CN103542493B - System and method for intelligent control over automobile air conditioner according to fuzzy control - Google Patents
System and method for intelligent control over automobile air conditioner according to fuzzy control Download PDFInfo
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Abstract
The invention provides a system and method for intelligent control over an automobile air conditioner according to fuzzy control and relates to the field of control over automobile air conditioners. The system for intelligent control over the automobile air conditioner according to fuzzy control comprises a temperature detecting device used for detecting the temperature in an automobile passenger cabin, a data processing unit used for obtaining the temperature difference in the passenger cabin and the change rate of the temperature difference in the passenger cabin according to the temperature, a fuzzy controller which is used for conducting fuzzification on the temperature difference and the change rate, conducting fuzzy inference according to a control rule list to obtain a fuzzy controlling quantity, obtaining an accurate control quantity after making the fuzzy control quantity clear, and outputting an accurate control quantity signal according to the accurate control quantity and the automobile air conditioner used for changing the temperature of the passenger cabin according to the accurate control quantity signal. By the adoption of the system and method for intelligent control over the automobile air conditioner according to fuzzy control, the temperature of the passenger cabin can be rapidly changed, the temperature of the passenger cabin is kept in the degree that a driver and passengers feel comfortable, the oxygen content and the ventilation condition in the passenger cabin are also considered, the comfortable sensation of the driver and the passengers is improved, and the risk of carbon monoxide poisoning is reduced.
Description
Technical field
The present invention relates to on-board air conditioner control field, the Based Intelligent Control of especially a kind of on-board air conditioner based on fuzzy control
System and method.
Background technology
Quickly improve with people's living standard, on-board air conditioner has become as the necessary devices in automotive-type product.Manually
Air conditioning system cannot dissipate according to crew module's inner air and outer air temperature, intensity of solar radiation, speed, engine heat load and driving people
The conversion of the factors such as heat regulates and controls to the air in crew module in time, and control effect is also not ideal, and Non-follow control
Need driver manually to operate, this adds increased the workload of driver.
In addition, driver is difficult to realize carries out optimal regulation and control according to the concrete condition of temperature in crew module to air-conditioning,
As the mode of operation using high wind speed when air themperature is low, but it is not operated the tune of pattern after temperature raises in time
Whole, cause the waste of the energy；And for example for a long time using interior circulation pattern, cause in crew module oxygen content in air to reduce so that
Drive people's comfort to reduce, in particular cases may also result in carbon monoxide poisoning some.
Content of the invention
It is an object of the present invention to offer is a kind of in the quick temperature changing in crew module and can keep crew module
Interior temperature be in drive people suitable temperature while, take into account in crew module oxygen content and air circulation situation intelligence control
System and method processed, to increase the comfort driving people, reduces the risk of carbon monoxide poisoning.
Especially, the invention provides a kind of intelligence control system of the on-board air conditioner based on fuzzy control, comprising:
Temperature-detecting device, is used for: the temperature in detection vehicle occupant compartment；
Data processing equipment, is used for: according to described temperature, draws the change of temperature difference in crew module and described temperature difference
Rate, described temperature difference is equal to preset temperature value in crew module and deducts observed temperature value in crew module；
Fuzzy controller, be stored with described temperature difference be the first input variable, the rate of change of described temperature difference is for second
Input variable, the control rule table of fuzzy control process with the output parameter of on-board air conditioner as controlled quentity controlled variable, are used for: to described temperature
Degree difference and described rate of change carry out obfuscation, carry out fuzzy reasoning according to described control rule table, obtain fuzzy control quantity, by institute
After stating fuzzy control quantity sharpening, precisely controlled amount, precise control amount signal is exported according to described precise control amount, its
In, described controlled quentity controlled variable includes for controlling air-conditioning to be in the circulation pattern selection controlled quentity controlled variable of interior circulation pattern or outer circulation pattern,
Described control rule table obtains to the susceptibility curve of temperature according to crew module's bulk, on-board air conditioner power curve and human body
Go out；
On-board air conditioner, is used for: changes temperature in crew module according to described precise control amount signal.
Further, described control system also includes:
Manually select device, be used for: select to be turned on and off described control system.
