CN109237864A - A kind of fuzzy control method for refrigeration station group control system - Google Patents
A kind of fuzzy control method for refrigeration station group control system Download PDFInfo
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- CN109237864A CN109237864A CN201811114732.8A CN201811114732A CN109237864A CN 109237864 A CN109237864 A CN 109237864A CN 201811114732 A CN201811114732 A CN 201811114732A CN 109237864 A CN109237864 A CN 109237864A
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- water temperature
- refrigeration station
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000005057 refrigeration Methods 0.000 title claims abstract description 22
- 230000008569 process Effects 0.000 claims abstract description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 40
- 230000008859 change Effects 0.000 claims description 16
- 230000007423 decrease Effects 0.000 claims description 6
- 238000010438 heat treatment Methods 0.000 claims description 5
- 230000003247 decreasing effect Effects 0.000 claims description 3
- 230000000630 rising effect Effects 0.000 claims 1
- 230000004044 response Effects 0.000 abstract description 4
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
- F25D29/005—Mounting of control devices
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Physics & Mathematics (AREA)
- Mechanical Engineering (AREA)
- Thermal Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Air Conditioning Control Device (AREA)
Abstract
The invention discloses a kind of fuzzy control methods for refrigeration station group control system, including S1 to start, and the value of S2 acquisition process influence factor simultaneously calculates variation tendency, S3 carries out Fuzzy processing to data obtained in step S2, S4 trade-off decision scheme in experts database, S5 are executed, and S6 terminates.Pass through the value of acquisition process influence factor and calculates variation tendency, the following discreet value for the weather that influence system is run is acquired especially by weather forecast interface, after carrying out Fuzzy processing to collected data, retrieval selects corresponding decision scheme in experts database, to realize the controls in advance to system；Due to introducing the variation tendency in influence factor future in decision link, interfere so as to shift to an earlier date a few hours to system, substantially increases response speed and stability that refrigeration station class has the very system of large time delay.
Description
Technical field
The present invention relates to a kind of fuzzy control method, specifically a kind of fuzzy controls for refrigeration station group control system
Method.
Background technique
Refrigeration station is the system with very large time delay, and general robot control system(RCS) shows as water temperature as controlling for water temperature
Higher than the operation that set point reduces by a refrigerator, water temperature is increased by the operation of a refrigerator lower than set point, of this sort
"Yes" or "No" Digital Control, can not accomplish experiential controls in advance；It is produced thus based on expert experience base
Fuzzy control theory, fuzzy control is a kind of control algolithm to grow up on the basis of the fuzzy set theory of Zha De, show
Writing advantage is exactly to have bypassed the mathematical model of control object, according to the knowledge and operating experience of expert, passes through fuzzy operation and mould
Implementation of inference is pasted to the intelligent control of object, this largely compensates for the limitation of traditional control algorithm.Fuzzy control
Core be the control rule to describe in words, usually with if ... if ... the mode of (IF...THEN...) expresses reality
The knowledge and experience of expert in control.Therefore, just seem very simple for the description of switch valve control system, if will have through
The operating experience of the expert tested is concluded to form solution bank, then finds correspondence from solution bank according to the variation of system operational parameters
Strategy realize the control to system.The Variable Factors that the solution bank of existing fuzzy control considers are all based on currently
The information of internal system operating parameter only considers the currently running water temperature of refrigeration station and this moment it such as in the control of refrigeration station
For the previous period in operation water temperature change rate, search corresponding decision scheme accordingly, the system that places one's entire reliance upon current time it
Operation data for the previous period passively adjusts control, can not accomplish controls in advance, and because of refrigeration station with very big stagnant
Property afterwards, so it is not sensitive enough to frequently can lead to refrigeration station response, it is difficult to meet the needs of production and living.
Summary of the invention
The technical problems to be solved by the present invention are: how to carry out controls in advance to system, the response speed of refrigeration station is improved
Degree.
In order to solve the above technical problems, the technical scheme adopted by the invention is that, it is a kind of for refrigeration station group control system
Fuzzy control method, comprising:
S1 starts
The value of S2 acquisition process influence factor simultaneously calculates variation tendency
S3 carries out Fuzzy processing to data obtained in step S2
S4 trade-off decision scheme in experts database
S5 is executed
S6 terminates
Influence factor value is acquired in the step S2, and refrigeration station water temperature is acquired by water temperature sensor, is sensed by outdoor temperature
Device acquires outside air temperature, acquires outside humidity by outside humidity sensor, is calculated according to the water temperature data in some cycles
Water temperature change rate calculates outdoor wet-bulb temperature according to outside air temperature and outside humidity, following pre- by the acquisition of weather forecast interface
Estimate temperature.
The S3 to obtained in step S2 water temperature, water temperature change rate, temperature, the following temperature data carry out at blurring
Reason, specifically
1, water temperature is obscured and turns to 5 grades of water temperature [PB is very high, PS high, Z is suitable, NS is low, NB is very low]；
2, it turns to water temperature change rate is fuzzy water temperature [PB rises that fast, PS slightly rises, Z stabilization, NS slightly decline, under NB
Drop is fast] 5 grades；
3, outdoor wet-bulb temperature is obscured and turns to 5 grades of current weather [PB is awfully hot, PS is warm, Z is comfortable, NS is cold, NB is terribly cold]；
4, by the following temperature it is fuzzy turn to the following temperature [PS can heating, Z variation less, NB can turn cold] 3 grades.
