Movatterモバイル変換


[0]ホーム

URL:


CN111504341B - Helicopter flight state identification method - Google Patents

Helicopter flight state identification method
Download PDF

Info

Publication number
CN111504341B
CN111504341BCN202010363879.1ACN202010363879ACN111504341BCN 111504341 BCN111504341 BCN 111504341BCN 202010363879 ACN202010363879 ACN 202010363879ACN 111504341 BCN111504341 BCN 111504341B
Authority
CN
China
Prior art keywords
helicopter
flight
state
speed
flight state
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.)
Active
Application number
CN202010363879.1A
Other languages
Chinese (zh)
Other versions
CN111504341A (en
Inventor
张云鹤
邱良军
徐爽
李�杰
孟胜学
陈瑞
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 Helicopter Research and Development Institute
Original Assignee
China Helicopter Research and Development Institute
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 Helicopter Research and Development InstitutefiledCriticalChina Helicopter Research and Development Institute
Priority to CN202010363879.1ApriorityCriticalpatent/CN111504341B/en
Publication of CN111504341ApublicationCriticalpatent/CN111504341A/en
Application grantedgrantedCritical
Publication of CN111504341BpublicationCriticalpatent/CN111504341B/en
Activelegal-statusCriticalCurrent
Anticipated expirationlegal-statusCritical

Links

Classifications

Landscapes

Abstract

The invention belongs to the technical field of helicopter flight state identification, and relates to a helicopter flight state identification method; the helicopter flight state identification method utilizes a flight state identification logic tree to judge the flight state of the helicopter, and the flight state identification logic tree utilizes the following flight parameters to judge in real time: pressure altitude, atmospheric temperature, indicated airspeed, GPS north speed, GPS east speed, magnetic heading angle, ground altitude, ground zero point, roll angle, engine torque, number of engines, vertical overload. Based on the identification method provided by the invention for displaying the state, different flight states are displayed through different ground colors, so that a user can conveniently and quickly identify the flight state of the helicopter, and the method has the advantages of real time, accuracy, convenience and the like.