Further, described controlled quentity controlled variable also includes: for controlling air door executer, speed regulation module of fan, compressor clutch
Device switch, executor's controlled quentity controlled variable of water-heating valve.
Further, described fuzzy controller includes:
Obfuscation module, is used for: described temperature difference and described rate of change are carried out obfuscation；
Memory module, is used for: stores described control rule table；
Reasoning module, is used for: is obtained according to the described temperature difference after described control rule table and obfuscation and described rate of change
To fuzzy control quantity；
Ambiguity solution module, is used for: enters row operation according to min-max centroid method to described fuzzy control quantity, is accurately controlled
Amount processed；
Accurately output module, exports described precise control amount to on-board air conditioner, described on-board air conditioner is according to described accurate control
Amount processed changes temperature in crew module.
Present invention also offers a kind of intelligent control method of the on-board air conditioner based on fuzzy control, comprising:
Step one, sets up in fuzzy controller and with the rate of change of the temperature difference in vehicle occupant compartment and described temperature difference is
First, second input variable, the control rule table of the fuzzy control process with the output parameter of on-board air conditioner as controlled quentity controlled variable, and build
Stand for by the input variable fuzzy set of precise volume obfuscation, wherein, described temperature difference is equal to preset temperature value in crew module and subtracts
Go observed temperature value in crew module, described controlled quentity controlled variable is included for controlling air-conditioning to be in following of interior circulation pattern or outer circulation pattern
Ring mode selects controlled quentity controlled variable, and described control rule table is according to crew module's bulk, on-board air conditioner power curve and human body to temperature
The susceptibility curve of degree draws；
Step 2, the temperature in detection vehicle occupant compartment, calculate the rate of change of described temperature difference and described temperature difference；
Step 3, draws the described temperature with same time point according to described input variable fuzzy set, described control rule table
Degree difference and the corresponding fuzzy control quantity of described rate of change, and described fuzzy control quantity is converted into precise control amount；
Step 4, changes temperature in crew module according to described precise control amount signal.
Further, described controlled quentity controlled variable also includes: for controlling air door executer, speed regulation module of fan, compressor clutch
Device switch, executor's controlled quentity controlled variable of water-heating valve.
Further, before step 2, also include:
Select step, choose whether using described control method.
Further, described step one includes:
By described first input variable, the second input variable all divides 7 grades of Linguistic Value manifolds and discretization, obfuscation are to respectively
From Linguistic Value manifold in；
Described executor's controlled quentity controlled variable is divided into 7 grades of Linguistic Value manifolds and discretization, obfuscation control to described executor
In the Linguistic Value manifold of amount, described circulation pattern selection controlled quentity controlled variable is divided into 2 grades of Linguistic Value manifolds and discretization, obfuscation arrive
Described circulation pattern selects in the Linguistic Value manifold of controlled quentity controlled variable.
Further, described step 3 adopts min-max centroid method.
Further, two grades of Linguistic Value manifolds that described circulation pattern selection control parameter divides are: { 0,1 }, wherein 0 table
Show and make on-board air conditioner be in outer circulation pattern, 1 expression makes on-board air conditioner be in interior circulation pattern.
The control system of the present invention, by a series of fuzzy operations to the temperature difference and rate of change, tries to achieve the control to on-board air conditioner
Thus controlling air-conditioning to adjust temperature, described controlled quentity controlled variable includes carrying out the circulation of selection for inner loop, outer circulation pattern amount processed
Model selection controlled quentity controlled variable.This design makes on-board air conditioner the temperature of crew module be changed rapidly with (heating or cooling) to expected temperature
While spending and desired temperature can be stably held in, oxygen content in crew module is kept in right amount, to increased and drive the comfortable of people
Degree, it also avoid under interior circulation pattern, because crew module's inner air flow is few, electromotor or exhaustor have gas leakage and pass through
Bodywork gap enters in crew module, causes the risk of carbon monoxide poisoning.
Further, the present invention manually select device, enable to drive people's unrestricted choice whether open institute of the present invention
The control system stated can select when not needing the system using the present invention to close described system so that driving people, so increases
The big choice driving people, saves the energy again.
According to the detailed description to the specific embodiment of the invention below in conjunction with accompanying drawing, those skilled in the art will be brighter
The above-mentioned and other purposes of the present invention, advantages and features.
