CN108803327A - Boiler draft regulating system based on Adaptive Fuzzy Control and control method - Google Patents
Boiler draft regulating system based on Adaptive Fuzzy Control and control method Download PDFInfo
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- CN108803327A CN108803327A CN201810592272.3A CN201810592272A CN108803327A CN 108803327 A CN108803327 A CN 108803327A CN 201810592272 A CN201810592272 A CN 201810592272A CN 108803327 A CN108803327 A CN 108803327A
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- 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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Abstract
The boiler draft regulating system based on Adaptive Fuzzy Control that the invention discloses a kind of, including PID controller and executing agency, the PID controller includes Adaptive Fuzzy Control unit, the Adaptive Fuzzy Control unit is blurred input quantity error e and error rate ec according to fuzzy rule, calculates proportionality coefficient, integral coefficient, differential coefficient, the PID controller controls executing agency according to obtained parameter, adjusted in real time to boiler furnace pressure.With adaptive Fuzzy PID, makes controlled device that there is good static and dynamic performance, reduce the operating frequency of boiler draft regulating mechanism, extend the service life of equipment.
Description
Technical field
The invention belongs to thermal power plant control technology field, more particularly to it is a kind of based on Adaptive Fuzzy Control just
Press direct-firing pulverized-coal fired boiler air inducing regulating system and control method.
Background technology
Fired power generating unit furnace pressure and combustion stability in stove are closely bound up, for the direct-firing pulverized-coal fired boiler of positive pressure, especially
It is various failures (such as local fire extinguishment, local detonation, the system that when using high volatile and being easy slagging or burner hearth inside occurs
Powder system catches fire, second-time burning etc. occurs for back-end ductwork), since furnace pressure has the characteristics that be quick on the draw, will occur substantially
It shakes, 1025t/h controlled circulating boiler furnace pressure MFT setting values are：- 2490pa to+3240pa, furnace pressure it is unstable
It will influence unit safety operation.Combustion chamber draft it is too low, have a large amount of cold airs and leak into from burner hearth imprecision, i.e., increased pot
Stove flue gas loss, and increase air-introduced machine power consumption；When burner hearth operation under positive pressure, flue gas can be caused to be leaked out from burner hearth imprecision, i.e., can
Boiler ambient enviroment is polluted, and increases heat loss.
Boiler furnace pressure is by air-introduced machine adjusting control, and system application air output is as feed-forward signal, when air output changes
When change, air-introduced machine movable vane can make a response rapidly, and furnace pressure dynamic deviation is made to become smaller, using furnace pressure as feedback signal,
Correction adjusting through feedback regulator makes furnace pressure control in setting value.Since real process object is there are many interference,
Controlled device itself there are hysteresis quality, it is advanced and non-linear the problems such as, traditional PID control can no longer meet industrial requirements,
Therefore, there is an urgent need to a kind of new follow-on control technology, automatically controlling for boiler draft regulating system is solved the problems, such as.
Invention content
It is in view of the deficiencies in the prior art and insufficient, being based on adaptive fuzzy the purpose of the present invention is to propose to a kind of
The boiler draft regulating system and control method of control.With adaptive Fuzzy PID, controlled device is set to have good
Static and dynamic performance, reduce the operating frequency of boiler draft regulating mechanism, extend the service life of equipment.
The technical scheme is that：
A kind of boiler draft regulating system based on Adaptive Fuzzy Control, including PID controller and executing agency, it is described
PID controller includes Adaptive Fuzzy Control unit, and the Adaptive Fuzzy Control unit is to input quantity error e and error change
Rate ec is blurred according to fuzzy rule, calculates Proportional coefficient KP, integral coefficient KI, differential coefficient KD, the PID controller
Executing agency is controlled according to obtained parameter, boiler furnace pressure is adjusted in real time.
In preferred technical solution, the Adaptive Fuzzy Control unit includes preset fuzzy subset, fuzzy domain, is subordinate to
Membership fuction and fuzzy rule.
The control method for the boiler draft regulating system based on Adaptive Fuzzy Control that the invention also discloses a kind of, including
Following steps：
S01：Input quantity error e and error rate ec are blurred according to fuzzy rule, calculate Proportional coefficient KP、
Integral coefficient KI, differential coefficient KD；
S02：Executing agency is controlled according to obtained parameter, boiler furnace pressure is adjusted in real time.
In preferred technical solution, further include before the step S01：
Default fuzzy subset, the fuzzy domain on fuzzy subset is defined as by error e and error rate ec variation ranges；
Proportionality coefficient increment Delta K is established respectivelyP, integral coefficient increment Delta KI, differential coefficient increment Delta KDFuzzy reasoning table
And membership function.