Step S4 trade-off decision scheme in experts database, is examined in experts database according to the data after blurring
Rope searches corresponding decision scheme.The experts database is to be combined the different conditions of above-mentioned influence factor to form several feelings
Condition determines decision scheme in each case according to the operating experience of expert and stores the experts database to be formed, i.e., described special
Family library includes that operation expert is directed to decision scheme given by the different operation conditions that system faces；The experts database can be by fuzzy
Data after change are indexed.Specifically, decision scheme is expressed as follows:
Increasing by one refrigerator Operation Definition of operation is+1,
Increasing by two refrigerator Operation Definitions of operation is+2,
Operation refrigerator need not be increased and decreased and be defined as+0,
It reduces one refrigerator of operation and is defined as -1,
It reduces two refrigerators of operation and is defined as -2,
S5 is executed, and control system carries out refrigerator increase and decrease control according to the correspondence scheme retrieved.
S6 terminates.
Based on the above technical solution, the present invention can also be improved as follows:
Further, control system is filed by 1 second each frequency according to the water temperature data and persistently calculates 1
Water temperature change rate in minute, T '=(Tnow-Tbefore)/1min, T ' are water temperature change rate, TnowFor current water temperature, TbeforeIt is 1 point
Water temperature before clock.Control system obtains temperature discreet value in following 2 hours according to the weather forecast information.
Further, the value of the influence factor of other influences system operation can also be acquired in step S2.
Compared with prior art, the present invention has the following technical effect that
The change rate of the operating parameter and operating parameter current compared to the system that only relies on interferes system existing
Technology, method introduces the discreet values of factor-outside air temperature following a few hours of the system of influence, and according to this discreet value system
Fixed corresponding control measure, therefore can shift to an earlier date a few hours and interfere system substantially increase the response speed of system and steady
It is qualitative.
Detailed description of the invention
Fig. 1 is a kind of flow chart of fuzzy control method for refrigeration station group control system of the invention；
Fig. 2 is the schematic diagram of step S4 retrieval scheme in experts database of the present invention；
In the accompanying drawings, meaning represented by each label is listed as follows:
S1 starts
The value of S2 acquisition process influence factor simultaneously calculates variation tendency
S3 carries out Fuzzy processing to the data that S2 is walked
S4 trade-off decision scheme in experts database
S5 is executed
S6 terminates
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
It please refers to shown in Fig. 1, Fig. 1 is the fuzzy control method that the present invention is used for refrigeration station group control system, comprising:
S1 starts
The value of S2 acquisition process influence factor simultaneously calculates variation tendency
S3 carries out Fuzzy processing to the data that S2 is walked
S4 trade-off decision scheme in experts database
S5 is executed
S6 terminates
The S2 acquires influence factor value, acquires refrigeration station water temperature by water temperature sensor, is acquired by outdoor temperature sensor
Outside air temperature acquires outside humidity by outside humidity sensor, and control system is each by 1 second according to water temperature sensor signal
Frequency, which is filed, persistently calculates water temperature change rate in 1 minute, T '=(Tnow-Tbefore)/1min, according to outside air temperature and room
Outer humidity calculates outdoor wet-bulb temperature, estimates temperature by weather forecast interface 2 hours futures of acquisition.
To the data progress Fuzzy processing of the water temperature, water temperature change rate, temperature, the following temperature that are obtained in step S2, tool
Body is as follows:
1, water temperature signal is fuzzy turns to 5 grades of water temperature [PB is very high, PS high, Z is suitable, NS is low, NB is very low]；
2, by water temperature change rate signal ambiguity turn to water temperature [PB rise fast, PS slightly rises, Z stabilization, NS slightly decline,
NB decline is fast] 5 grades；
3, outdoor wet-bulb temperature is obscured and turns to 5 grades of current weather [PB is awfully hot, PS is warm, Z is comfortable, NS is cold, NB is terribly cold]；
4, by the following temperature it is fuzzy turn to the following temperature [PS can heating, Z variation less, NB can turn cold] 3 grades.
The S4 retrieves corresponding scheme in expert experience base, is examined in experts database according to the data after blurring
Rope searches corresponding decision scheme.The experts database is to be combined the different conditions of above-mentioned 4 factors, forms C5*C5*
C5*C3=375 kind situation, 4 dimensions that decision scheme in each case is determined according to the operating experience of expert and is stored
Group；The expert experience base can be indexed by the information after blurring.Specifically, decision scheme carries out table as follows
It reaches:
Increasing by one refrigerator Operation Definition of operation is+1,
Increasing by two refrigerator Operation Definitions of operation is+2,
Operation refrigerator need not be increased and decreased and be defined as+0,
It reduces one refrigerator of operation and is defined as -1,
It reduces two refrigerators of operation and is defined as -2,
Shown in referring to figure 2., Fig. 2 is the signal that step S4 of the present invention retrieves corresponding scheme in expert experience base
Figure, if the data of step S3 blurring show that current water temperature is very high, quickly, current temperature is awfully hot for water temperature change rate, weather forecast
Display temperature meeting heating in following 2 hours, then in expert experience base, retrieval current water temperature " PB is very high " first, on this basis
Continue to retrieve water temperature change rate to be " PB rises fast ", further retrieval current temperature " PB is awfully hot ", is further examined on this basis
Rope future temperature " PS meeting heating ", to obtain corresponding scheme "+2 ", that is, increases by two refrigerators of operation.