Brief description
Describe some specific embodiments of the present invention hereinafter with reference to the accompanying drawings by way of example, and not by way of limitation in detail.
In accompanying drawing, identical reference denotes same or similar part or part.It should be appreciated by those skilled in the art that these
Accompanying drawing is not necessarily drawn to scale.In accompanying drawing:
Fig. 1 is the structure of the intelligence control system of the on-board air conditioner based on fuzzy control according to an embodiment of the invention
Schematic diagram；
Fig. 2 is the flow process of the intelligent control method of the on-board air conditioner based on fuzzy control according to an embodiment of the invention
Figure；
Fig. 3 is intelligence control system and the method for the on-board air conditioner based on fuzzy control according to an embodiment of the invention
Principle schematic.
Used in accompanying drawing, labelling is as follows:
Temperature-detecting device 101 data processing equipment 102
Fuzzy controller 103 on-board air conditioner 104
Specific embodiment
Fig. 1 is the intelligence control system of the on-board air conditioner 104 based on fuzzy control according to an embodiment of the invention
Structural representation.As shown in figure 1, the intelligence control system of the on-board air conditioner 104 based on fuzzy control of present invention offer is general
May include: to property
Temperature-detecting device 101, is used for: the temperature in detection vehicle occupant compartment；Data processing equipment 102, is used for: according to
Described temperature, draws the rate of change of temperature difference in crew module and described temperature difference, and described temperature difference is equal to default in crew module
Temperature value deducts observed temperature value in crew module；Fuzzy controller 103, be stored with described temperature difference be the first input variable,
The rate of change of described temperature difference is the second input variable, the fuzzy control with the output parameter of on-board air conditioner 104 as controlled quentity controlled variable
The control rule table of journey, is used for: carries out obfuscation to described temperature difference and described rate of change, is carried out according to described control rule table
Fuzzy reasoning, obtains fuzzy control quantity, and after described fuzzy control quantity sharpening, precisely controlled amount, according to described accurate
Controlled quentity controlled variable exports precise control amount signal, and wherein, described controlled quentity controlled variable is included for controlling air-conditioning to be in interior circulation pattern or following outward
The circulation pattern of ring mode selects controlled quentity controlled variable, and described control rule table is bent according to crew module's bulk, on-board air conditioner 104 power
Line and human body draw to the susceptibility curve of temperature；On-board air conditioner 104, is used for: is changed according to described precise control amount signal and takes advantage of
Temperature in member cabin.
This design makes on-board air conditioner 104 precisely controlled to the temperature change (heating or cooling) of crew module, makes
The temperature obtaining in crew module quickly rises to preferred temperature when relatively low, is rapidly decreased to preferred temperature when higher, and stable
Be maintained at this temperature it is ensured that the real-time of the intelligence control system of on-board air conditioner of the present invention 104 and method；Separately
Outward, because the controlled quentity controlled variable of above-mentioned fuzzy control also includes carrying out the circulation pattern choosing of selection for inner loop, outer circulation pattern
Select controlled quentity controlled variable, therefore, it is possible to, while temperature stabilization is in preferred temperature in holding crew module, keep oxygen content in crew module
In right amount, increased the comfort level driving people, it also avoid, under interior circulation pattern, because crew module's inner air flow is few, starting
Machine or exhaustor are had gas leakage and are entered in crew module by bodywork gap, cause the risk of carbon monoxide poisoning.
In one embodiment of the invention, described control system may also include and manually selects device, described manual choosing
Select device and be turned on and off described control system for selection.This it is designed to so that driving people's unrestricted choice whether open this
The described control system of invention can select when not needing the system using the present invention to close described system so that driving people,
Which increase the choice driving people, save the energy again
In one embodiment of the invention, described controlled quentity controlled variable may also include that for controlling air door executer, fan speed regulation
Module, compressor clutch switch, executor's controlled quentity controlled variable of water-heating valve.
In another embodiment of the present invention, described fuzzy controller 103 may include that obfuscation module, is used for: by institute
State temperature difference and described rate of change carries out obfuscation；Memory module, is used for: stores described control rule table；Reasoning module, uses
In: fuzzy control quantity is obtained according to the described temperature difference after described control rule table and obfuscation and described rate of change；Ambiguity solution
Module, is used for: enters row operation according to min-max centroid method to described fuzzy control quantity, precisely controlled amount；Accurately output mould
Block, exports described precise control amount to on-board air conditioner 104, described on-board air conditioner 104 changes occupant according to described precise control amount
Temperature in cabin.
