CN101881979A - Fuzzy control system and method for humidity of airliner cabin - Google Patents

Fuzzy control system and method for humidity of airliner cabin Download PDF

Info

Publication number
CN101881979A
CN101881979A CN2010102231159A CN201010223115A CN101881979A CN 101881979 A CN101881979 A CN 101881979A CN 2010102231159 A CN2010102231159 A CN 2010102231159A CN 201010223115 A CN201010223115 A CN 201010223115A CN 101881979 A CN101881979 A CN 101881979A
Authority
CN
China
Prior art keywords
humidity
cabin
fuzzy
air
airliner
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN2010102231159A
Other languages
Chinese (zh)
Inventor
郭栋才
杨波
解立垚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CN2010102231159A priority Critical patent/CN101881979A/en
Publication of CN101881979A publication Critical patent/CN101881979A/en
Pending legal-status Critical Current

Links

Images

Landscapes

  • Air Conditioning Control Device (AREA)

Abstract

The invention relates to the field of industrial process control, in particular to a fuzzy control system and a fuzzy control method for the humidity of an airliner cabin. The fuzzy control system comprises a humidity detector, an amplifier, a comparer, a differentiator, a fuzzy controller, a water supply valve and an air inlet valve. In the control method, by utilizing the fuzzy control rule, humidifying capacity and fresh air are amplified by the amplifier and then the amplified control signals are output to the water supply valve and an exhaust valve respectively, so the effective control on the humidity of the airliner cabin is realized. The system and the method ensures that a machine can complete the automatic control instead of human, convert fuzzy language into numerical operation, and can ensure that the control system has excellent adaptivity.

