CN107289927A - A kind of four rotor wing unmanned aerial vehicle flight position determination methods - Google Patents

A kind of four rotor wing unmanned aerial vehicle flight position determination methods Download PDF

Info

Publication number
CN107289927A
CN107289927A CN201710542485.0A CN201710542485A CN107289927A CN 107289927 A CN107289927 A CN 107289927A CN 201710542485 A CN201710542485 A CN 201710542485A CN 107289927 A CN107289927 A CN 107289927A
Authority
CN
China
Prior art keywords
unmanned plane
data
unmanned aerial
displacement
power
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.)
Granted
Application number
CN201710542485.0A
Other languages
Chinese (zh)
Other versions
CN107289927B (en
Inventor
刘大龙
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.)
Nanning University
Nanning Institute
Original Assignee
Nanning 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 Nanning Institute filed Critical Nanning Institute
Priority to CN201710542485.0A priority Critical patent/CN107289927B/en
Publication of CN107289927A publication Critical patent/CN107289927A/en
Application granted granted Critical
Publication of CN107289927B publication Critical patent/CN107289927B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/005Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 with correlation of navigation data from several sources, e.g. map or contour matching

Landscapes

  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Automation & Control Theory (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)
  • Control Of Position Or Direction (AREA)

Abstract

A kind of four rotor wing unmanned aerial vehicles flight position determination methods that the present invention is provided, comprise the following steps:1. initialize:Under no-wind environment, with four motors of any rotor wing unmanned aerial vehicle of power drive four, unmanned plane completed to rise, advanced, retreat, declining four actions, pass through the pressure sensor readings on unmanned aerial vehicle body, power of motor pressure change relation is calculated, is completed when the secondary initialization used;2. record;3. calculating benchmark displacement;4. wind direction is calculated;5. store;6. return path value.The beneficial effects of the present invention are:By way of calculating displacement based on attitude data, power of motor data and stress data, position judgment can be completed on the premise of independent of outer signals, while amount of calculation is smaller, computational efficiency is high, relatively low to the performance requirement of control chip.