Fig. 2 is the intelligent control method of the on-board air conditioner 104 based on fuzzy control according to an embodiment of the invention
Flow chart.As shown in Fig. 2 the intelligent control method of the on-board air conditioner 104 based on fuzzy control of present invention offer is in general manner
May include:
Step 201, sets up with the change of the temperature difference in vehicle occupant compartment and described temperature difference in fuzzy controller 103
Rate is first, second input variable, the control rule of the fuzzy control process with the output parameter of on-board air conditioner 104 as controlled quentity controlled variable
Table, and set up for by the input variable fuzzy set of precise volume obfuscation, wherein, described temperature difference is equal to default temperature in crew module
Angle value deducts observed temperature value in crew module, and described controlled quentity controlled variable is included for controlling air-conditioning to be in interior circulation pattern or outer circulation mould
The circulation pattern of formula selects controlled quentity controlled variable, described control rule table according to crew module's bulk, on-board air conditioner 104 power curve and
Human body draws to the susceptibility curve of temperature；Step 202, the temperature in detection vehicle occupant compartment, calculate described temperature difference and institute
State the rate of change of temperature difference；Step 203, draws and the same time according to described input variable fuzzy set, described control rule table
The described temperature difference of point and the corresponding fuzzy control quantity of described rate of change, and described fuzzy control quantity is converted into precise control
Amount；Step 204, changes temperature in crew module according to described precise control amount signal.
This design makes in the automatic control process of the intelligence control system of on-board air conditioner 104, fuzzy controller 103
Only need to inquire about the fuzzy control rule table of storage, therefore this control method not only achieves the intelligence of on-board air conditioner 104
The precise control of control system, simultaneously it is ensured that the real-time of the intelligence control system of on-board air conditioner 104.In addition, using fuzzy
The principle controlling controls the intelligence control system of on-board air conditioner 104 so that system has stronger robustness.Further, since it is above-mentioned
The circulation pattern that the controlled quentity controlled variable of fuzzy control also includes carrying out selection for inner loop, outer circulation pattern selects controlled quentity controlled variable, because
This can keep that in crew module, oxygen content is appropriate while keeping that in crew module, temperature stabilization is in preferred temperature, increased
Drive the comfort level of people, it also avoid under interior circulation pattern, because crew module's inner air flow is few, electromotor or exhaustor
There is gas leakage and entered in crew module by bodywork gap, cause the risk of carbon monoxide poisoning.
In one embodiment of the invention, described controlled quentity controlled variable may also include that for controlling air door executer, fan speed regulation
Module, compressor clutch switch, executor's controlled quentity controlled variable of water-heating valve.
In another embodiment of the present invention, before step 2, may also include that selection step, choose whether to use institute
State control method.
In one embodiment of the invention, described step one may include that described first input variable, the second input
Variable all divides 7 grades of Linguistic Value manifolds and discretization, obfuscation are in respective Linguistic Value manifold；By described executor's controlled quentity controlled variable
It is divided into 7 grades of Linguistic Value manifolds and discretization, obfuscation are in the Linguistic Value manifold of described executor's controlled quentity controlled variable, by described circulation
Model selection controlled quentity controlled variable is divided into 2 grades of Linguistic Value manifolds and discretization, obfuscation to described circulation pattern select the language of controlled quentity controlled variable
In speech value manifold.
In one embodiment of the invention, described step 3 can adopt min-max centroid method.Described min-max method
For prior art, it is a kind of transform mode in Automated condtrol, fuzzy control quantity being changed into digital control amount, in this patent
In be not detailed.
In one embodiment of the invention, two grades of Linguistic Value manifolds that described circulation pattern selection control parameter divides can
Think: { 0,1 }, wherein 0 expression makes on-board air conditioner 104 be in outer circulation pattern, and 1 expression makes on-board air conditioner 104 be in interior circulation
Pattern.