Description

Helicopter flight state identification method
Technical Field
The invention belongs to the technical field of helicopter flight state identification, and particularly relates to a helicopter flight state identification method.
Background
The identification of the flight state of the helicopter is very important to the analysis of helicopter test flight data, helicopter fault diagnosis and life prediction. The existing published documents have the defects of poor recognition effect and the like caused by higher input dimension, complex calculation process and difficult convergence of a network model, which are caused by a dynamic method, an image analysis method, a neural network method and a flight state recognition method based on a support vector machine.
The invention designs a helicopter flight state identification device, which is used for identifying each flight state of a helicopter based on a flight state identification logic tree, and displaying identification results through different ground colors.
Disclosure of Invention
The purpose of the invention is that: a helicopter flight state identification method is designed to solve the technical problems of higher input dimension and complex calculation process in the existing identification method.
In order to solve the technical problem, the technical scheme of the invention is as follows:
the helicopter flight state identification method is characterized in that the helicopter flight state identification method utilizes a flight state identification logic tree to judge the flight state of a helicopter, and the flight state identification logic tree utilizes the following flight parameters to judge in real time: pressure altitude, atmospheric temperature, indicated airspeed, GPS north speed, GPS east speed, magnetic heading angle, ground altitude, ground zero point, roll angle, engine torque, number of engines, vertical overload.
The helicopter flight state identification method specifically comprises the following steps:
step one, judging whether the ground state is an air flight or not according to the ground clearance;
judging AEO, OEI and autorotation states of the helicopter according to the engine torque and the number of engines;
step three, judging whether the helicopter is in a hovering state or a flying state according to the GPS horizontal speed;
if the helicopter is in a hovering state, judging the pointing change rate of the machine head and the change rate of the ground clearance height, and judging whether the helicopter is hovering maneuver or hovering with/without ground effect;
if the vehicle is in a flying state, entering a fourth step;
judging whether the helicopter is in a forward flight state, a left side flight state, a right side flight state or a rear flight state according to the GPS horizontal speed and the magnetic heading angle;
if the helicopter is in a forward flight state, entering a step five;
fifthly, judging whether the helicopter is in a stable flight or a maneuvering flight state through vertical overload;
if the helicopter is in a stable flight state, entering a step six;
step six, judging whether the helicopter is in a flat flight, climbing or descending state according to the pressure altitude change rate;
if the helicopter is in a flat flight state, entering a step seven;
step seven, judging whether the helicopter is in an accelerating state, a decelerating state or a constant-speed flat flight state according to the flat flight speed change rate;
if the speed is in the constant speed flat flight state, entering a step eight;
and step eight, judging whether the helicopter is in a flat flight turning state or a stable flat flight state according to the roll angle.
The specific judging process in the first step is as follows:
and deducting the ground clearance point to obtain the actual ground clearance height through the measured ground clearance height of the helicopter, and judging whether the helicopter is lifted off the ground according to whether the actual ground clearance height is greater than 0.
And step three, the GPS horizontal speed is calculated by the GPS north speed and the GPS east speed.
And thirdly, calculating the pointing change rate and the ground clearance height change rate of the machine head through a magnetic heading angle and a pressure height.
And step seven, the flat flying speed change rate is obtained through calculation of a vacuum speed.
The vacuum speed is calculated by indicating airspeed, atmospheric static temperature and pressure altitude.
In another implementation, the ground clearance height may be replaced with a pressure height, and a corresponding ground clearance zero point initial value is set.
Preferably, the helicopter ground clearance in step one is measured by a radio altimeter or a laser altimeter.
The beneficial effects of the invention are as follows:
the helicopter flight state identification method can be used for identifying helicopter flight parameter data, selecting test flight data and the like, and a user can quickly position a required data segment according to the flight state identification result, so that convenience and rapidness are realized; the actual service condition of each helicopter is counted by analyzing the time duty ratio of each flight state of the helicopter, and accurate data sources are provided for the residual life evaluation and maintenance guarantee plan of each part of the helicopter.
The helicopter flight state recognition method based on the invention can develop a recognition device, based on flight test data recorded on the helicopter, the flight state of the helicopter is judged in real time through the flight state recognition logic tree, and the helicopter flight state is displayed through different ground colors, so that a user can conveniently and quickly recognize the flight state of the helicopter, and the helicopter flight state recognition method based on the invention has the advantages of real time, accuracy, convenience and the like.
Drawings
In order to more clearly illustrate the technical solution of the implementation of the present invention, the following description will briefly explain the drawings that need to be used in the examples of the present invention. It is evident that the drawings described below are only some embodiments of the invention and that other drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a logic diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without making any inventive effort are intended to fall within the scope of the present invention.