Description

A kind of four rotor wing unmanned aerial vehicle flight position determination methods
Technical field
The present invention relates to a kind of four rotor wing unmanned aerial vehicles flight position determination methods.
Background technology
Position judgment for four rotor wing unmanned aerial vehicles in flight course in the prior art, typically using following three kinds of sides Formula:1st, unmanned plane position itself is obtained according to the feedback signal on unmanned plane using unmanned plane external signal device;2nd, figure is utilized As identification technology is judged;3rd, it is identified using height sensor and GPS.In mode 1, external signal installation cost compared with Height, user is difficult to receive;In mode 2, image recognition technology amount of calculation is excessive, so that needing the higher control of performance Chip just can ensure that completion is calculated, and often price is high for the higher control chip of performance, and image recognition algorithm R&D costs Also high, so necessarily causing overall R&D costs high, so as to cause product cost high, general user is also difficult to receive;Mode 3 In, GPS is largely dependent upon signal stabilization, for actual conditions, very big because signal reason is offset in many places, As in tunnel, and for example signal disturbs stronger area, so that can not many times be accurately positioned.
The content of the invention
In order to solve the above technical problems, the invention provides a kind of four rotor wing unmanned aerial vehicles flight position determination methods, this four Rotor wing unmanned aerial vehicle flight position determination methods pass through the side based on the calculating displacement of attitude data, power of motor data and stress data Formula, can complete position judgment on the premise of independent of outer signals, while amount of calculation is smaller, computational efficiency is high.
The present invention is achieved by the following technical programs.
A kind of four rotor wing unmanned aerial vehicles flight position determination methods that the present invention is provided, comprise the following steps:
1. initialize:Under no-wind environment, with four motors of any rotor wing unmanned aerial vehicle of power drive four, make unmanned plane complete Into rising, advance, retreat, declining four actions, by the pressure sensor readings on unmanned aerial vehicle body, calculate power of motor- Pressure change relation, is completed when the secondary initialization used;
2. record:During use, according to the gyroscope readings change record attitude data in unmanned plane, according to four spiral shells The motor control value record power of motor data of rotor, stress is recorded according to the pressure sensor of multiple positions on unmanned aerial vehicle body Data;
3. calculating benchmark displacement:By attitude data and power of motor data, the displacement of unmanned plane under calm condition is calculated Situation, obtains three dimensions unmanned plane displacement data;
4. wind direction is calculated:By the readings of each pressure sensor in stress data, the displacement deflection value of unmanned plane is calculated, will Displacement deflection value add to step 3. in three dimensions unmanned plane displacement data in, obtain correct three dimensions unmanned plane displacement number According to;
5. store:Obtained amendment three dimensions unmanned plane displacement data is stored in memory;
6. return path value:By the amendment three dimensions unmanned plane displacement data in memory and correspondingly obtain it is current Position is returned.
The pressure sensor is at least respectively provided with one in the top of unmanned plane, bottom, the orientation of front, rear, left and right six respectively It is individual.
The step 4. in, the displacement deflection value for calculating unmanned plane, first with power of motor-pressure change relation, ginseng According to posture and the data of power of motor in the current calculating time, the readings to pressure sensor is modified, and calculates exclusion position The windage value of changing factor is moved, and is used as using the windage value calculating benchmark of displacement deflection value.
The step 2.~5., with one of the following two kinds mode carry out:
(1) calculating in All Time is completed to each step, each step is carried out successively until step is finished;
(2) to each time point, by step 2.~5. calculate, until all time points calculate and finished.
The step is 1. middle to calculate power of motor-pressure change relation, and it is bent to calculate multi head linear equation using linear fit The mode of line.
The beneficial effects of the present invention are:By calculating displacement based on attitude data, power of motor data and stress data Mode, position judgment can be completed on the premise of independent of outer signals, while amount of calculation is smaller, computational efficiency is high, right The performance requirement of control chip is relatively low.
Embodiment
Be described further below technical scheme, but claimed scope be not limited to it is described.
The invention provides a kind of four rotor wing unmanned aerial vehicles flight position determination methods, comprise the following steps:
1. initialize:Under no-wind environment, with four motors of any rotor wing unmanned aerial vehicle of power drive four, make unmanned plane complete Into rising, advance, retreat, declining four actions, by the pressure sensor readings on unmanned aerial vehicle body, calculate power of motor- Pressure change relation, is completed when the secondary initialization used;
2. record:During use, according to the gyroscope readings change record attitude data in unmanned plane, according to four spiral shells The motor control value record power of motor data of rotor, stress is recorded according to the pressure sensor of multiple positions on unmanned aerial vehicle body Data;
3. calculating benchmark displacement:By attitude data and power of motor data, the displacement of unmanned plane under calm condition is calculated Situation, obtains three dimensions unmanned plane displacement data;
4. wind direction is calculated:By the readings of each pressure sensor in stress data, the displacement deflection value of unmanned plane is calculated, will Displacement deflection value add to step 3. in three dimensions unmanned plane displacement data in, obtain correct three dimensions unmanned plane displacement number According to;
5. store:Obtained amendment three dimensions unmanned plane displacement data is stored in memory;
6. return path value:By the amendment three dimensions unmanned plane displacement data in memory and correspondingly obtain it is current Position is returned.
As the set-up mode of pressure sensor bottom line, the pressure sensor at least respectively the top of unmanned plane, Bottom, the orientation of front, rear, left and right six are respectively provided with one.
Further, the step 4. in, the displacement deflection value for calculating unmanned plane is first become with power of motor-pressure Change relation, with reference to posture and the data of power of motor in the current calculating time, the readings to pressure sensor is modified, and is calculated Go out to exclude the windage value of change in displacement factor, and be used as using the windage value calculating benchmark of displacement deflection value.
The step 2.~5., with one of the following two kinds mode carry out:
(1) calculating in All Time is completed to each step, each step is carried out successively until step is finished;
(2) to each time point, by step 2.~5. calculate, until all time points calculate and finished.
Above two mode difference is essentially consisted in when implementing, and traversal mode is different, and should spirit according to real needs Adjustment living, is usually set to both of which, is selected by user.
Specifically, the step is 1. middle calculates power of motor-pressure change relation, and polynary one is calculated using linear fit The mode of equation of n th order n curve.