Fig. 3 be the on-board air conditioner 104 based on fuzzy control according to an embodiment of the invention intelligence control system and
The principle schematic of method.In the embodiment described in figure 3, fuzzy controller 103 is with the rate of change ec of temperature difference e and temperature difference
For input quantity, carry out fuzzy reasoning, calculate controlled quentity controlled variable u(x, y), wherein x is for controlling air door executer, fan speed regulation mould
Block, compressor clutch switch, executor's controlled quentity controlled variable of water-heating valve, y is for controlling air-conditioning to be in interior circulation pattern or following outward
The circulation pattern of ring mode selects controlled quentity controlled variable.Controlled quentity controlled variable u(x that on-board air conditioner controller exports according to fuzzy controller 103, y),
Realize the control to on-board air conditioner.Described temperature can be recorded by temperature sensor.
The intelligence control system of this on-board air conditioner is realized by the way of fuzzy control, in on-board air conditioner control process,
Fuzzy controller 103 only needs to inquire about the fuzzy control rule table of storage, and therefore this control method can not only be to vehicle-mounted sky
Transfer in row precise control, also ensure that the real-time of on-board air conditioner.Details are provided below.
1st, fuzzy controller 103 is with the temperature difference (in crew module, preset temperature value deducts observed temperature value in crew module) e for
One input variable, with difference variation rate ec for the second input variable；
2nd, the language Value Data of fuzzy controller 103 input quantity is carried out stepping: temperature difference e and difference variation rate ec are divided into
7 grades, it is expressed as respectively with vocabulary: { negative big (nb) in bearing (nm), bears little (ns), zero (zo), just little (ps), hit exactly (pm), just
Greatly (pb) }；
3rd, the domain of temperature difference e and difference variation rate ec is all set to 15 grades: -7, -6, -5, -4, -3, -2, -1,0,
1,2,3,4,5,6,7 }；Temperature difference e and difference variation rate ec assignment are respectively shown in following Tables 1 and 2.
Table one
Table two
4th, corresponding fuzzy set type variable is drawn by linguistic variable, to carry out fuzzy reasoning: by precise volume (temperature difference e, the temperature difference
Rate of change ec) discretization and obfuscation, one fuzzy set of each grade of correspondence of division；
5th, controlled quentity controlled variable u(x, y) in x Linguistic Value be negative big (nb), in bearing (nm), bears little (ns), zero (zo), just little (ps),
Center (pm), honest (pb) }, domain is set to 15 grades: { -7, -6, -5, -4, -3, -2, -1,0,1,2,3,4,5,6,7 }.Control
Amount u(x processed, y) in y Linguistic Value be { zero, just }, domain is set to 2 grades: { 0,1 }.U(x, y) in x assignment as shown in table 3 below.
Table three
6th, set up first control rule base, to constitute fuzzy set control rule base, the final control obtaining fuzzy control process
Rule list, as shown in table 4；
Table 4
Described control rule table is to temperature according to crew module's bulk, on-board air conditioner 104 power curve and human body
Susceptibility curve draws it is therefore an objective to realize quickly temperature in crew module being adjusted to design temperature, and makes temperature in crew module
Preferably stable near design temperature, prevent high frequent ground start and stop, it is to avoid in being in for a long time because of on-board air conditioner simultaneously
Circulation pattern and cause oxygen content in crew module low in addition carbon monoxide poisoning situation generation.
Temperature difference e is bigger, needs the probability changing temperature higher；Get over the absolute value of positive and negative difference variation rate with the temperature difference
Greatly, need the probability changing temperature higher.Therefore, in described control rule table, to temperature difference e in positive more than 6 (6,7),
If rate of change ec is in positive more than 6 (6,7), illustrate to be highly desirable to crew module heat up, therefore corresponding output u(x, y) in
X be all maximum negative value -7.To temperature difference e below -6 (- 6, -7), if rate of change ec is (- 6, -7) below -6, say
Bright being highly desirable to is lowered the temperature to crew module, so corresponding output u(x, y) in x also be all forward direction maximum 7.