Features of various aspects of embodiments of the invention are described in detail below. In the following detailed description, numerous specific details are set forth in order to provide a thorough understanding of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced without these specific details. The following description of the embodiments is merely for a better understanding of the invention by showing examples of the invention. The present invention is not limited to any particular arrangement and method provided below, but covers any modifications, substitutions, etc. of all product constructions, methods, and the like covered without departing from the spirit of the invention.
Well-known structures and techniques have not been shown in detail in the various drawings and the following description in order not to unnecessarily obscure the present invention. Table 1 below is a table of the flight status of a helicopter, wherein the different status shows different status ground colors on the dashboard.
TABLE 1
Sequence numberFlight statusStatus ground color
1Ground stateBlack color
2With/without ground effect hoverBlue light
3Hover maneuverWater green
4Fly to the left and rightRed colour
5Reverse flyingRed colour
6Climbing upYellow colour
7Descent downOrange with a color of white
8Fly flat turningGreen, green
9Acceleration and deceleration plane flyPink red
10Stabilize plane and flyBlue-green
11Flying maneuverRed colour
12OEI flightRed colour
13Self-rotationRed colour
As shown in fig. 1, which is a logic diagram of the helicopter flight status recognition method of the invention, the flight status recognition logic tree performs real-time judgment by using the following flight parameters: pressure altitude, atmospheric temperature, indicated airspeed, GPS north speed, GPS east speed, magnetic heading angle, ground altitude, ground zero point, roll angle, engine torque, number of engines, vertical overload. Table 2 below shows the status recognition parameters of the helicopter flight records required for the recognition method of the present invention,
TABLE 2
The method for real-time judgment by utilizing the identification logic tree comprises the following specific steps:
step one, judging whether the ground state is an air flight or not according to the ground clearance;
the ground clearance of the helicopter measured by the radio high-speed instrument or the laser altimeter is deducted to obtain the actual ground clearance, whether the helicopter is lifted off or not is judged by judging whether the actual ground clearance is larger than 0, and whether the helicopter is lifted down or not when flying flatly or hovering near the ground is also judged. Pressure altitude substitution may be used in the absence of ground altitude data, but a corresponding ground zero point needs to be set.
Judging AEO, OEI and autorotation states of the helicopter according to the engine torque and the number of engines;
and judging whether each engine torque is greater than a certain threshold value or not to judge whether the engine is in a normal working state or a failure state. If the torque of each engine is greater than a certain threshold value, the helicopter is in an AEO flight state; if the torque value of one engine is smaller than or equal to a certain threshold value, the helicopter is in an OEI flight state; if the torque values of all the engines are smaller than or equal to a certain threshold value, the helicopter is in a autorotation state;
step three, judging whether the helicopter is in a hovering state or a flying state according to the GPS horizontal speed;
if the helicopter is in a hovering state, judging the pointing change rate of the machine head and the change rate of the ground clearance height, and judging whether the helicopter is hovering maneuver or hovering with/without ground effect;
the GPS horizontal speed is obtained by calculating the GPS north speed and the GPS east speed; the machine head pointing change rate and the ground clearance change rate are obtained through calculation of a magnetic heading angle and the ground clearance.
The machine head pointing change rate is obtained through differential calculation of a magnetic heading angle; the change rate of the ground clearance is obtained through differential calculation of the ground clearance. If the machine head pointing change rate is less than or equal to a certain threshold value and the ground clearance height change rate is less than or equal to a certain threshold value, the machine head is hovered with or without ground effect, otherwise, the machine head is hovering maneuver.
If the vehicle is in a flying state, entering a fourth step;
judging whether the helicopter is in a forward flight state, a left side flight state, a right side flight state or a rear flight state according to the GPS horizontal speed and the magnetic heading angle;
if the helicopter is in a forward flight state, entering a step five;
fifthly, judging whether the helicopter is in a stable flight or a maneuvering flight state through vertical overload;
if the helicopter is in a stable flight state, entering a step six;
step six, judging whether the helicopter is in a flat flight, climbing or descending state according to the pressure altitude change rate;
if the helicopter is in a flat flight state, entering a step seven;
step seven, judging whether the helicopter is in an accelerating state, a decelerating state or a constant-speed flat flight state according to the flat flight speed change rate;
the flat flying speed change rate is obtained through vacuum speed calculation. The vacuum velocity is calculated by indicating airspeed, atmospheric static temperature, and pressure altitude. The flat fly rate of change is calculated by vacuum velocity differential,where k and b are obtained by airspeed calibration pilot runs. Rate of change of speed if level>A certain threshold value 1, the helicopter is in an acceleration state; rate of change of speed if level<A certain threshold value 2, the helicopter is in a deceleration state; if the change rate of the speed of the flat flight is less than or equal to a certain threshold value 2 and less than or equal to a certain threshold value 1, the helicopter is in a constant-speed flat flight state.
If the speed is in the constant speed flat flight state, entering a step eight;
and step eight, judging whether the helicopter is in a flat flight turning state or a stable flat flight state according to the roll angle.
In the method, the pressure height can be used for replacing the ground clearance height, and the initial value of the ground clearance zero point corresponding to the pressure height is set.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think about various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered in the scope of the present invention.

