CN108196090A - A kind of unmanned plane Flush Airdata Sensing System - Google Patents

A kind of unmanned plane Flush Airdata Sensing System Download PDF

Info

Publication number
CN108196090A
CN108196090A CN201711448946.4A CN201711448946A CN108196090A CN 108196090 A CN108196090 A CN 108196090A CN 201711448946 A CN201711448946 A CN 201711448946A CN 108196090 A CN108196090 A CN 108196090A
Authority
CN
China
Prior art keywords
unmanned plane
pressure
differential pressure
solenoid valve
sensor
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
CN201711448946.4A
Other languages
Chinese (zh)
Inventor
陈广强
豆国辉
田川
周伟江
杨云军
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.)
China Academy of Aerospace Aerodynamics CAAA
Original Assignee
China Academy of Aerospace Aerodynamics CAAA
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 China Academy of Aerospace Aerodynamics CAAA filed Critical China Academy of Aerospace Aerodynamics CAAA
Priority to CN201711448946.4A priority Critical patent/CN108196090A/en
Publication of CN108196090A publication Critical patent/CN108196090A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00Indicating or recording presence, absence, or direction, of movement
    • G01P13/02Indicating direction only, e.g. by weather vane
    • G01P13/025Indicating direction only, e.g. by weather vane indicating air data, i.e. flight variables of an aircraft, e.g. angle of attack, side slip, shear, yaw

Landscapes

  • Engineering & Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measuring Fluid Pressure (AREA)

Abstract

A kind of unmanned plane Flush Airdata Sensing System of the present invention, including solenoid valve, pressure measurement pipeline, absolute pressure sensor, differential pressure pick-up and digital information processing system;One end connection unmanned plane of pressure measurement pipeline, the other end are divided into A roads and B roads, and A drive test pressure pipes are directly connected to absolute pressure sensor;B drive test pressure pipes are connected to solenoid valve, and differential pressure pick-up is reconnected by solenoid valve;The signal that digital information processing system acquisition absolute pressure sensor, differential pressure pick-up transmit resolves signal and is controlled the break-make of solenoid valve.Present system measuring speed range is wide, precision is high, efficient and reliability is high.