Description

A kind of humidity of airliner cabin Fuzzy control system and method thereof
Technical field
The present invention relates to field that industrial process is controlled, particularly a kind of Fuzzy control system and method thereof that is applied to humidity of airliner cabin.
Background technology
At present, generally all more than 10km, on this height, the air water capacity is very little for the cruising altitude of large-scale passenger plane, if do not carry out humidification, humidity also can become very low in the aircraft cabin.
Medical research shows that low humidity can cause the mucous membrane drying, causes nasal cavity dryness, throat to be done and symptom such as trachoma.In addition, many medical personnels think that humidity is low also can to cause the people easily infected.But the influence of low humidity is not to embody immediately, generally occurs in 3-4 after individual hour, and increases along with the increase of flight time.Therefore, on the passenger plane of long-time flight, need to carry out humidification, guarantee that humidity is in the human body tolerance range in the cabin.
Existing humidity of airliner cabin control method is to realize according to the open amount that the error of passenger cabin humidity and set-point is regulated the water supply valve, and water spray increases passenger cabin humidity among the Xiang Xinfeng.Just simply the needs of humidity simply being controlled of such control method do not considered the influence to passenger cabin humidity of humidity rate of change and resh air requirement, therefore, constantly can not get a desired effect at some.
Summary of the invention
The objective of the invention is to overcome the deficiencies in the prior art, a kind of self-adaptive fuzzy control system and method thereof are provided.This method has increased humidity rate of change and resh air requirement to the influence of passenger cabin humidity, utilizes new regulation to design controller, then these fuzzy languages is converted into numerical operation, and can guarantees that control system has the good adaptive ability.
In order to solve the problems of the technologies described above, the present invention is achieved by the following technical solutions:
A kind of humidity of airliner cabin Fuzzy control system, comprise hygrosensor, amplifier, comparer, differentiator, fuzzy controller, water supply valve, air inlet valve, described hygrosensor is arranged in the airliner cabin, link to each other the output terminal output humidity deviation signal of comparer with comparator input terminal; The output terminal of described comparer links to each other successively with the input end of differentiator, amplifier and fuzzy controller, and the output terminal of fuzzy controller is connected with air inlet valve with the water supply valve respectively by amplifier.
To humidity of airliner cabin fuzzy control method of the present invention is to utilize fuzzy control rule to carry out following steps:
(A) at first detect passenger cabin humidity, export the humidity deviation signal of identical preset signals by comparer by hygrosensor;
(B) described humidity deviation signal is by differentiator output humidity rate of change signal;
(C) described humidity deviation signal and humidity rate of change signal are imported fuzzy controller through behind the amplifier jointly;
(D) described fuzzy controller carries out obfuscation to input signal, draws fuzzy value according to fuzzy rule;
(E) described fuzzy controller carries out defuzzification according to the fuzzy value that draws to output signal, obtains humidification amount and resh air requirement;
(F) humidification amount and resh air requirement are realized the effective control to humidity of airliner cabin by the amplifier control signal after the output of water supply valve and exhaust valve is amplified respectively.
Further, in step C, humidity deviation signal and humidity rate of change signal be error e and the error rate through producing behind the amplifier jointly
Figure BSA00000182045600021
Be input to Fuzzy control system after multiply by certain quantizing factor.
Further, in step e, the humidification amount is L, and resh air requirement is q M, h, be input to Fuzzy control system after multiply by certain quantizing factor.
Further, obtaining machine according to fuzzy rule in step D sits the wetting balance equation of air in the cabin and is:
Figure BSA00000182045600022
Wherein m is the quality of air in the cabin; q M, hBe resh air requirement; q M, rBe air circulation; d cBe air water capacity in the cabin; d hBe air water capacity out of my cabin; d xFor circulation return air water capacity, with d cEquate; W is the total moisture dispersed amount of personnel in the cabin; Water capacity P is a soft air pressure, p qBe partial pressure of water vapor;
Partial pressure of water vapor p qA1 to A3 determines in the following manner:
( A 1 ) , p n = p 0 ( 1 - h 44330 ) g αR
In troposphere (0-11km), atmospheric pressure being changed to: p out of my cabin with height h 0Press for surface air, be taken as 101325pa; G is an acceleration of gravity, is 9.81m/s 2Dry air gas law constant R=287J/ (kgK); α is the year-round average temperature lapse rate, 0.065 ℃/m;
( A 2 ) , E = 0.008 1 + at p q
E is an absolute humidity; T is a temperature, ℃; A is the temperature expansion coefficient of water vapour, and its value equals 0.00366;
(A3)t h＝t 0-αh
Atmospheric temperature being changed to: the t out of my cabin in the troposphere with height h 0Be surface temperature; α is the lapse-rate of air temperature.
More specifically, in steps A 1 to A3, the partial pressure of water vapor p that obtains qWith synthermal saturated vapor partial pressure p down Q, bRatio form relative humidity
p Q, bBe the function of temperature t, determine by following experimental formula:
p q , b = 602.4 × 10 7.45 t 235 + t
The unit of t is ℃.
For airliner cabin pressure, get following pressure regime:
p c = p h + 1 M ( p 0 - p h )
M is the supercharging rate, preferably is taken as 1.5.
The invention has the beneficial effects as follows:
Passenger cabin humidity rate of change and resh air requirement size are taken into account, make passenger cabin humidity, humidity rate of change with the equation that obtains between humidification amount, the resh air requirement, adopted the method summary of the fuzzy control rule that becomes to make new advances, and utilize these Rule Design to go out controller, then these fuzzy languages are converted into numerical operation, thereby realize that machine replaces the people to finish automatic control, is converted into numerical operation with these fuzzy languages, and can guarantees that control system has the good adaptive ability.
Description of drawings
Fig. 1 is the one-piece construction synoptic diagram of humidity of airliner cabin Fuzzy control system of the present invention;
Fig. 2 is the control principle synoptic diagram of fuzzy controller of the present invention;
