CN104454601B - Freezer fan starting control method - Google Patents
Freezer fan starting control method Download PDFInfo
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- CN104454601B CN104454601B CN201310412934.1A CN201310412934A CN104454601B CN 104454601 B CN104454601 B CN 104454601B CN 201310412934 A CN201310412934 A CN 201310412934A CN 104454601 B CN104454601 B CN 104454601B
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- weights
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05D—INDEXING SCHEME FOR ASPECTS RELATING TO NON-POSITIVE-DISPLACEMENT MACHINES OR ENGINES, GAS-TURBINES OR JET-PROPULSION PLANTS
- F05D2270/00—Control
- F05D2270/70—Type of control algorithm
- F05D2270/707—Type of control algorithm fuzzy logic
Abstract
The open a kind of freezer fan starting control method of the present invention, controller is carried out as follows: according to temperature of ice house and the temperature of ice house of setting of detection, determines fan starting weights according to fuzzy control method and carries out communication with other controller；Electrical network real effective and electrical network according to detection calculate desired value, determine that electrical network forbids weights according to fuzzy control method；Judge that whether this fan starting weights are more than or equal to other fan starting weights；If this fan starting weights are more than or equal to other fan starting weights, continue to judge whether this fan starting weights forbid weights more than electrical network；No, repeat a, b, c, Step d；As this fan starting weights forbid weights more than electrical network, start blower fan；No, repeat a, b, c, d, step e.
Description
Technical field
The present invention relates to a kind of freezer fan starting control method, a kind of in the premise ensureing that freezer normally works
Under, reduce the freezer fan starting control method of power grid quality impact.
Background technology
Existing refrigeration storage system is provided with blower fan at each independent storehouse, and every Fans is controlled by temperature controller.
By the temperature in the temperature controller detection each storehouse of freezer, when observed temperature is higher than design temperature, controller starts blower fan；When
When observed temperature is less than design temperature, controls blower fan and quit work；The startup of the most existing freezer blower fan is the most only according to independent storehouse
The temperature in room and determine.But, in actual motion, if it is bad just to meet power grid quality during fan starting, then possibly cannot open
Other blower fan that dynamic or interference is currently running, deteriorates power grid quality the most further.Particularly it is made up of multiple independent storehouses
Large cold storage system, it is most likely that there is the situation that all blower fans start simultaneously, then have a strong impact on power grid quality.
Summary of the invention
The present invention is to solve the above-mentioned technical problem existing for prior art, it is provided that a kind of in the guarantee normal work of freezer
On the premise of work, reduce the freezer fan starting control method of power grid quality impact.
The technical solution of the present invention is: a kind of freezer fan starting control method, it is characterised in that controller is by such as
Lower step is carried out:
A. according to temperature of ice house and the temperature of ice house of setting of detection, fan starting weights are determined according to fuzzy control method
And carry out communication with other controller；
B. electrical network real effective and electrical network according to detection calculate desired value, determine that electrical network is forbidden according to fuzzy control method
Weights；
C. judge that whether this fan starting weights are more than or equal to other fan starting weights；
D. if this fan starting weights are more than or equal to other fan starting weights, continue to judge that this fan starting weights are
No forbid weights more than electrical network；No, repeat a, b, c, Step d；
E. forbid weights such as this fan starting weights more than electrical network, start blower fan；No, repeat a, b, c, d, step e.