Description

A kind of unmanned plane Flush Airdata Sensing System
Technical field
The present invention relates to Flush Airdata Sensing System technology, more particularly to Flush Airdata Sensing System Design method belongs to flush airdata sensing system technical field.
Background technology
Flush airdata sensing system (Flush Air Data Sensing, FADS) system, by pressure sensor battle array Row measure the pressure distribution of aircraft surface, obtain the flights such as static pressure, Mach number, the angle of attack, yaw angle indirectly by special algorithm Atmosphere data.FADS systems are that aircraft obtains the main path that flight atmosphere data is inputted as flight control, particularly pair It is particularly important in Flying-wing's unmanned plane.
The design of FADS systems mainly includes three aspects, derivation algorithm, manometric module and solver.Low-speed unmanned aerial vehicle FADS System design key technological difficulties essentially consist in algorithm and manometric module design, and low-speed unmanned aerial vehicle system flight Mach number is usually 0.03~0.8, particularly in low mach section (Ma≤0.1), Reynolds number is low, and flow field serious interference, surface pressing accurately measures Difficulty is big.Therefore FADS system design difficulties are very big.In low mach section, since dynamic pressure is low so that unmanned plane surface pressing Change with flight incoming flow conditions very small, it is desirable that sensor accuracy higher can just pick out the variation of pressure.And in High Mach number Section, dynamic pressure is big and variation range is wide, then sensor is required to have higher range ability.Therefore existing FADS systems take into account height The requirement of low mach section flight incoming parameter measurement precision.
Invention content
The technology of the present invention solves the problems, such as:Overcome the shortcomings of existing FADS systems, it is proposed that a kind of unmanned plane is embedded Airdata sensing system, the unmanned plane during flying incoming atmospheric parameter for meeting 0.03~0.8 range of Mach number measure.
The present invention technical solution be:A kind of unmanned plane Flush Airdata Sensing System including solenoid valve, is surveyed Pressure pipe road, absolute pressure sensor, differential pressure pick-up and digital information processing system;One end connection unmanned plane of pressure measurement pipeline, it is another End is divided into A roads and B roads, and A drive test pressure pipes are directly connected to absolute pressure sensor;B drive test pressure pipes are connected to solenoid valve, pass through solenoid valve Reconnect differential pressure pick-up;The signal that digital information processing system acquisition absolute pressure sensor, differential pressure pick-up transmit, to letter Number resolved and controlled the break-make of solenoid valve.
The absolute pressure sensor encapsulation is using the box shape packing forms of " single tobacco pipe ", the differential pressure pick-up use The box shape packing forms of " double tobacco pipes ".
The absolute pressure sensor 9, transducer range be ± 20PSI, precision 0.04%.
The differential pressure pick-up 8, transducer range be ± 1PSI, precision 0.1%.
The digital information processing system uses the digital information processing system of FPGA+DSP frameworks, is responsible for acquisition by FPGA Sensor signal data is transferred to DSP, and FADS algorithms is recycled to be resolved in DSP, data are returned FPGA after the completion; FPGA judges that control is turned on and off solenoid valve according to range of Mach numbers.
Using BP neural network technology and CFD technologies, the FADS derivation algorithms based on BP neural network are established;Utilize absolute pressure The unmanned plane surface pressing data of sensor measurement, which solve, obtains flight free stream Mach number, and the range of Mach number Ma is sentenced It is disconnected;If Mach number Ma>0.2, then differential pressure pick-up pressure measurement pipeline electromagnetic valve door is closed, DSP utilizes the nothing that absolute pressure sensor measures Man-machine surface pressing data solve and obtain flight incoming parameter, data returned to FPGA, and export flight and carry out flow parameter measurement knot Fruit;If Mach number Ma≤0.2, differential pressure pick-up pressure measurement pipeline electromagnetic valve door is opened, DSP utilizes the nothing that differential pressure pick-up measures Man-machine surface pressing data solve and obtain flight incoming parameter, data returned to FPGA, and export flight and carry out flow parameter measurement knot Fruit.
The flight incoming parameter includes Mach number, static pressure, the angle of attack and yaw angle.
Encapsulation babinet is further included, encapsulation rear box size is 38.1mm × 38.1mm × 43.18mm.
The present invention compared with prior art the advantages of:
(1) present invention by using the double group sensors of absolute pressure and differential pressure and combine FADS derivation algorithms control solenoid valve according to Range of Mach numbers selection sensor group measures unmanned plane surface pressing value, effectively solves low mach section and High Mach number section air DATA REASONING.System accuracy is high, simple in structure, at low cost.
(2) FADS systematic surveys range of Mach numbers 0.03~0.8 of the present invention can meet absolute portions unmanned plane during flying speed Range is spent, and higher measurement accuracy is respectively provided in low mach section and High Mach number section.