Fig. 3 is the subordinate function figure of error e;
Fig. 4 is the subordinate function figure of error rate c;
Fig. 5 is the subordinate function figure of controlled quentity controlled variable q;
Fig. 6 is the subordinate function figure of controlled quentity controlled variable L;
Fig. 7 is the simulation result figure under the humidification situation not;
Fig. 8 is the simulation result figure under the humidification situation.
Embodiment
Reach technological means and the effect that predetermined purpose is taked for further setting forth the present invention,, be described in detail as follows below in conjunction with accompanying drawing and preferred embodiment.
As shown in Figure 1, a kind of humidity of airliner cabin Fuzzy control system, comprise hygrosensor, amplifier, comparer, differentiator, fuzzy controller, water supply valve, air inlet valve, described hygrosensor is arranged in the airliner cabin, link to each other the output terminal output humidity deviation signal of comparer with comparator input terminal; The output terminal of described comparer links to each other successively with the input end of differentiator, amplifier and fuzzy controller, and the output terminal of fuzzy controller is connected with air inlet valve with the water supply valve respectively by amplifier.
As shown in Figure 2, a kind of humidity of airliner cabin fuzzy control method comprises the following steps of utilizing fuzzy control rule that humidity in the support cabin is controlled:
(A) at first detect passenger cabin humidity, export the humidity deviation signal of identical preset signals by comparer by hygrosensor;
(B) described humidity deviation signal is by differentiator output humidity rate of change signal;
(C) described humidity deviation signal and humidity rate of change signal are imported fuzzy controller through behind the amplifier jointly;
(D) described fuzzy controller carries out obfuscation to input signal, draws fuzzy value according to fuzzy rule;
(E) described fuzzy controller carries out defuzzification according to the fuzzy value that draws to output signal, obtains humidification amount and resh air requirement;
(F) humidification amount and resh air requirement are realized the effective control to humidity of airliner cabin by the amplifier control signal after the output of water supply valve and exhaust valve is amplified respectively.
As shown in Figure 3 and Figure 4, humidity deviation signal and humidity rate of change signal pass through error e and the error rate that produces behind the amplifier jointly in the described step (C)
Figure BSA00000182045600051
Be input to Fuzzy control system after multiply by certain quantizing factor.The humidification amount is L in the described step (E), and resh air requirement is q M, h, be input to Fuzzy control system after multiply by certain quantizing factor.
As shown in Figure 5 and Figure 6, identical fuzzy control rule is measured in two controls, the following fuzzy control rule table of reference:
The method of ambiguity solution adopts gravity model appoach among the described step D.
According to the humidity deviation signal and the humidity rate of change signal of input, the subordinate function figure by separately draws corresponding blurred signal and blurred signal weights respectively.Is 0.2 to fuzzy controller such as the input of deviation after amplifying, and it is that zero-sum is just little through the signal of obfuscation so as can be seen from Figure 1, and weights are respectively 0.4 and 0.6.Be converted into the obfuscation signal of output signal then through fuzzy rule, the method that usefulness is separated center of gravity draws value accurately on the subordinate function figure of humidification amount and resh air requirement, through amplifying the output as system.
The wetting balance equation that obtains air in the machine seat cabin according to fuzzy rule is:
Wherein m is the quality of air in the cabin; q M, hBe resh air requirement; q M, rBe air circulation; d cBe air water capacity in the cabin; d hBe air water capacity out of my cabin; d xFor circulation return air water capacity, with d cEquate; W is the total moisture dispersed amount of personnel in the cabin; Water capacity
Figure BSA00000182045600061
P is a soft air pressure, p qBe partial pressure of water vapor;
Partial pressure of water vapor p qA1 to A3 determines in the following manner:
( A 1 ) , p n = p 0 ( 1 - h 44330 ) g αR
In troposphere (0-11km), atmospheric pressure being changed to: p out of my cabin with height h 0Press for surface air, be taken as 101325pa; G is an acceleration of gravity, is 9.81m/s 2Dry air gas law constant R=287J/ (kgK); α is the year-round average temperature lapse rate, 0.065 ℃/m;
( A 2 ) , E = 0.008 1 + at p q
E is an absolute humidity; T is a temperature, ℃; A is the temperature expansion coefficient of water vapour, and its value equals 0.00366;
(A3)t h＝t 0-αh
Atmospheric temperature being changed to: the t out of my cabin in the troposphere with height h 0Be surface temperature; α is the lapse-rate of air temperature.
The partial pressure of water vapor p that in steps A 1 to A3, obtains qWith synthermal saturated vapor partial pressure p down Q, bRatio form relative humidity
Figure BSA00000182045600064
p Q, bBe the function of temperature t, determine by following experimental formula:
p q , b = 602.4 × 10 7.45 t 235 + t
The unit of t is ℃.
For airliner cabin pressure, get following pressure regime:
p c = p h + 1 M ( p 0 - p h )
M is the supercharging rate, preferably is taken as 1.5 in the present embodiment.
As shown in Figure 6 and Figure 7, for verifying the feasibility of this method, the passenger cabin moisture control system is carried out emulation.
Shown in the following tabulation 2, the flight envelope of certain passenger plane:
Figure BSA00000182045600071
Cruise time surpasses 4 hours, need carry out humidification to passenger cabin.With surface temperature is 35 ℃, and relative humidity is that 10% xeothermic situation is that example is analyzed, and makes that temperature is all the time at 25 ℃ in the cabin, and simulation result as shown in Figure 6.
After using the passenger cabin humidification system of fuzzy control, simulation result can make passenger cabin relative humidity stable remaining in the desirable scope in the process of cruising, and satisfy humidity requirement in whole flight envelope process as shown in Figure 7.
Obviously the foregoing description is not a limitation of the present invention, and above-mentioned a kind of humidity of airliner cabin Fuzzy control system and method thereof can also have other many variations.Though gone through the present invention in conjunction with above-mentioned example, some that should be understood that professional person in the industry can expect apparently are identical, and alternative scheme is within the protection domain that all falls into claim of the present invention and limited.