Claims (6)

CN202010363879.1A2020-04-302020-04-30Helicopter flight state identification methodActiveCN111504341B (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN202010363879.1ACN111504341B (en)2020-04-302020-04-30Helicopter flight state identification method

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN202010363879.1ACN111504341B (en)2020-04-302020-04-30Helicopter flight state identification method

Publications (2)

Publication NumberPublication Date
CN111504341A CN111504341A (en)2020-08-07
CN111504341Btrue CN111504341B (en)2023-09-19

Family

ID=71869752

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN202010363879.1AActiveCN111504341B (en)2020-04-302020-04-30Helicopter flight state identification method

Country Status (1)

CountryLink
CN (1)CN111504341B (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN112489074B (en)*2020-11-302024-09-17北航(四川)西部国际创新港科技有限公司Unmanned aerial vehicle behavior pattern classification method based on motion characteristics
CN113076510A (en)*2021-04-122021-07-06南昌航空大学Helicopter flight state identification method based on one-dimensional convolutional neural network
CN113450599B (en)*2021-05-312022-12-23北京军懋国兴科技股份有限公司Flight action real-time identification method
CN115599138B (en)*2022-09-192024-12-13成都飞机工业(集团)有限责任公司 A method of indicating airspeed control based on speed differential signal

Citations (22)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
EP0150122A2 (en)*1984-01-241985-07-31Honeywell Inc.Cruise airspeed control of aircraft during altitude capture
CA2457992A1 (en)*2003-02-212004-08-21Robert Alan HessMethod of inferring rotorcraft gross weight
CN101681160A (en)*2007-06-152010-03-24空中客车运作股份公司Maintenance computer system for aircraft
CN101853531A (en)*2010-05-252010-10-06北京航空航天大学 Helicopter Flight Status Recognition Method Based on Pre-classification Technology and RBF Neural Network
CN102607639A (en)*2012-02-242012-07-25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
CN103869383A (en)*2014-03-202014-06-18西安电子科技大学Atmosphere data computer based on Kalman filtering algorithm and implementing method of atmosphere data computer
CN104391364A (en)*2014-11-262015-03-04深圳市鸣鑫航空科技有限公司Optical cable laying based coaxial double-rotor-wing unmanned helicopter parameter identification test system
US9043043B1 (en)*2011-09-232015-05-26Rockwell Collins, Inc.Autonomous flight controls for providing safe mode navigation
CN104932519A (en)*2015-05-252015-09-23北京航空航天大学Unmanned aerial vehicle flight command auxiliary decision-making system based on expert knowledge and design method thereof
US9500498B1 (en)*2012-06-052016-11-22Rockwell Collins, Inc.Dynamic primary flight display annunciations
CN106197424A (en)*2016-06-282016-12-07哈尔滨工业大学The unmanned plane during flying state identification method that telemetry drives
CN106548534A (en)*2015-08-212017-03-29波音公司For reporting the method and apparatus of the status information of aircraft
CN106681344A (en)*2016-12-262017-05-17湖南纳雷科技有限公司Height control method and height control system for aerial vehicle
CN108045589A (en)*2017-12-012018-05-18中国直升机设计研究所A kind of helicopter VNE alarm methods
CN108106633A (en)*2017-11-292018-06-01中国直升机设计研究所A kind of lifting airscrew kinematic parameter calculation method based on UTD
CN108646785A (en)*2018-06-222018-10-12西安飞机工业(集团)有限责任公司A kind of flight director sys tem and improved method of aircraft
CN109240327A (en)*2018-09-112019-01-18陕西千山航空电子有限责任公司A kind of fixed wing aircraft mission phase recognition methods
CN109839123A (en)*2017-11-282019-06-04上海航空电器有限公司Forward sight predicts real-time mobility determination method for parameter in warning technology
CN110032200A (en)*2019-04-192019-07-19成都飞机工业(集团)有限责任公司A kind of modeling method for Capability Maturity Model of taking a flight test
CN110262466A (en)*2019-07-112019-09-20电子科技大学A kind of winged control fault detection and diagnosis method based on random forest
CN209535459U (en)*2018-12-302019-10-25河南雷盛航空科技有限公司The good unmanned plane of balance quality
CN110807471A (en)*2019-10-122020-02-18深圳大学 A behavior recognition system and recognition method of a multimodal sensor

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
US8948936B2 (en)*2004-11-082015-02-03Textron Innovations Inc.Vehicle management system using finite state machines
US8310378B2 (en)*2008-10-202012-11-13Honeywell International Inc.Method and apparatus for displaying prioritized photo realistic features on a synthetic vision system
US20100152923A1 (en)*2008-12-122010-06-17Aspen Sven DDynamic display of navigational information
FR2951005B1 (en)*2009-10-022012-08-03Thales Sa METHOD AND DEVICE FOR AIDING THE FLIGHT MANAGEMENT OF AN AIRCRAFT RECEIVING CONTROL CLAIRANCE
DE102012001268A1 (en)*2012-01-232013-07-25Airbus Operations Gmbh A method for planning a landing approach of an aircraft, computer program product, medium with a landing approach plan stored thereon and device for planning a landing approach