(3) absolute pressure sensor encapsulation of the present invention uses the box shape packing forms of " single tobacco pipe ", and differential pressure pick-up is adopted With the box shape packing forms of " double tobacco pipes ".Small after encapsulation, structural strength is big.
Description of the drawings
Fig. 1 is the scale diagrams of dummy vehicle in the embodiment of the present invention;
Fig. 2 is scheme of installation of the FADS systems in unmanned plane in the embodiment of the present invention;
Fig. 3 is the system schematic of the present invention;
Fig. 4 is the triplate line connection diagram of the present invention;
Fig. 5 is the differential pressure pick-up encapsulation schematic diagram of the present invention;
Fig. 6 is the absolute pressure sensor encapsulation schematic diagram of the present invention.
Specific embodiment
By taking the unmanned plane of certain Flying-wing as an example, referring to Fig. 1 and Fig. 2, FADS systems are mounted on aircraft interior, P1 to P9 For the pressure measurement pipeline of FADS systems, load cell goes out through pressure-measuring pipe pass mounted on unmanned plane surface, using based on DSP+ The solver acquisition of FPGA frameworks measures P1~P9 pressure measurement point pressures, and it is quiet that pressure data passes through derivation algorithm calculating acquisition in DSP The flights incoming parameter such as pressure, Mach number, the angle of attack and yaw angle.Specific embodiment is as follows:
(1) in unmanned plane head surface trepanning, aperture 1mm connects pressure measurement pipeline, then is connected by threeway, by pipeline point For A roads and B roads, A drive test pressure pipes are directly connected to A group absolute pressure sensors;B roads are connected to solenoid valve, and B is reconnected by solenoid valve The differential pressure pick-up of group, as shown in Figure 3;
(2) absolute pressure sensor 9, transducer range are ± 20PSI (± 137900Pa), and precision is 0.04% (55Pa); Differential pressure pick-up 8, transducer range are ± 1PSI (± 6895Pa), and precision is 0.1% (7Pa);Totally 17 sensors, are divided into A groups-absolute pressure and B groups-differential pressure, as shown in Figure 4;
(3) digital information processing system using FPGA+DSP frameworks is acquired and resolved, is responsible for acquiring sensor by FPGA Signal data is transferred to DSP, and FADS algorithms is recycled to be resolved in DSP, data are returned FPGA after the completion.FPGA according to Range of Mach numbers judges that control is turned on and off pipeline electromagnetic valve;
(4) using BP neural network technology and CFD technologies, the FADS derivation algorithms based on BP neural network are established.Utilize A The unmanned plane surface pressing data of group sensor measurement, which solve, obtains flight free stream Mach number, and the range of Mach number Ma is carried out Judge;
(5) if Ma>0.2, then B group measuring pressure of sensor pipeline electromagnetic valves are closed, because differential pressure pick-up measures knot at this time Fruit may no to scale, if not closing B group measuring pressure of sensor pipelines, sensor unit can be damaged, B groups is caused to sense Device measures failure.DSP then utilizes the unmanned plane surface pressing data of A group sensor measurements, and pressure data is asked by FADS algorithms Solution obtains the flights incoming parameters such as Mach number, static pressure, the angle of attack and yaw angle, and data are returned FPGA, is exported and flown by RS422 Incoming parameter measurements;
(6) B group measuring pressure of sensor pipeline electromagnetic valves are then opened, at this time the low A groups sensor of measuring point pressure value in Ma≤0.2 Measuring result error is larger, can not accurately resolve and obtain incoming parameter, and the differential pressure pick-up precision of B groups is high, can accurately measure Each measuring point of fuselage and the differential pressure data on head.DSP then utilizes the unmanned plane surface pressing data of B group sensor measurements, vertex It is still measured for absolute pressure sensor, other P2~P9 are measured for differential pressure pick-up, are using vertex P1 pressure as reference, are measured other The pressure difference of P2~P9 obtains the absolute pressure of other each points by being added with vertex P1, and the pressure precision which obtains is high, very Be conducive to low mach section pressure measurement.Pressure data solves by FADS algorithms and obtains Mach number, static pressure, the angle of attack and yaw angle Flights incoming parameter is waited, data are returned into FPGA, flight incoming parameter measurements are exported by RS422;
(7) Mach number measurement range 0.03~0.8, static pressure elevation carrection 0~10km of range, the angle of attack and sideslip angular measurement model Enclose is -15 °~15 °;
(8) systematic measurement error (3 σ) is respectively:Mach number error≤0.01, static pressure error≤100Pa, angle of attack error≤ 1.5°(Ma<0.1) /≤0.5 ° (Ma >=0.1) and sideslip angle error≤1.8 ° (Ma<0.1)/≤0.5°(Ma≥0.1);
(9) absolute pressure sensor encapsulation uses the box shape packing forms of " single tobacco pipe ", and differential pressure pick-up uses " double cigarettes The box shape packing forms of bucket ", as shown in Fig. 4 and Fig. 5.It is 38.1mm × 38.1mm × 43.18mm to encapsulate rear box size, The output pipe of sensor is that internal diameter is 1mm, outer diameter 2mm.
Unspecified part of the present invention belongs to common sense well known to those skilled in the art.