Claims (6)

1. humidity of airliner cabin Fuzzy control system, it is characterized in that, comprise hygrosensor, amplifier, comparer, differentiator, fuzzy controller, water supply valve, air inlet valve, described hygrosensor is arranged in the airliner cabin, link to each other the output terminal output humidity deviation signal of comparer with comparator input terminal; The output terminal of described comparer links to each other successively with the input end of differentiator, amplifier and fuzzy controller, and the output terminal of fuzzy controller is connected with air inlet valve with the water supply valve respectively by amplifier.
2. a humidity of airliner cabin fuzzy control method is characterized in that, comprises the following steps of utilizing fuzzy control rule that humidity in the support cabin is controlled:
(A) at first detect passenger cabin humidity, export the humidity deviation signal of identical preset signals by comparer by hygrosensor;
(B) described humidity deviation signal is by differentiator output humidity rate of change signal;
(C) described humidity deviation signal and humidity rate of change signal are imported fuzzy controller through behind the amplifier jointly;
(D) described fuzzy controller carries out obfuscation to input signal, draws fuzzy value according to fuzzy rule;
(E) described fuzzy controller carries out defuzzification according to the fuzzy value that draws to output signal, obtains humidification amount and resh air requirement;
(F) humidification amount and resh air requirement are realized the effective control to humidity of airliner cabin by the amplifier control signal after the output of water supply valve and exhaust valve is amplified respectively.
3. humidity of airliner cabin fuzzy control method according to claim 2 is characterized in that, middle humidity deviation signal of described step (C) and humidity rate of change signal be error e and the error rate through producing behind the amplifier jointly Be input to Fuzzy control system after multiply by certain quantizing factor.
4. humidity of airliner cabin fuzzy control method according to claim 3 is characterized in that, the humidification amount is L in the described step (E), and resh air requirement is q M, h, be input to Fuzzy control system after multiply by certain quantizing factor.
5. humidity of airliner cabin fuzzy control method according to claim 4 is characterized in that, the wetting balance equation that obtains air in the machine seat cabin in step (D) according to fuzzy rule is:
Figure FSA00000182045500012
Wherein m is the quality of air in the cabin; q M, h, be resh air requirement; q M, rBe air circulation; d cBe air water capacity in the cabin; d hBe air water capacity out of my cabin; d xFor circulation return air water capacity, with d cEquate; W is the total moisture dispersed amount of personnel in the cabin; Water capacity
Figure FSA00000182045500021
P is a soft air pressure, p qBe partial pressure of water vapor;
Partial pressure of water vapor p qA1 to A3 determines in the following manner:
( A 1 ) , p n = p 0 ( 1 - h 44330 ) g αR
In troposphere (0-11km), atmospheric pressure being changed to: p out of my cabin with height h 0Press for surface air, be taken as 101325pa; G is an acceleration of gravity, is 9.81m/s 2Dry air gas law constant R=287J/ (kgK); α is the year-round average temperature lapse rate, 0.065 ℃/m;
( A 2 ) , E = 0.008 1 + at p q
E is an absolute humidity; T is a temperature, ℃; A is the temperature expansion coefficient of water vapour, and its value equals 0.00366;
(A3)t h＝t 0-αh
Atmospheric temperature being changed to: the t out of my cabin in the troposphere with height h 0Be surface temperature; α is the lapse-rate of air temperature.
6. humidity of airliner cabin fuzzy control method according to claim 5 is characterized in that, the partial pressure of water vapor p that obtains in steps A 1 to A3 qWith synthermal saturated vapor partial pressure p down Q, bRatio form relative humidity
p Q, bBe the function of temperature t, determine by following experimental formula:
p q , b = 602.4 × 10 7.45 t 235 + t
The unit of t is ℃.
CN2010102231159A 2010-07-12 2010-07-12 Fuzzy control system and method for humidity of airliner cabin Pending CN101881979A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010102231159A CN101881979A (en) 2010-07-12 2010-07-12 Fuzzy control system and method for humidity of airliner cabin

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2010102231159A CN101881979A (en) 2010-07-12 2010-07-12 Fuzzy control system and method for humidity of airliner cabin

Publications (1)

Publication Number Publication Date
CN101881979A true CN101881979A (en) 2010-11-10

Family

ID=43054011

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2010102231159A Pending CN101881979A (en) 2010-07-12 2010-07-12 Fuzzy control system and method for humidity of airliner cabin

