CN109612055A - A kind of feedforward fuzzy control method of air-conditioner water system - Google Patents
A kind of feedforward fuzzy control method of air-conditioner water system Download PDFInfo
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- CN109612055A CN109612055A CN201811535671.2A CN201811535671A CN109612055A CN 109612055 A CN109612055 A CN 109612055A CN 201811535671 A CN201811535671 A CN 201811535671A CN 109612055 A CN109612055 A CN 109612055A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/89—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
- F24F11/63—Electronic processing
- F24F11/64—Electronic processing using pre-stored data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F30/20—Design optimisation, verification or simulation
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Abstract
The invention discloses a kind of feedforward fuzzy control method of air-conditioner water system, steps (1), the load simulation model for establishing building；Acquired weather forecast data are inputted load simulation model by step (2), simulate future time section by when input load Qt；Step (3), assumed load setting value Qs；Step (4), calculated load future time section by when input load QtWith load setting value QsDifference e and difference to the change rate ec of time；Step (5) obtains fuzzy control output valve u, and exports to actuator；In step (6), future time section, actuator, which executes, is based on load QtThe air-conditioning system operating parameter of decision, to guarantee that air-conditioning semen donors and room institute chilling requirement match.Compared with prior art, the present invention is as being theoretically different from the current commonly used feedback based on the system temperature difference or pressure difference, and maximum energy saving of system effect is obtained, is of great significance for improving architecture indoor thermal comfort, reducing air conditioning system operation energy consumption.
Description
Technical field
The present invention relates to central air-conditioning control technology field, in particular to a kind of control method of air-conditioner water system.
Background technique
Air-conditioning system is that a control target has large dead time, time-varying, the system of non-linear behavior.It is directed to air-conditioning at present
System generallys use traditional PID/feedback control model, as a kind of negative feedback control mode, according to object parameters deviation
Ratio, integral and the micro component of signal are controlled: calculating control according to the deviation proportion of utilization of system, integral, difference gauge
Image parameter.Generally it is only applicable to the controlled device or process of no time lag.Because without time lag, deviation is once generate can be with
It is instantly available correction.Obviously, such control technology can not solve the problems, such as that system encounters big time lag；Thus, to center
The control of air-conditioning system either stability or response speed are all difficult to meet the actual demand of control, can not achieve air-conditioning
The Dynamic Matching of load and building load.
With the continuous promotion of Chinese large-sized public building functionalization in recent years, for air-conditioning system regulation also increasingly
It attracts attention, as China increases in " green building assessment standard " (the GBT 50378-2014) that new revision in 2014 is promulgated
The clause of " formulating and implementing the control strategy for adjusting according to load variations and formulating refrigeration (heat) amount " requires.Therefore, to sky
Adjusting system implements effectively energy-saving run management and guarantees architecture indoor thermally comfortable environment simultaneously, it is necessary to negative to building actual motion
Lotus makes load prediction, and carries out feedforward regulation to air-conditioning system according to the load predicted.
Summary of the invention
In order to overcome drawbacks described above of the existing technology and deficiency, the invention proposes a kind of feedforwards of air-conditioner water system
Fuzzy control method, realize the Dynamic Matching of air conditioner load and building load under the conditions of meeting indoor thermal comfort.
A kind of air-conditioner water system feedforward fuzzy control method of the invention, the specific implementation steps are as follows for this method:
Step 1 establishes load simulation model based on building load simulation softward；
Acquired weather forecast data are inputted load simulation model by step 2, simulate future time section by when it is defeated
Enter load Qt；
Step 3, assumed load setting value Qs, expression formula is as follows:
Qs=0.5 × Qmax
Wherein, QmaxThe outdoor dry-bulb temperature and building in month are run using typical meteorological year air-conditioning system for meteorologic parameter
Desired temperature is the maximum value of the obtained building load of simulant building load under conditions of T DEG C in model room；
Step 4, calculated load future time section by when input load QtWith load setting value QsDifference e and difference
To the change rate ec of time, expression formula is as follows:
E=Qt-Qs
Step 5 carries out deviation e and deviation variation rate ec transformation of scale, i.e. difference deviation e and deviation variation rate ec difference
Multiplied by proportionality coefficient ke、kecTransformation of scale is carried out, the domain of deviation E, deviation variation rate EC, deviation E and change of error are mapped to
Rate EC is obtained by fuzzy control rule with output fuzzy control quantity U, U gravity model appoach ambiguity solution and multiplied by proportionality coefficient kuCompared
Example transformation obtains fuzzy control output valve u, and exports to actuator；
In step 6, future time section, actuator, which executes, is based on load QtThe air-conditioning system operating parameter of decision, to guarantee
Air-conditioning semen donors match with room institute chilling requirement.