Claims (8)

1. a kind of unmanned plane Flush Airdata Sensing System, it is characterised in that:It is passed including solenoid valve, pressure measurement pipeline, absolute pressure Sensor, differential pressure pick-up and digital information processing system;One end connection unmanned plane of pressure measurement pipeline, the other end are divided into A roads and B Road, A drive test pressure pipes are directly connected to absolute pressure sensor;B drive test pressure pipes are connected to solenoid valve, and reconnecting differential pressure by solenoid valve passes Sensor;The signal that digital information processing system acquisition absolute pressure sensor, differential pressure pick-up transmit, resolves simultaneously signal Control the break-make of solenoid valve.
2. a kind of unmanned plane Flush Airdata Sensing System according to claim 1, it is characterised in that:The absolute pressure passes Sensor encapsulation uses the box shape packing forms of " single tobacco pipe ", and the differential pressure pick-up is sealed using the box shape of " double tobacco pipes " Dress form.
3. a kind of unmanned plane Flush Airdata Sensing System according to claim 1, it is characterised in that:The absolute pressure passes Sensor 9, transducer range be ± 20PSI, precision 0.04%.
4. a kind of unmanned plane Flush Airdata Sensing System according to claim 1, it is characterised in that:The differential pressure passes Sensor 8, transducer range be ± 1PSI, precision 0.1%.
5. a kind of unmanned plane Flush Airdata Sensing System according to claim 1, it is characterised in that:The number letter Number processing system uses the digital information processing system of FPGA+DSP frameworks, is responsible for acquiring sensor signal data transmission by FPGA To DSP, FADS algorithms is recycled to be resolved in DSP, data are returned into FPGA after the completion;FPGA sentences according to range of Mach numbers Disconnected control is turned on and off solenoid valve.
6. a kind of unmanned plane Flush Airdata Sensing System according to claim 5, it is characterised in that:Using BP nerves Network technology and CFD technologies establish the FADS derivation algorithms based on BP neural network;The unmanned plane measured using absolute pressure sensor Surface pressing data, which solve, obtains flight free stream Mach number, and the range of Mach number Ma is judged;If Mach number Ma>0.2, Differential pressure pick-up pressure measurement pipeline electromagnetic valve door is then closed, DSP utilizes the unmanned plane surface pressing data that absolute pressure sensor measures, asks Solution obtains flight incoming parameter, data is returned to FPGA, and export flight incoming parameter measurements;If Mach number Ma≤0.2, Differential pressure pick-up pressure measurement pipeline electromagnetic valve door is then opened, DSP utilizes the unmanned plane surface pressing data that differential pressure pick-up measures, asks Solution obtains flight incoming parameter, data is returned to FPGA, and export flight incoming parameter measurements.
7. a kind of unmanned plane Flush Airdata Sensing System according to claim 6, it is characterised in that:The flight comes It flows parameter and includes Mach number, static pressure, the angle of attack and yaw angle.
8. according to a kind of arbitrary unmanned plane Flush Airdata Sensing Systems of claim 1-5, it is characterised in that:Also wrap Encapsulation babinet is included, encapsulation rear box size is 38.1mm × 38.1mm × 43.18mm.
CN201711448946.4A 2017-12-27 2017-12-27 A kind of unmanned plane Flush Airdata Sensing System Pending CN108196090A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711448946.4A CN108196090A (en) 2017-12-27 2017-12-27 A kind of unmanned plane Flush Airdata Sensing System

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711448946.4A CN108196090A (en) 2017-12-27 2017-12-27 A kind of unmanned plane Flush Airdata Sensing System

Publications (1)

Publication Number Publication Date
CN108196090A true CN108196090A (en) 2018-06-22

Family

ID=62584640

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711448946.4A Pending CN108196090A (en) 2017-12-27 2017-12-27 A kind of unmanned plane Flush Airdata Sensing System

Country Status (1)

Country Link
CN (1) CN108196090A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110987285A (en) * 2019-11-20 2020-04-10 中国航空工业集团公司沈阳飞机设计研究所 Full-embedded atmospheric data system for flying wing type airplane
CN110987287A (en) * 2019-11-20 2020-04-10 中国航空工业集团公司沈阳飞机设计研究所 Semi-embedded atmospheric data system for flying wing type airplane
CN110987284A (en) * 2019-11-20 2020-04-10 中国航空工业集团公司沈阳飞机设计研究所 High-reliability full-embedded atmospheric data system for flying wing type airplane

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6550344B2 (en) * 2001-05-04 2003-04-22 Rosemount Aerospace Inc. Semi-flush air data sensor
CN1667388A (en) * 2004-03-11 2005-09-14 株式会社电装 Gas pressure sensor
CN102607639A (en) * 2012-02-24 2012-07-25 南京航空航天大学 BP (Back Propagation) neural network-based method for measuring air data in flight state with high angle of attack
CN104318107A (en) * 2014-10-27 2015-01-28 中国运载火箭技术研究院 Method for acquiring high-precision atmosphere data of aircraft flying across atmospheric layer
CN204214587U (en) * 2014-03-31 2015-03-18 北京自动化控制设备研究所 A kind of miniaturization high precision rain glass being applied to unmanned plane
CN105301275A (en) * 2014-07-23 2016-02-03 空中客车运营简化股份公司 Method and device for estimating the mach number of an aircraft
CN106950002A (en) * 2017-02-24 2017-07-14 中国航天空气动力技术研究院 A kind of Flush Airdata Sensing System
CN107063620A (en) * 2016-12-29 2017-08-18 中国航天空气动力技术研究院 Wind-tunnel total pressure measurement transducer range automatic switching control equipment
CN206488881U (en) * 2017-02-22 2017-09-12 深圳市芯易邦电子有限公司 Baroceptor