In controlled quentity controlled variable u(x, y) in, y is for controlling on-board air conditioner to be in interior circulation pattern or the circulation of outer circulation pattern
Model selection controlled quentity controlled variable.When temperature is higher in crew module, air-conditioning is just opened, when opening interior circulation, occupant can be reduced faster
Temperature in cabin.But open interior circulation for a long time and be easily caused oxygen content in air reduction in crew module, so temperature fall in crew module
After low, outer circulation need to be opened.Therefore, in described control rule table, when the temperature difference very big (e is -7, -6, -5,6,7) in crew module
When, corresponding output u(x, y) in y be 1, represent open interior circulation pattern.When in crew module, the temperature difference is little, then simultaneously
In conjunction with difference variation rate, determine the control model of air-conditioning, prevent the frequent start-stop of air-conditioning simultaneously.
So, above control rule table is to temperature according to crew module's bulk, on-board air conditioner 104 power curve and human body
The susceptibility curve of degree as standard, further according to temperature difference e and difference variation rate ec to the anticipated impact statistics driving human temperature
Produce.
7th, make de-fuzzy by the output interface of fuzzy controller 103 to process, fuzzy control quantity is converted to precise control
Amount u(x, y).Realize the de-fuzzy process of fuzzy reasoning and its fuzzy quantity using min-max centroid method；
8th, precisely controlled amount u(x, y) after (on-board air conditioner control signal), in on-board air conditioner 104, on-board air conditioner control
Device processed will realize the control to controlled device (on-board air conditioner performs device) according to this controlled quentity controlled variable.
When controlled quentity controlled variable u(x, y)=u(x, 1) when, interior circulation pattern opened by on-board air conditioner controller；As controlled quentity controlled variable u(x, y)=u
When (x, 0), outer circulation pattern opened by on-board air conditioner controller.When driving people manually selects interior circulation or outer circulation pattern, this
The intelligence control system of the on-board air conditioner of invention, preferentially using the circulation pattern manually selecting, closes above-mentioned automatic inner-outer circulation choosing
Select function.When driving people selects to automatically control interior circulation or outer circulation pattern again, the intelligence control of the on-board air conditioner of the present invention
System processed will be according to the control rule table automatic decision of present case (e, ec) and described fuzzy control process, thus controlling current
The selection of circulation pattern.
So far, although those skilled in the art will appreciate that detailed herein illustrate and describe the multiple of the present invention and show
Example property embodiment, but, without departing from the spirit and scope of the present invention, still can be direct according to present disclosure
Determine or derive other variations or modifications of many meeting the principle of the invention.Therefore, the scope of the present invention is it is understood that and recognize
It is set to and cover other variations or modifications all these.
Claims (10)
1. a kind of intelligence control system of the on-board air conditioner based on fuzzy control, comprising:
Temperature-detecting device (101), is used for: the temperature in detection vehicle occupant compartment；
Data processing equipment (102), is used for: according to described temperature, draws the change of temperature difference in crew module and described temperature difference
Rate, described temperature difference is equal to preset temperature value in crew module and deducts observed temperature value in crew module；
Fuzzy controller (103), be stored with described temperature difference be the first input variable, the rate of change of described temperature difference is for second
Input variable, the control rule table of fuzzy control process with the output parameter of on-board air conditioner as controlled quentity controlled variable, are used for: to described temperature
Degree difference and described rate of change carry out obfuscation, carry out fuzzy reasoning according to described control rule table, obtain fuzzy control quantity, by institute
After stating fuzzy control quantity sharpening, precisely controlled amount, precise control amount signal is exported according to described precise control amount, its
In, described controlled quentity controlled variable includes for controlling air-conditioning to be in the circulation pattern selection controlled quentity controlled variable of interior circulation pattern or outer circulation pattern,
Described control rule table obtains to the susceptibility curve of temperature according to crew module's bulk, on-board air conditioner power curve and human body
Go out；
On-board air conditioner (104), is used for: changes temperature in crew module according to described precise control amount signal；
Wherein, the assignment table of described temperature difference is:
The assignment table of the rate of change of described temperature difference is:
In described controlled quentity controlled variable u (x, y), the assignment table of x is:
In described controlled quentity controlled variable u (x, y), y Linguistic Value is { zero, just }, and domain is set to 2 grades: { 0,1 }；
Described control rule table is:
.
2. control system as claimed in claim 1 is it is characterised in that also include:
Manually select device, be used for: select to be turned on and off described control system.