In preferred technical solution, the step S01 includes the error e and error rate ec and Δ KP、ΔKIAnd
ΔKDIt obeys and is just distributed very much, obtain the degree of membership of each fuzzy subset, the fuzzy square of pid parameter is designed using fuzzy synthetic reason
Battle array table calculates Proportional coefficient K according to following formulaP, integral coefficient KI, differential coefficient KD：
KP=K 'P+{ei,eci}P=K 'P+ΔKP；
KI=K 'I+{ei,eci}I=K 'I+ΔKI；
KD=K 'D+{ei,eci}D=K 'D+ΔKD。
In formula, K 'P, K 'I, K 'DIt is KP, KI, KDInitial parameter, obtained by conventional method.{ei,eci}P, { ei,eci
}I, { ei,eci}DIt is value added on products.
Compared with prior art, it is an advantage of the invention that：
1, response speed is improved relative to traditional PID approach for the control of boiler furnace pressure, overshoot is small.
2, adaptive faculty is strong, and robustness is good, and the static and dynamic characteristics of system are preferable.
3, the operating frequency for reducing boiler draft regulating mechanism extends the service life of equipment.
Description of the drawings
The invention will be further described with reference to the accompanying drawings and embodiments：
Fig. 1 is that the present invention is based on the schematic diagrams of the boiler draft regulating system of Adaptive Fuzzy Control；
Fig. 2 is control method flow chart of the present invention.
Specific implementation mode
In order to make the objectives, technical solutions and advantages of the present invention clearer, With reference to embodiment and join
According to attached drawing, the present invention is described in more detail.It should be understood that these descriptions are merely illustrative, and it is not intended to limit this hair
Bright range.In addition, in the following description, descriptions of well-known structures and technologies are omitted, to avoid this is unnecessarily obscured
The concept of invention.
As shown in Figure 1, a kind of direct-firing pulverized-coal fired boiler air inducing regulating system of positive pressure based on adaptive Fuzzy PID Control,
With furnace pressure 1 for controlled device structure, including regulating mechanism, that is, executing agency 2 of air inducing regulating system, adaptive fuzzy control
Unit 4 processed, PID controller 8.
Air output 3 be used as feed-forward signal, controlled device due to after boiler furnace pressure change pressure signal feed back to it is defeated
Enter end, Proportional coefficient K is solved by Adaptive Fuzzy Control unit 4P, integral coefficient KI, differential coefficient KD.Adaptive mode
The new Proportional coefficient K that paste control unit 4 is acquired by Fuzzy processing 5, fuzzy reasoning 6 and anti fuzzy method 7P, integral
COEFFICIENT KI, differential coefficient KD.It is exported to executing agency 2 by PID controller 8, to realize another suboptimization to combustion chamber draft.
By the feedback to furnace pressure compared with the numerical value of setting value, then use Adaptive Fuzzy Control algorithm to defeated
The deviation e and deviation ratio ec entered carries out Fuzzy rule evaluation, to obtaining three output parameters, proportionality coefficient increment Delta KP、
Integral coefficient increment Delta KI, differential coefficient increment Delta KD, calculate Proportional coefficient KP, integral coefficient KI, differential coefficient KD, then
PID controller controls executing agency according to these coefficients, to realize the real-time adjusting to boiler furnace pressure.
The control of PID is as follows：
Wherein e (t) is error function.
The control method of Adaptive Fuzzy Control unit is as shown in Fig. 2, include：
According to requiring and operating experience setting fuzzy subset, fuzzy domain, membership function and fuzzy rule.
Fuzzy subset is that { NB (negative big), NM (in negative), NS (negative small), ZO (zero), PS (just small), PM (center), PB is (just
Greatly) }, systematic error e and error rate ec variation ranges are defined as the fuzzy domain on fuzzy subset, for -3, -2, -1,
0,1,2,3}；ΔKP、ΔKIAnd Δ KDDomain be { -0.3, -0.2, -0.1,0,0.1,0.2,0.3 }.It is passed through according to practical operation
It tests, establishes fuzzy reasoning table.
ΔKPFuzzy reasoning table it is as follows：
ΔKIFuzzy reasoning table is as follows：
ΔKDFuzzy reasoning table it is as follows：
Input quantity error e and error rate ec are blurred, fuzzy reasoning is carried out using fuzzy rule, inquires mould
It pastes matrix table and carries out parameter adjustment.
In e, ec and Δ KP、ΔKIAnd Δ KDIt obeys in the case of being just distributed very much, can obtain being subordinate to for each fuzzy subset
Degree designs the fuzzy matrix table of pid parameter using fuzzy synthetic reason, finds corrected parameter and substitutes into following formula calculating：
KP=K 'P+{ei,eci}P=K 'P+ΔKP；
KI=K 'I+{ei,eci}I=K 'I+ΔKI；
KD=K 'D+{ei,eci}D=K 'D+ΔKD。
In formula, K 'P, K 'I, K 'DIt is KP, KI, KDInitial parameter, obtained by conventional method.{ei,eci}P, { ei,eci
}I, { ei,eci}DIt is value added on products.
Control system by result treatment to fuzzy logic ordination, table look-up and operation, complete the online school to pid parameter
Just.