S5 is executed.
Control system carries out refrigerator increase and decrease machine control according to the correspondence scheme indexed out.
S6 terminates.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of fuzzy control method for refrigeration station group control system, the specific steps are as follows:
S1 starts,
The value of S2 acquisition process influence factor simultaneously calculates variation tendency,
S3 carries out Fuzzy processing to data obtained in step S2,
S4 trade-off decision scheme in experts database,
S5 is executed,
S6 terminates.
2. a kind of fuzzy control method for refrigeration station group control system according to claim 1, which is characterized in that described
The value of step S2 acquisition process influence factor simultaneously calculates variation tendency, including acquires water temperature and calculate water temperature change rate；Collection room
Outer temperature and humidity simultaneously calculate outdoor wet-bulb temperature；Acquisition future estimates temperature.
3. a kind of fuzzy control method for refrigeration station group control system according to claim 2, which is characterized in that described
Step S3 carries out Fuzzy processing to the data obtained in step S2, refers specifically to:
Water temperature is blurred are as follows: PB is very high, PS high, Z is suitable, NS is low, NB is very low；
Water temperature change rate is blurred are as follows: PB rising is fast, PS slightly rises, Z is stable, NS slightly declines, NB decline is fast；
Outdoor wet-bulb temperature is blurred are as follows: PB is awfully hot, PS is warm, Z is comfortable, NS is cold, NB is terribly cold；
The following temperature is blurred are as follows: PS can heating, Z variation less, NS can turn cold.
4. a kind of fuzzy control method for refrigeration station group control system according to claim 1-3, feature
It is, the decision scheme in the experts database is expressed as follows:
Increasing by one refrigerator Operation Definition of operation is+1,
Increasing by two refrigerator Operation Definitions of operation is+2,
Operation refrigerator need not be increased and decreased and be defined as+0,
It reduces one refrigerator of operation and is defined as -1,
It reduces two refrigerators of operation and is defined as -2.
5. a kind of fuzzy control method for refrigeration station group control system according to claim 1 to 3, which is characterized in that institute
Stating the experts database in step S4 includes that operation expert is directed to decision scheme given by the different operation conditions that system faces,
The experts database can be retrieved according to the data after Fuzzy processing in the step S3.
6. a kind of fuzzy control method for refrigeration station group control system according to claim 2 or 3, which is characterized in that
The water temperature carries out filing according to 1 second each frequency and persistently calculates water temperature change rate in 1 minute；The future estimates gas
Temperature value is the following temperature discreet value in 2 hours.
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| CN201811114732.8A CN109237864A (en) | 2018-09-25 | 2018-09-25 | A kind of fuzzy control method for refrigeration station group control system |
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| CN201811114732.8A CN109237864A (en) | 2018-09-25 | 2018-09-25 | A kind of fuzzy control method for refrigeration station group control system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1219251A (en) * | 1996-05-21 | 1999-06-09 | Hts高科技系统股份公司 | Home and building automation system |
| JP2001021198A (en) * | 1999-07-12 | 2001-01-26 | Mitsubishi Heavy Ind Ltd | Air conditioner |
| CN1375665A (en) * | 2001-03-20 | 2002-10-23 | 广东省科学院自动化工程研制中心 | Intelligent power saving system for central air conditioner |
| CN104315673A (en) * | 2014-09-16 | 2015-01-28 | 珠海格力电器股份有限公司 | Fuzzy control system and method for central air conditioner |
| CN106292408A (en) * | 2015-06-01 | 2017-01-04 | 南京索乐优节能科技有限公司 | A kind of multiple-energy-sources based on RSMC's data comprehensive utilization control system |
-
2018
- 2018-09-25 CN CN201811114732.8A patent/CN109237864A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1219251A (en) * | 1996-05-21 | 1999-06-09 | Hts高科技系统股份公司 | Home and building automation system |
| JP2001021198A (en) * | 1999-07-12 | 2001-01-26 | Mitsubishi Heavy Ind Ltd | Air conditioner |
| CN1375665A (en) * | 2001-03-20 | 2002-10-23 | 广东省科学院自动化工程研制中心 | Intelligent power saving system for central air conditioner |
| CN104315673A (en) * | 2014-09-16 | 2015-01-28 | 珠海格力电器股份有限公司 | Fuzzy control system and method for central air conditioner |
| CN106292408A (en) * | 2015-06-01 | 2017-01-04 | 南京索乐优节能科技有限公司 | A kind of multiple-energy-sources based on RSMC's data comprehensive utilization control system |
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Application publication date: 20190118 |