Described a step is: calculates temperature difference e between temperature of ice house and the temperature of ice house of setting of detection, and leads to temperature difference e
Crossing the acquisition difference variation rate Δ e that differentiates, according to e '=K1 × e, Δ e '=K2 × Δ e and carry out 4 houses 5 and enter to process, it is thus achieved that temperature
Difference e and centrifugal pump e of difference variation rate Δ e ' and Δ e ', the quantizing range/temperature range of K1=temperature difference e in formula, the amount of K2=Δ e
Change scope/temperature range, sets the quantizing range of temperature difference e as { 0,1,2,3,4}；Set the quantizing range of difference variation rate Δ e
So that-2 ,-1,0,1,2}, export table 1 according to following fuzzy control, determine fan starting weights u, if e ' is less than zero, the most simultaneously
Determining fan starting weights u is zero；If e ' is more than maximum in table 1, take e ' equal to maximum in table 1；Work as e ' equal to or more than zero
Time, Δ e ', less than minima in table 1, takes Δ e ' and more than maximum in table 1 equal to minima in table 1, Δ e ', then takes Δ e ' and be equal to
Maximum in table 1:
Table 1
Described b step is: calculating desired value according to electrical network real effective and electrical network and calculate deviation factor of wave h, waveform is abnormal
Variable coefficient h=0.707-0.707 × electrical network real effective/electrical network calculates desired value, to deviation factor of wave h by differentiating
Obtain deviation factor of wave rate of change Δ h, according to h '=K3 × h, Δ h '=K4 × Δ h and carry out 4 houses 5 and enter to process, it is thus achieved that waveform
Distortion factor h and centrifugal pump h of deviation factor of wave rate of change Δ h ' and Δ h ', the quantization model of K3=deviation factor of wave h in formula
Enclose/deviation factor of wave scope, the quantizing range of K4=Δ h/deviation factor of wave scope, set the quantization of deviation factor of wave h
Scope be-2 ,-1,0,1,2}, deviation factor of wave scope (-0.3,0.3)；Set the amount of deviation factor of wave rate of change Δ h
Change scope be-2 ,-1,0,1,2}, deviation factor of wave scope (-0.1,0.1)；Export table 2 according to following fuzzy control, determine
Electrical network forbids weights V:
Table 2
The present invention is with cold storage temperature as condition, and fuzzy control method determines fan starting weights；With line voltage
For condition, fuzzy control method determines that electrical network forbids weights, then with locally initiating weights, other storehouse fan starting weights and
Electrical network forbids weights, as the comprehensive descision factor of fan starting, i.e. opens more than or equal to other blower fan at locally initiating weights
Just start when moving weights and forbid weights more than electrical network.On the premise of normally can working ensureing freezer, reduce power grid quality shadow
Ring, the impact on equipment such as motors of the ropy electrical network can be avoided, it is possible to avoid many Fans to start simultaneously and have a strong impact on
Power grid quality.
Accompanying drawing explanation
Fig. 1 is the schematic block circuit diagram of embodiment of the present invention fan controller.
Fig. 2 is embodiment of the present invention variable e Triangleshape grade of membership function figure.
Fig. 3 is embodiment of the present invention variable Δ e Triangleshape grade of membership function figure.
Fig. 4 is embodiment of the present invention variable u Triangleshape grade of membership function figure.
Detailed description of the invention
The fan controller circuit of the embodiment of the present invention is as it is shown in figure 1, be provided with controller (microprocessor, single-chip microcomputer
Deng), it being connected to temperature sensing circuit with controller, the output of controller controls blower motor, electrical network detection device (transformer
Deng) connected with controller by current/voltage converter circuit (ACS712) and true effective value converting circuit (AD8436) respectively, with
Controller is also connected to communication interface, carries out data communication with other controller.Current/voltage converter circuit can will be detected
Current value be transformed into magnitude of voltage, through controller software calculate can obtain electrical network calculate desired value, RMS conversion electricity
The magnitude of voltage detected can be converted to electrical network real effective by road.
A. the temperature of ice house detected according to temperature sensing circuit and the temperature of ice house of setting, true according to fuzzy control method
Determine fan starting weights and carry out communication with other controller；
Concrete grammar is: first calculate temperature difference e between the temperature of ice house of detection and the temperature of ice house of setting, and to temperature difference e
By the acquisition difference variation rate Δ e that differentiates, according to e '=K1 × e, Δ e '=K2 × Δ e and carry out 4 houses 5 and enter to process, it is thus achieved that
Temperature difference e and centrifugal pump e of difference variation rate Δ e ' and Δ e ', the quantizing range/temperature range of K1=temperature difference e in formula, K2=Δ e's
Quantizing range/temperature range, sets the quantizing range of temperature difference e as { 0,1,2,3,4}；Set the quantization model of difference variation rate Δ e
Enclose for-2 ,-1,0,1,2}, and according to following fuzzy control export table 1, determine fan starting weights u.Owing to freezer is in special feelings
Under condition, (just start refrigeration etc.) is it is possible that the situation of temperature fluctuation over range, if therefore e ' is less than zero, it is determined that blower fan opens
Dynamic weights u is zero；If e ' is more than maximum in table 1, take e ' equal to maximum in table 1；When e ' is equal to or more than zero, Δ e ' is little
Minima in table 1, takes Δ e ' and is more than maximum in table 1 equal to minima in table 1, Δ e ', then take Δ e ' maximum equal in table 1
Value:
Carry out communication by fan starting weights u determined by the generals such as communication interface with other controller, it is thus achieved that each simultaneously
Fan starting weights determined by controller.
Table 1
Specific embodiment is as follows:
As a example by the controller of freezer #1:
Have 4 need control independent cold storages, respectively freezer #1, freezer #2, freezer #3 and freezer #4, and this 4
Individual freezer blower fan is all in halted state.