Patent Citations (22)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
EP0150122A2 (en)*1984-01-241985-07-31Honeywell Inc.Cruise airspeed control of aircraft during altitude capture
CA2457992A1 (en)*2003-02-212004-08-21Robert Alan HessMethod of inferring rotorcraft gross weight
CN101681160A (en)*2007-06-152010-03-24空中客车运作股份公司Maintenance computer system for aircraft
CN101853531A (en)*2010-05-252010-10-06北京航空航天大学 Helicopter Flight Status Recognition Method Based on Pre-classification Technology and RBF Neural Network
US9043043B1 (en)*2011-09-232015-05-26Rockwell Collins, Inc.Autonomous flight controls for providing safe mode navigation
CN102607639A (en)*2012-02-242012-07-25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
US9500498B1 (en)*2012-06-052016-11-22Rockwell Collins, Inc.Dynamic primary flight display annunciations
CN103869383A (en)*2014-03-202014-06-18西安电子科技大学Atmosphere data computer based on Kalman filtering algorithm and implementing method of atmosphere data computer
CN104391364A (en)*2014-11-262015-03-04深圳市鸣鑫航空科技有限公司Optical cable laying based coaxial double-rotor-wing unmanned helicopter parameter identification test system
CN104932519A (en)*2015-05-252015-09-23北京航空航天大学Unmanned aerial vehicle flight command auxiliary decision-making system based on expert knowledge and design method thereof
CN106548534A (en)*2015-08-212017-03-29波音公司For reporting the method and apparatus of the status information of aircraft
CN106197424A (en)*2016-06-282016-12-07哈尔滨工业大学The unmanned plane during flying state identification method that telemetry drives
CN106681344A (en)*2016-12-262017-05-17湖南纳雷科技有限公司Height control method and height control system for aerial vehicle
CN109839123A (en)*2017-11-282019-06-04上海航空电器有限公司Forward sight predicts real-time mobility determination method for parameter in warning technology
CN108106633A (en)*2017-11-292018-06-01中国直升机设计研究所A kind of lifting airscrew kinematic parameter calculation method based on UTD
CN108045589A (en)*2017-12-012018-05-18中国直升机设计研究所A kind of helicopter VNE alarm methods
CN108646785A (en)*2018-06-222018-10-12西安飞机工业(集团)有限责任公司A kind of flight director sys tem and improved method of aircraft
CN109240327A (en)*2018-09-112019-01-18陕西千山航空电子有限责任公司A kind of fixed wing aircraft mission phase recognition methods
CN209535459U (en)*2018-12-302019-10-25河南雷盛航空科技有限公司The good unmanned plane of balance quality
CN110032200A (en)*2019-04-192019-07-19成都飞机工业(集团)有限责任公司A kind of modeling method for Capability Maturity Model of taking a flight test
CN110262466A (en)*2019-07-112019-09-20电子科技大学A kind of winged control fault detection and diagnosis method based on random forest
CN110807471A (en)*2019-10-122020-02-18深圳大学 A behavior recognition system and recognition method of a multimodal sensor

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
基于DGPS的非稳态条件下空速校准方法全部;屈飞舟;《全球定位系统》;59-62*
无人直升机飞行性能试飞方法研究;黄启斌;《中国战略新兴产业》;80-83*
李军亮.基于Elman 网络的某型直升机飞行状态识别.《火力与指挥控制》.2015,第40卷(第12期),57-60.*
王锦盛.基于机器学习的直升机飞行状态识别技术研究.《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》.2018,(第1期),C031-192.*
直升机高度-速度包线试飞方法;李令;《中国科技信息》;33-35*

Also Published As

Publication numberPublication date
CN111504341A (en)2020-08-07

Similar Documents

PublicationPublication DateTitle
CN111504341B (en)Helicopter flight state identification method
CN111177851B (en)Assessment method for ground risk in unmanned aerial vehicle operation safety risk assessment
US8204637B1 (en)Aircraft approach to landing analysis method
CN111123966B (en)Method for judging flight phase based on airborne ground proximity warning system
CN113777623B (en)Prediction and alarm method for airplane wake threat area
EP2163849A2 (en)Methods and systems for indicating fuel required to reach a location
CN105518763B (en)Aircraft navigation information generation device and aircraft navigation information generating method
CN112257152A (en)Civil aircraft flight phase identification method based on airborne data
CN101527089A (en)Topographic data based ground proximity method and system thereof
Smart et al.A two-phase method of detecting abnormalities in aircraft flight data and ranking their impact on individual flights
CN112257151A (en)Aircraft flight staging identification system
CN111062093B (en) A method for predicting the life of automobile tires based on image processing and machine learning
CN110901897A (en)Early warning separation control method for vortex ring state of unmanned helicopter
CN113627798A (en) A Quantitative Evaluation Method of Control Effectiveness for High-altitude Route Flight
Hook et al.How digital safety systems could revolutionize aviation safety
CN110794854A (en)Autonomous take-off and landing method for fixed-wing unmanned aerial vehicle
CN119360471B (en) A visual management system for UAV routes
CN114398769B (en)Automatic scoring acquisition method for unmanned helicopter flight control system
Jiang et al.Research on the flight anomaly detection during take-off phase based on FOQA data
CN118736904A (en) A civil aircraft stability assessment method based on real-time flight parameters
CN116415818B (en)Method and system for confirming risk points in aircraft approach stage based on clustering algorithm
CN113110558B (en) A method for forecasting power demand of hybrid propulsion UAV
CN112668089B (en)Method for evaluating steady-state and transition-state performance of each system under maneuvering action of fighter plane
CN114399694B (en) A pre-flight detection method, device and equipment based on aircraft component status recognition
CN109164512A (en)A kind of aeronautical meteorology information issuing method and system based on GIS

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination
GR01Patent grant
GR01Patent grant

[8]ページ先頭

©2009-2025 Movatter.jp