Country Status (1)

Country Link
CN (1) CN101881979A (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102385399A (en) * 2011-09-14 2012-03-21 中国航空工业集团公司西安飞机设计研究所 Humidity control system of cabin
CN103365216A (en) * 2013-07-12 2013-10-23 天津大学 Semi-transparent simulation experiment platform of large passenger plane cabin environment
CN104381097A (en) * 2014-11-21 2015-03-04 无锡悟莘科技有限公司 Fuzzy control irrigation system
CN104719100A (en) * 2014-11-21 2015-06-24 无锡悟莘科技有限公司 Fuzzy control irrigation method
CN108388284A (en) * 2018-02-14 2018-08-10 安徽工大信息技术有限公司 A kind of humidity control method of dehumidifying antiseepage equipment

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102385399A (en) * 2011-09-14 2012-03-21 中国航空工业集团公司西安飞机设计研究所 Humidity control system of cabin
CN102385399B (en) * 2011-09-14 2014-03-19 中国航空工业集团公司西安飞机设计研究所 Humidity control system of cabin
CN103365216A (en) * 2013-07-12 2013-10-23 天津大学 Semi-transparent simulation experiment platform of large passenger plane cabin environment
CN103365216B (en) * 2013-07-12 2015-11-25 天津大学 A kind of translucent airliner cabin ambient Simulation Experimental Platform
CN104381097A (en) * 2014-11-21 2015-03-04 无锡悟莘科技有限公司 Fuzzy control irrigation system
CN104719100A (en) * 2014-11-21 2015-06-24 无锡悟莘科技有限公司 Fuzzy control irrigation method
CN108388284A (en) * 2018-02-14 2018-08-10 安徽工大信息技术有限公司 A kind of humidity control method of dehumidifying antiseepage equipment
CN108388284B (en) * 2018-02-14 2020-07-24 安徽工大信息技术有限公司 Humidity control method of dehumidification seepage-proofing equipment

Similar Documents

Publication Publication Date Title
CN101881979A (en) Fuzzy control system and method for humidity of airliner cabin
CN103577706B (en) The control parameter of digital controller of Cabin Pressure Control System determines method
CN106023768B (en) A kind of novel thermal manikin system
CN103630363B (en) Test method and test device for simulating high altitude ignition ability of turbine engine
CN104540734B (en) Pilot's oxygen machine occur
CN202263271U (en) Respiratory pressure fuzzy control type respirator
EP1924495A4 (en) Modular articulated-wing aircraft
CN103201172B (en) With wing and the aircraft that makes system that the impact of flow instabilities state minimizes
CN101887267B (en) Mach number controller in wind tunnel
CN103028170A (en) Breathing pressure fuzzy control type respirator and breathing pressure fuzzy control method
CN108279126B (en) Method and system for determining on-orbit electric propulsion flow based on ground flow test data
CN107917824A (en) A kind of low pressure in minienvironment cabin adjusts the method for sampling and device
CN109292097A (en) Aircraft air condition flow control system
CN101916121B (en) Gas flow control method
CN201626832U (en) Membrane separation nitrogen generating equipment enabling gas circulation and temperature control in tobacco leaf gas-tight silo
Vermillion et al. Development and full-scale experimental validation of a rapid prototyping environment for plant and control design of airborne wind energy systems
Chen et al. A novel environmental control system facilitating humidification for commercial aircraft
Wang et al. A differential mobility analyzer (DMA) system for submicron aerosol measurements at ambient relative humidity
CN110940527B (en) Plateau environment simulated air intake and exhaust system of automobile engine
US11577841B2 (en) Environmental control system
JPS59172021A (en) Oxygen partial pressure controller
CN201532300U (en) Airplane passenger oxygen regulator testing device
CN113567095B (en) Oxygen supply performance test device of oxygen mask for airplane
CN105372285B (en) The experimental provision of body surface heat transfer characteristic is plunderred outside a kind of measurement low density gas
CN114229032A (en) Ground test bed for windshield heating system of aircraft cockpit

Legal Events

Date Code Title Description
C06 Publication
DD01 Delivery of document by public notice

Addressee: Guo Dongcai

Document name: Notification of Passing Preliminary Examination of the Application for Invention

PB01 Publication
DD01 Delivery of document by public notice

Addressee: Guo Dongcai

Document name: Notification that Application Deemed to be Withdrawn

C02 Deemed withdrawal of patent application after publication (patent law 2001)
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20101110