It should be understood that the above-mentioned specific implementation mode of the present invention is used only for exemplary illustration or explains the present invention's
Principle, but not to limit the present invention.Therefore, that is done without departing from the spirit and scope of the present invention is any
Modification, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.In addition, appended claims purport of the present invention
Covering the whole variations fallen into attached claim scope and boundary or this range and the equivalent form on boundary and is repairing
Change example.
Claims (5)
1. a kind of boiler draft regulating system based on Adaptive Fuzzy Control, including PID controller and executing agency, feature
It is, the PID controller includes Adaptive Fuzzy Control unit, and the Adaptive Fuzzy Control unit is to input quantity error e
It is blurred according to fuzzy rule with error rate ec, updates Proportional coefficient KP, integral coefficient KI, differential coefficient KD, described
PID controller controls executing agency according to obtained parameter, is adjusted in real time to boiler furnace pressure.
2. the boiler draft regulating system according to claim 1 based on Adaptive Fuzzy Control, which is characterized in that described
Adaptive Fuzzy Control unit includes preset fuzzy subset, fuzzy domain, membership function and fuzzy rule.
3. a kind of control method of the boiler draft regulating system based on Adaptive Fuzzy Control, which is characterized in that including following
Step：
S01：Input quantity error e and error rate ec are blurred according to fuzzy rule, update Proportional coefficient KP, integral
COEFFICIENT KI, differential coefficient KD；
S02：Executing agency is controlled according to obtained parameter, boiler furnace pressure is adjusted in real time.
4. the control method of the boiler draft regulating system according to claim 3 based on Adaptive Fuzzy Control, special
Sign is, further includes before the step S01：
Default fuzzy subset, the fuzzy domain on fuzzy subset is defined as by error e and error rate ec variation ranges；
Proportionality coefficient increment Delta K is established respectivelyP, integral coefficient increment Delta KI, differential coefficient increment Delta KDFuzzy reasoning table and person in servitude
Membership fuction.
5. the control method of the boiler draft regulating system according to claim 3 based on Adaptive Fuzzy Control, special
Sign is that the step S01 includes the error e and error rate ec and Δ KP、ΔKIAnd Δ KDIt obeys and is just distributed very much,
The degree of membership for obtaining each fuzzy subset designs the fuzzy matrix table of pid parameter using fuzzy synthetic reason, according to following formula meter
Calculate Proportional coefficient KP, integral coefficient KI, differential coefficient KD：
KP=K 'P+{ei,eci}P=K 'P+ΔKP；
KI=K 'I+{ei,eci}I=K 'I+ΔKI；
KD=K 'D+{ei,eci}D=K 'D+ΔKD。
In formula, K 'P、K′I、K′DIt is K respectivelyP、KI、KDInitial parameter.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111714975A (en) * | 2020-06-10 | 2020-09-29 | 浙江工业大学 | Plate type air inlet purifier, air inlet system and method of vehicle-mounted fuel cell |
| CN113110657A (en) * | 2021-04-22 | 2021-07-13 | 上海呈彧智能科技有限公司 | Method, system and medium for controlling hearth pressure and exhaust gas temperature of heating furnace |
| CN113110034A (en) * | 2021-05-10 | 2021-07-13 | 常州市新港热电有限公司 | DCS-based fuzzy PID control system for induced draft fan |
| CN114135898A (en) * | 2021-09-30 | 2022-03-04 | 华电电力科学研究院有限公司 | Oxygen amount optimization control method for coal-fired power plant boiler |
| CN118066564A (en) * | 2024-04-19 | 2024-05-24 | 南京金炼科技有限公司 | Multivariable control system for low-oxygen combustion of heating furnace |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111714975A (en) * | 2020-06-10 | 2020-09-29 | 浙江工业大学 | Plate type air inlet purifier, air inlet system and method of vehicle-mounted fuel cell |
| CN111714975B (en) * | 2020-06-10 | 2021-11-23 | 浙江工业大学 | Plate type air inlet purifier, air inlet system and method of vehicle-mounted fuel cell |
| CN113110657A (en) * | 2021-04-22 | 2021-07-13 | 上海呈彧智能科技有限公司 | Method, system and medium for controlling hearth pressure and exhaust gas temperature of heating furnace |
| CN113110034A (en) * | 2021-05-10 | 2021-07-13 | 常州市新港热电有限公司 | DCS-based fuzzy PID control system for induced draft fan |
| CN114135898A (en) * | 2021-09-30 | 2022-03-04 | 华电电力科学研究院有限公司 | Oxygen amount optimization control method for coal-fired power plant boiler |
| CN114135898B (en) * | 2021-09-30 | 2023-06-27 | 华电电力科学研究院有限公司 | Oxygen amount optimization control method for coal-fired power plant boiler |
| CN118066564A (en) * | 2024-04-19 | 2024-05-24 | 南京金炼科技有限公司 | Multivariable control system for low-oxygen combustion of heating furnace |
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