3. control system as claimed in claim 2 it is characterised in that
Described controlled quentity controlled variable also includes: for controlling air door executer, speed regulation module of fan, compressor clutch switch, water-heating valve
Executor's controlled quentity controlled variable.
4. the control system as described in any one in claims 1 to 3 is it is characterised in that described fuzzy controller includes:
Obfuscation module, is used for: described temperature difference and described rate of change are carried out obfuscation；
Memory module, is used for: stores described control rule table；
Reasoning module, is used for: obtains mould according to the described temperature difference after described control rule table and obfuscation and described rate of change
Paste controlled quentity controlled variable；
Ambiguity solution module, is used for: enters row operation according to min-max centroid method to described fuzzy control quantity, precisely controlled amount；
Accurately output module, exports described precise control amount to on-board air conditioner, described on-board air conditioner is according to described precise control amount
Change temperature in crew module.
5. a kind of intelligent control method of the on-board air conditioner based on fuzzy control, comprising:
Step one, sets up with the rate of change of the temperature difference in vehicle occupant compartment and described temperature difference in fuzzy controller (103)
For first, second input variable, the control rule of the fuzzy control process with the output parameter of on-board air conditioner (104) as controlled quentity controlled variable
Table, and set up for by the input variable fuzzy set of precise volume obfuscation, wherein, described temperature difference is equal to default temperature in crew module
Angle value deducts observed temperature value in crew module, and described controlled quentity controlled variable is included for controlling air-conditioning to be in interior circulation pattern or outer circulation mould
The circulation pattern of formula selects controlled quentity controlled variable, and described control rule table is according to crew module's bulk, on-board air conditioner power curve and people
Body draws to the susceptibility curve of temperature；
Step 2, the temperature in detection vehicle occupant compartment, calculate the rate of change of described temperature difference and described temperature difference；
Step 3, draws the described temperature difference with same time point according to described input variable fuzzy set, described control rule table
The corresponding fuzzy control quantity with described rate of change, and described fuzzy control quantity is converted into precise control amount；
Step 4, changes temperature in crew module according to described precise control amount signal；
Wherein, the assignment table of described temperature difference is:
The assignment table of the rate of change of described temperature difference is:
In described controlled quentity controlled variable u (x, y), the assignment table of x is:
In described controlled quentity controlled variable u (x, y), y Linguistic Value is { zero, just }, and domain is set to 2 grades: { 0,1 }；
Described control rule table is:
.
6. control method as claimed in claim 5 it is characterised in that
Described controlled quentity controlled variable also includes: for controlling air door executer, speed regulation module of fan, compressor clutch switch, water-heating valve
Executor's controlled quentity controlled variable.
7. control method as claimed in claim 6 is it is characterised in that before step 2, also include:
Select step, choose whether using described control method.
8. control method as claimed in claims 6 or 7 is it is characterised in that described step one includes:
Described first input variable, the second input variable are all divided 7 grades of Linguistic Value manifolds discretization, obfuscation to respective
In Linguistic Value manifold；
Described executor's controlled quentity controlled variable is divided into 7 grades of Linguistic Value manifolds and discretization, obfuscation are to described executor's controlled quentity controlled variable
In Linguistic Value manifold, described circulation pattern selection controlled quentity controlled variable is divided into 2 grades of Linguistic Value manifolds discretization, obfuscation to described
Circulation pattern selects in the Linguistic Value manifold of controlled quentity controlled variable.
9. control method as claimed in claim 8 it is characterised in that
Described step 3 adopts min-max centroid method.
10. control method as claimed in claim 9 it is characterised in that
Two grades of Linguistic Value manifolds that described circulation pattern selection control parameter divides are: { 0,1 }, wherein 0 expression makes on-board air conditioner
It is in outer circulation pattern, 1 expression makes on-board air conditioner be in interior circulation pattern.
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| CN201310442912.XA CN103542493B (en) | 2013-09-25 | 2013-09-25 | System and method for intelligent control over automobile air conditioner according to fuzzy control |
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| CN201310442912.XA CN103542493B (en) | 2013-09-25 | 2013-09-25 | System and method for intelligent control over automobile air conditioner according to fuzzy control |
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| CN103542493A CN103542493A (en) | 2014-01-29 |
| CN103542493B true CN103542493B (en) | 2017-01-25 |
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