Compared with prior art, the present invention is commonly used based on the system temperature difference or pressure at present as being theoretically different from
The feedback of difference, and maximum energy saving of system effect is obtained, for improving architecture indoor thermal comfort, reducing
Air conditioning system operation energy consumption is of great significance.
Detailed description of the invention
Fig. 1 is a kind of air-conditioner water system feedforward fuzzy control method flow chart of the present invention；
Fig. 2 is fuzzy control principle block diagram of the present invention.
Specific embodiment
It is described in further detail to embodiment of the present invention with reference to the accompanying drawing:
As shown in Figure 1, a kind of air-conditioner water system feedforward fuzzy control method of the invention mainly includes the following steps:
Step 1 establishes load simulation model based on building load simulation softward, which uses building load simulation softward
Establish building geometrical model, and building enclosure thermal parameter (heat transfer coefficient of exterior wall, roofing and exterior window etc.) is set, interior is set
Count parameter (indoor design temperature Tn, indoor design relative humidity φ n), (personnel, illumination and other equipment dissipate the interior amount of disturbing parameter
Heat), meteorologic parameter data to be simulated then are inputted, establish building load simulation model with building load simulation softward；
Step 2 obtains outdoor dry-bulb temperature N × 24 hour weather forecast data, inputs load simulation model, then simulates
Out feedforward control module future time section by when input load Qt；
Step 3, using load simulation model, use the outdoor in typical meteorological year air-conditioning system operation month in meteorologic parameter
Dry-bulb temperature and buildings model room temperature setting value are simulant building load under conditions of T DEG C, obtain the minimum of building load
Value is 0kW, and the maximum value of building load is Qmax, choose 0.5 × QmaxIt is defined as load setting value Qs；
Step 4 calculates input load QtWith load setting value QsDifference deviation e=Qt-Qs, calculating difference deviation e clock synchronization
Between t deviation variation rate
Step 5 carries out fuzzy control reasoning operation using fuzzy controller, specifically includes following processing:
First determine transformation of scale ke、kec、kuValue, in which: (1) determine keValue: the minimum value of load be 0kW, most
Big value is Qmax, choose median QsFor load setting value, therefore the domain of difference deviation e is [- Qs,Qs], by difference deviation e's
Domain, which is transformed on the domain [- 6,6] of E, to be needed multiplied by coefficient ke, then ke=6 ÷ Qs；(2) k is determinedecValue: according to simulation tie
Fruit load changing rate minimum value is-n, maximum value n, therefore the domain of difference deviation variation rate ec is [- n, n], and difference is inclined
The domain of poor change rate ec, which is transformed on the domain [- 6,6] of deviation variation rate EC, to be needed multiplied by coefficient kec, then kec=6 ÷ n；
(3) k is determineduValue: since the domain of fuzzy control output valve u and fuzzy control quantity U are [0,1], therefore kuValue take 1；
The difference deviation e and deviation variation rate ec of input are respectively multiplied by ke、kecCarry out the opinion that transformation of scale is mapped to E, EC
Domain, deviation E and deviation variation rate EC can be obtained and output fuzzy control quantity U, U gravity model appoach ambiguity solution by fuzzy control rule
And multiplied by kuIt carries out transformation of scale and obtains fuzzy control output valve u, fuzzy control output valve u is between zero and one；Fuzzy control is defeated
Value u is exported to simulation executing out；
Step 6 realizes control using operating status of the simulation executing to controlled device (water pump and heat pump), is followed
Control strategy are as follows: when the value of u is 0, water pump general power is zero, i.e., all water pumps and water cooler are turned off；When the value of u is 1
When, water pump general power is maximum, i.e., all water pumps and the equal oepration at full load of water cooler i.e. completely frequency operation；When water pump controls signal
When between zero and one, pump variable frequency operation, the running frequency of water pump, the start-stop time ratio of water cooler and control signal are at just
Than.
As shown in Fig. 2, being fuzzy control principle block diagram of the invention.
According to control empirical theory, deviation E, deviation variation rate EC and fuzzy control quantity U take 7 fuzzy subsets: NB,
NM, NS, ZO, PS, PM, PB }, Linguistic Value respectively represents: { negative big, to bear, bear small, zero, just small, center is honest }.E's and EC
Domain is { -6, -5, -4, -3, -2, -1,0,1,2,3,4,5,6 }, and the domain of u is [0,1].