Freezer #1: design temperature is 8 DEG C, and current detection temperature is 10 DEG C, and detecting temperature last time is 8 DEG C, it is allowed to the temperature difference of e
Scope 0 ~ 4 DEG C, the temperature range of Δ e-2 ~ 2 DEG C, then e=10-8=2, e is carried out differential calculation and obtains difference variation rate Δ e=8-10
=-2, K1=4/4=1, K2=4/4=1, calculates according to e '=K1 × e, Δ e '=K2 × Δ e, then e '=2, Δ e '=-2, according to above-mentioned mould
Stick with paste and control output table 1, determine that the weights that freezer #1 exports are 3.5.
Freezer #2: design temperature is-8 degree, and current detection temperature is-11 degree, detects temperature last time for-13 degree, it is allowed to e's
Temperature range 0 ~ 4 DEG C, the temperature range of Δ e-2 ~ 2 DEG C, then e=-11-(-8)=-3, less than minima " 0 " in table 1, it is determined that
The weights of freezer #2 output are 0.
Freezer #3: design temperature is-8 degree, and current detection temperature is-3 degree, and detecting temperature last time is 2 degree, it is allowed to the temperature of e
Difference scope 0 ~ 4 DEG C, the temperature range of Δ e-2 ~ 2 DEG C, then e=-3-(-8)=5, e is carried out differential calculation and obtains difference variation rate Δ e=
2-(-3)=5, K1=4/4=1, K2=4/4=1, calculates according to e '=K1 × e, Δ e '=K2 × Δ e, then e '=5, Δ e '=5, because e ' is big
Maximum 4 in table 1, then take e ' ' and be more than maximum 2 in table 1 equal to maximum 4 in table 1, Δ e ', then take Δ e ' equal in table 1
Maximum 2.Export table 1 according to above-mentioned fuzzy control, determine that the weights that freezer #3 exports are 1.5.
Freezer #4: design temperature is 0 degree, and current detection temperature is 0 degree, and detecting temperature last time is 0 degree, it is allowed to the temperature difference of e
Scope 0 ~ 4 DEG C, the temperature range of Δ e-2 ~ 2 DEG C, then e=0, e is carried out differential calculation and obtains difference variation rate Δ e=0, K1=4/4=
1, K2=4/4=1, calculate according to e '=K1 × e, Δ e '=K2 × Δ e, then e '=0, Δ e '=0, export table according to above-mentioned fuzzy control
1, determine that the weights that freezer #4 exports are 0.
Carrying out data communication by communication interface and communications line, each controller can get other fan starting power
Value.
B. calculate desired value according to electrical network real effective and electrical network and calculate deviation factor of wave h, deviation factor of wave h=
0.707-0.707 × electrical network real effective/electrical network calculates desired value, to deviation factor of wave h by acquisition waveform of differentiating
Distortion factor rate of change Δ h, according to h '=K3 × h, Δ h '=K4 × Δ h and carry out 4 houses 5 and enter to process, it is thus achieved that deviation factor of wave h
Centrifugal pump h with deviation factor of wave rate of change Δ h ' and Δ h ', in formula, the quantizing range/waveform of K3=deviation factor of wave h is abnormal
Variable coefficient scope, the quantizing range of K4=Δ h/deviation factor of wave scope, set the quantizing range of deviation factor of wave h as-
2 ,-1,0,1,2}, deviation factor of wave scope (-0.3,0.3)；Set the quantizing range of deviation factor of wave rate of change Δ h as
-2 ,-1,0,1,2}, deviation factor of wave scope (-0.1,0.1)；Export table 2 according to following fuzzy control, determine that electrical network is forbidden
Weights V:
Standard power grid quality should be the sine wave of standard, can be calculated by peak value, now real effective detection
Consistent with peakvalue's checking result of calculation, error is close to 0；After waveform distortion of the power supply network is square wave, real effective calculates and peak meter
Calculate and will produce error 0.3, if generation error is had-0.2 for triangular wave by distortion, determine that for this h scope is h [-0.3,0.3],
E [-0.1,0.1] is taken for Δ h, so may determine that K3=6.67, K4=20.