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6550344B2 (en) * 2001-05-04 2003-04-22 Rosemount Aerospace Inc. Semi-flush air data sensor
CN1667388A (en) * 2004-03-11 2005-09-14 株式会社电装 Gas pressure sensor
CN102607639A (en) * 2012-02-24 2012-07-25 南京航空航天大学 BP (Back Propagation) neural network-based method for measuring air data in flight state with high angle of attack
CN204214587U (en) * 2014-03-31 2015-03-18 北京自动化控制设备研究所 A kind of miniaturization high precision rain glass being applied to unmanned plane
CN105301275A (en) * 2014-07-23 2016-02-03 空中客车运营简化股份公司 Method and device for estimating the mach number of an aircraft
CN104318107A (en) * 2014-10-27 2015-01-28 中国运载火箭技术研究院 Method for acquiring high-precision atmosphere data of aircraft flying across atmospheric layer
CN107063620A (en) * 2016-12-29 2017-08-18 中国航天空气动力技术研究院 Wind-tunnel total pressure measurement transducer range automatic switching control equipment
CN206488881U (en) * 2017-02-22 2017-09-12 深圳市芯易邦电子有限公司 Baroceptor
CN106950002A (en) * 2017-02-24 2017-07-14 中国航天空气动力技术研究院 A kind of Flush Airdata Sensing System

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
孟博等: "《基于神经网络的类乘波体飞行器FADS算法研究》", 《航空计算技术》 *
温瑞珩等: "《嵌入式大气数据传感技术的发展现状》", 《电光与控制》 *
郑成军: "《嵌入式大气数据传感***及其算法研究》", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110987285A (en) * 2019-11-20 2020-04-10 中国航空工业集团公司沈阳飞机设计研究所 Full-embedded atmospheric data system for flying wing type airplane
CN110987287A (en) * 2019-11-20 2020-04-10 中国航空工业集团公司沈阳飞机设计研究所 Semi-embedded atmospheric data system for flying wing type airplane
CN110987284A (en) * 2019-11-20 2020-04-10 中国航空工业集团公司沈阳飞机设计研究所 High-reliability full-embedded atmospheric data system for flying wing type airplane

Similar Documents

Publication Publication Date Title
CN108196090A (en) A kind of unmanned plane Flush Airdata Sensing System
CN102066951B (en) System and method for detecting and isolating faults in pressure sensing of flush air data system (FADS)
CN104318107B (en) A kind of high-precision atmosphere data acquisition methods of Trans-atmospheric flight aircraft
CN105136196B (en) A kind of distributed air data system of use Multi-functional probe
CN105628051B (en) A kind of embedded aeromerric moasurenont device performance appraisal procedure
CN106644365A (en) Low-speed wind tunnel thrust vector balance calibrating device
CN104155473A (en) Wind speed and wind direction sensing device
GB2432914A (en) Fault Detection In Artificial Intelligence Based Air Data Systems
CN109470401A (en) It is a kind of with meet side angle degree resolving straight rod type pitot
EP3797267B1 (en) System and method for detecting faulty pressure measurements in flush air data system using pressure patterns among adjacent ports
CN105628325A (en) Real-time high-precision acquiring method for conical surface pneumatic pressure field
EP3462178B1 (en) Low profile air data architecture
CN103759740B (en) Gyro failure autonomous diagnostic method of inspector in static state
CN105181995B (en) A kind of wind speed and direction real-time measuring device for high-altitude low-speed operations device
CN204101584U (en) Wind speed and direction sensing device
CN203745139U (en) Rapid online testing device for pressure/differential pressure transmitter
CN107907232A (en) For measuring the temperature pressure combinations probe of turbomachinery interior flow field
CN216593526U (en) Novel dual-redundancy atmospheric data system
CN104359416A (en) Online detection device and method for thermal deformation of autoclave technological mould
CN105628333B (en) A kind of pneumatic error under the conditions of high-altitude High Mach number determines method
CN106596036A (en) Low-speed wind tunnel thrust vector test&#39;s stagnation pressure measuring device
CN204240982U (en) A kind of digital barometric altimeter
CN207248413U (en) A kind of pneumatic microspur instrument of sub-micrometer precision based on MEMS pressure sensor
CN111157759B (en) Fixed differential pressure type attack angle sensor and use method
CN112649622A (en) Pressure sensing probe and fixed-wing aircraft atmospheric data system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20180622