output quantities -1 Information, the SCR modules two are passed it to, while the information is fed back into fuzzy control model, by temperature T- The information input SCR modules two of 20K and flow F, SCR modules two export the information of NO output quantities -2, the Fuzzy Control molding Block obtains the information of NO output quantities -1；
By the fuzzy control model described in the information input of NO input quantities, fuzzy control model is by the NH of acquisition3Output quantity -1, NH3 The information of output quantity -2, NO output quantities -1 and NO input quantities is calculated by the third step fuzzy control method, is obtained Simulation result.
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