Table 2
。
Being 300A as currently recorded electrical network real effective electric current, recording electrical network real effective electric current last time is 330A, passes through
The preferable electric current of computed in software is 320A, so deviation factor of wave h=0.707-0.707 × 300A/320A=0.707-0.665
=0.042, h '=K3 × h=0.042 × 4/0.6=0.28, h '=0 after the process that rounds up；
To deviation factor of wave h by the acquisition deviation factor of wave rate of change Δ h that differentiates, last time, the waveform of detection was abnormal
Variable coefficient is 0.707 × 330A/320A=0.729, Δ h=0.729-0.665=0.064, Δ h '=K4 × Δ h=0.064 × 4/
0.2=1.28, Δ h '=1 after the process that rounds up；
Export table 2 according to above-mentioned fuzzy control, determine that electrical network forbids that weights are 0.5.
C. judge that whether this fan starting weights are more than or equal to other fan starting weights；
The fan starting weights of this fan starting weights with freezer #2, freezer #3 and freezer #4 are contrasted, will 3.5
Contrasting with 0,1.5,0, the startup weights of this blower fan of result are more than other fan starting weights；
D. if this fan starting weights are more than or equal to other fan starting weights, continue to judge that this fan starting weights are
No forbid weights more than electrical network；
Owing to the startup weights of this blower fan (freezer #1) are more than other fan starting weights, then continue to judge this fan starting
Whether weights forbid weights more than electrical network, 3.5 will forbid that weights 0.5 compare with electrical network.
E. forbid weights because of this fan starting weights more than electrical network, start blower fan.
As a example by the controller of freezer #2:
The controller of a, b step such as freezer #1；
C. judge that whether this fan starting weights are more than or equal to other fan starting weights；
The fan starting weights of this fan starting weights with freezer #1, freezer #3 and freezer #4 are contrasted, will 0 with
3.5,1.5,0 contrast；
D. the startup weights of this blower fan of result are less than other fan starting weights, repeat a, b, c, Step d；
Freezer #3, freezer #4 blower fan control method essentially identical with freezer #2.
So, for freezer #1, freezer #2, freezer #3 and freezer #4, in the above-mentioned detection moment, freezer #1 should be started at first
Blower fan and power grid quality meet fan starting condition, so starting freezer #1 blower fan.If freezer #1 fan starting weights are less than electricity
Weights forbidden by net, just need to repeat a, b, c, d, step e, and after the stabilization of power grids, this fan starting weights forbid weights more than electrical network
Proceed by refrigeration again, it is ensured that in the case of satisfied refrigeration requires, ensure power grid quality as far as possible.
The table 1 of the present embodiment, table 2 determine as follows:
{ negative big (NB), bears little (NS), zero (ZR), the least (PS), just Fuzzy Linguistic Variable to use following set expression to represent
Greatly (PB) }, variable e uses Triangleshape grade of membership function as shown in Figure 2, and variable Δ e uses triangle to be as shown in Figure 3 subordinate to
Degree function.
May determine that according to Fig. 2 and after the corresponding numerical value such as table 3:(variable e correspondence of variable e, gather A)
Table 3
| E F(e) | NB | NS | ZR | PS | PB |
| 0 | 1 | 0 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 | 0 |
| 2 | 0 | 0 | 1 | 0 | 0 |
| 3 | 0 | 0 | 0 | 1 | 0 |
| 4 | 0 | 0 | 0 | 0 | 1 |
May determine that according to Fig. 3 and after the corresponding numerical value such as table 4:(variable Δ e correspondence of variable Δ e, gather B)
Table 4
| Δ e F(Δ e) | NB | NS | ZR | PS | PB |
| -2 | 1 | 0 | 0 | 0 | 0 |
| -1 | 0 | 1 | 0 | 0 | 0 |
| 0 | 0 | 0 | 1 | 0 | 0 |
| 1 | 0 | 0 | 0 | 1 | 0 |
| 2 | 0 | 0 | 0 | 0 | 1 |
May determine that according to Fig. 4 and after the corresponding numerical value such as table 5:(variable u correspondence of variable u, gather C)
Table 5
| U F(u) | NB | NS | ZR | PS | PB |
| 0 | 1 | 0 | 0 | 0 | 0 |
| 1 | 0 | 1 | 0 | 0 | 0 |
| 2 | 0 | 0 | 1 | 0 | 0 |
| 3 | 0 | 0 | 0 | 1 | 0 |
| 4 | 0 | 0 | 0 | 0 | 1 |
Table 6 can be obtained according to table 3,4,5.
Table 6
Above-mentioned table 3 ~ table 6 is illustrated below: when error change amount is that NB(is negative big), error current is that NB(bears
Greatly), then the value of output is that NB(is negative big)
The corresponding 15 kinds of derivation relationships of reasoning of above-mentioned table 6, corresponding fuzzy control relation as listed by table 7.