Claims (3)
1. a kind of feedforward fuzzy control method of air-conditioner water system, which is characterized in that method includes the following steps:
Step (1) establishes load simulation model based on building load simulation softward；
Acquired weather forecast data are inputted load simulation model by step (2), simulate future time section by when input
Load Qt；
Step (3), assumed load setting value Qs, expression formula is as follows:
Qs=0.5 × Qmax
Wherein, QmaxThe outdoor dry-bulb temperature and buildings model in month are run using typical meteorological year air-conditioning system for meteorologic parameter
Room temperature setting value is the maximum value of the obtained building load of simulant building load under conditions of T DEG C；
Step (4), calculated load future time section by when input load QtWith load setting value QsDifference e and difference pair
The change rate ec of time, expression formula are as follows:
E=Qt-Qs
Deviation e and deviation variation rate ec is carried out transformation of scale by step (5), i.e. difference deviation e and deviation variation rate ec multiply respectively
With proportionality coefficient ke、kecTransformation of scale is carried out, the domain of deviation E, deviation variation rate EC, deviation E and deviation variation rate are mapped to
EC obtains by fuzzy control rule and exports fuzzy control quantity U, U gravity model appoach ambiguity solution and multiplied by proportionality coefficient kuCarry out ratio
Transformation obtains fuzzy control output valve u, and exports to actuator；
In step (6), future time section, actuator, which executes, is based on load QtThe air-conditioning system operating parameter of decision, to guarantee air-conditioning
Semen donors match with room institute chilling requirement.
2. a kind of feedforward fuzzy control method of air-conditioner water system as described in claim 1, which is characterized in that the ratio system
Number ke、kecAnd kuIt determines according to the following formula respectively:
ke=6 ÷ Qs
kec=6 ÷ n
ku=1
Wherein, n is the domain vector of difference deviation variation rate ec.
3. a kind of feedforward fuzzy control method of air-conditioner water system as described in claim 1, which is characterized in that the guarantee is empty
Semen donors are adjusted to specifically include with the policy enforcement procedure that room institute chilling requirement matches:
Control, the control strategy followed are realized using operating status of the simulation executing to controlled device (water pump and heat pump)
Are as follows: when the value of u is 0, water pump general power is zero, i.e., all water pumps and water cooler are turned off；When the value of u is 1, water pump is total
Power is maximum, i.e., all water pumps and the equal oepration at full load of water cooler i.e. completely frequency operation；When water pump control signal 0 and 1 it
Between when, pump variable frequency operation, the running frequency of water pump, the start-stop time ratio of water cooler are directly proportional with control signal.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110160230A (en) * | 2019-05-27 | 2019-08-23 | 广东美的暖通设备有限公司 | Central air-conditioning, air-conditioner water system and its control method and control device |
| CN111076345A (en) * | 2019-12-11 | 2020-04-28 | 珠海格力电器股份有限公司 | Prediction device and method of central air-conditioning system and terminal equipment |
| CN112180731A (en) * | 2020-10-13 | 2021-01-05 | 天津大学 | Energy equipment operation control method and system |
| CN114459132A (en) * | 2022-01-05 | 2022-05-10 | 洛阳市轨道交通集团有限责任公司 | Method and system for controlling subway large-system air conditioner adjustment in grading mode based on departure logarithm |
| CN114623563A (en) * | 2022-02-16 | 2022-06-14 | 珠海格力电器股份有限公司 | Control method and device of air conditioner, air conditioner and storage medium |
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| CN110160230A (en) * | 2019-05-27 | 2019-08-23 | 广东美的暖通设备有限公司 | Central air-conditioning, air-conditioner water system and its control method and control device |
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| CN111076345A (en) * | 2019-12-11 | 2020-04-28 | 珠海格力电器股份有限公司 | Prediction device and method of central air-conditioning system and terminal equipment |
| CN111076345B (en) * | 2019-12-11 | 2021-03-30 | 珠海格力电器股份有限公司 | Prediction device and method of central air-conditioning system and terminal equipment |
| CN112180731A (en) * | 2020-10-13 | 2021-01-05 | 天津大学 | Energy equipment operation control method and system |
| CN112180731B (en) * | 2020-10-13 | 2024-05-31 | 天津大学 | Energy equipment operation control method and system |
| CN114459132A (en) * | 2022-01-05 | 2022-05-10 | 洛阳市轨道交通集团有限责任公司 | Method and system for controlling subway large-system air conditioner adjustment in grading mode based on departure logarithm |
| CN114459132B (en) * | 2022-01-05 | 2024-04-12 | 洛阳市轨道交通集团有限责任公司 | Method and system for controlling air conditioner of large subway system by step adjustment based on departure logarithm |
| CN114623563A (en) * | 2022-02-16 | 2022-06-14 | 珠海格力电器股份有限公司 | Control method and device of air conditioner, air conditioner and storage medium |
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