Table 7
The minimum computing of Mamdani is used to make inferences
Calculated by above formula
Calculate RAAnd RBFuzzy reasoning is carried out afterwards according to below equation:
Such as: e input is NS for NS, Δ e input
After substituting into formula calculating above, result is
Fuzzy value is remained for above result of calculation, fuzzy reasoning result will be changed into can compare accurate
Value is the most meaningful, uses maximum membership degree method defuzzification in the present invention.
Such as go up in example, when e is NS, be output as when Δ e input is for NS, i.e. it is output as
What degree of membership was maximum is f is 0 and 1 when, then can calculate output fuzzy solution is
Adopt and can calculate input and the corresponding table 1 of output in this way.In like manner adopt and can calculate input in this way
Corresponding table 2 with output.
Claims (2)
1. a freezer fan starting control method, controller is carried out as follows:
A. according to detection temperature of ice house and the temperature of ice house of setting, according to fuzzy control method determine fan starting weights and with
Other controller carries out communication；
B. electrical network real effective and electrical network according to detection calculate desired value, determine electrical network prohibition right according to fuzzy control method
Value；
C. judge that whether this fan starting weights are more than or equal to other fan starting weights；
D. if this fan starting weights are more than or equal to other fan starting weights, continue to judge that this fan starting weights are the biggest
Weights are forbidden in electrical network；No, repeat a, b, c, Step d；
E. forbid weights such as this fan starting weights more than electrical network, start blower fan；No, repeat a, b, c, d, step e；
It is characterized in that described a step is: calculate temperature difference e between temperature of ice house and the temperature of ice house of setting of detection, and right
Temperature difference e is by the acquisition difference variation rate Δ e that differentiates, according to e '=K1 × e, Δ e '=K2 × Δ e and carry out 4 houses 5 and enter to process,
Obtain temperature difference e and centrifugal pump e of difference variation rate Δ e ' and Δ e ', the quantizing range/temperature range of K1=temperature difference e, K2=in formula
Quantizing range/the temperature range of Δ e, sets the quantizing range of temperature difference e as { 0,1,2,3,4}；Set the amount of difference variation rate Δ e
Change scope be-2 ,-1,0,1,2}, export table 1 according to following fuzzy control, determine fan starting weights u, if simultaneously e ' is less than
Zero, it is determined that fan starting weights u is zero；If e ' is more than maximum in table 1, take e ' equal to maximum in table 1；Work as e ' equal to or
During more than zero, Δ e ', less than minima in table 1, takes Δ e ' and more than maximum in table 1, then takes Δ equal to minima in table 1, Δ e '
E ' is equal to maximum in table 1:
Table 1
。
Freezer fan starting control method the most according to claim 1, it is characterised in that described b step is: according to electrical network
Real effective and electrical network calculate desired value and calculate deviation factor of wave h, and deviation factor of wave h=0.707-0.707 × electrical network really has
Valid value/electrical network calculates desired value, and by differentiating, deviation factor of wave h is obtained deviation factor of wave rate of change Δ h, according to
H '=K3 × h, Δ h '=K4 × Δ h and carry out 4 houses 5 and enter to process, it is thus achieved that deviation factor of wave h and deviation factor of wave rate of change Δ
Centrifugal pump h of h ' and Δ h ', the quantizing range of K3=deviation factor of wave h/deviation factor of wave scope in formula, the amount of K4=Δ h
Change scope/deviation factor of wave scope, set the quantizing range of deviation factor of wave h as-2 ,-1,0,1,2}, wave distortion system
Number scope (-0.3,0.3)；Set the quantizing range of deviation factor of wave rate of change Δ h as-2 ,-1,0,1,2}, wave distortion
Coefficient range (-0.1,0.1)；Export table 2 according to following fuzzy control, determine that electrical network forbids weights V:
Table 2
。
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| JPH04235601A (en) * | 1991-01-10 | 1992-08-24 | Toshiba Electric Appliance Co Ltd | Fuzzy controlled blower |
| JPH06248898A (en) * | 1993-02-26 | 1994-09-06 | Toshiba Corp | Tunnel ventilation control device |
| CN201014676Y (en) * | 2007-02-12 | 2008-01-30 | 广州金关节能科技发展有限公司 | Air conditioner cooling volume self-adaptive energy-saving controller |
| CN201111300Y (en) * | 2007-12-29 | 2008-09-03 | 山东达驰电气股份有限公司 | Transformer wind cooling intelligent control system |
| CN101509390A (en) * | 2009-02-25 | 2009-08-19 | 湖南大学 | Tunnel ventilation control method based on fuzzy control |
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