Claims (5)

1. a kind of four rotor wing unmanned aerial vehicles flight position determination methods, it is characterised in that:Comprise the following steps:
1. initialize:Under no-wind environment, with four motors of any rotor wing unmanned aerial vehicle of power drive four, complete unmanned plane Rise, advance, retreating, declining four actions, by the pressure sensor readings on unmanned aerial vehicle body, calculating power of motor-pressure Variation relation, is completed when the secondary initialization used;
2. record:During use, according to the gyroscope readings change record attitude data in unmanned plane, according to four screw wings Motor control value record power of motor data, according on unmanned aerial vehicle body multiple positions pressure sensor record stress number According to;
3. calculating benchmark displacement:By attitude data and power of motor data, the misalignment of unmanned plane under calm condition is calculated, Obtain three dimensions unmanned plane displacement data;
4. wind direction is calculated:By the readings of each pressure sensor in stress data, the displacement deflection value of unmanned plane is calculated, by displacement Tilt value add to step 3. in three dimensions unmanned plane displacement data in, obtain correct three dimensions unmanned plane displacement data;
5. store:Obtained amendment three dimensions unmanned plane displacement data is stored in memory;
6. return path value:By the amendment three dimensions unmanned plane displacement data in memory and the current location correspondingly obtained Return.
2. four rotor wing unmanned aerial vehicles flight position determination methods as claimed in claim 1, it is characterised in that:The pressure sensor At least respectively it is provided with one in the top of unmanned plane, bottom, the orientation of front, rear, left and right six respectively.
3. four rotor wing unmanned aerial vehicles flight position determination methods as claimed in claim 1, it is characterised in that:The step 4. in, Displacement deflection value for calculating unmanned plane, first with power of motor-pressure change relation, with reference to posture in the current calculating time and The data of power of motor, the readings to pressure sensor is modified, and calculates the windage value for excluding change in displacement factor, And the calculating benchmark of displacement deflection value is used as using the windage value.
4. four rotor wing unmanned aerial vehicles flight position determination methods as claimed in claim 1, it is characterised in that:The step 2.~ 5., carried out in one of the following two kinds mode:
(1) calculating in All Time is completed to each step, each step is carried out successively until step is finished;
(2) to each time point, by step 2.~5. calculate, until all time points calculate and finished.
5. four rotor wing unmanned aerial vehicles flight position determination methods as claimed in claim 1, it is characterised in that:1. the step falls into a trap Power of motor-pressure change relation is calculated, by the way of linear fit calculates multi head linear equation curve.
CN201710542485.0A 2017-07-05 2017-07-05 Method for judging flight position of quad-rotor unmanned aerial vehicle Active CN107289927B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710542485.0A CN107289927B (en) 2017-07-05 2017-07-05 Method for judging flight position of quad-rotor unmanned aerial vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710542485.0A CN107289927B (en) 2017-07-05 2017-07-05 Method for judging flight position of quad-rotor unmanned aerial vehicle

Publications (2)

Publication Number Publication Date
CN107289927A true CN107289927A (en) 2017-10-24
CN107289927B CN107289927B (en) 2020-07-21

Family

ID=60100838

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710542485.0A Active CN107289927B (en) 2017-07-05 2017-07-05 Method for judging flight position of quad-rotor unmanned aerial vehicle

Country Status (1)

Country Link
CN (1) CN107289927B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113303306A (en) * 2021-05-20 2021-08-27 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) Pesticide spraying prevention drifting method and system for pesticide spraying unmanned aerial vehicle and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102854881A (en) * 2012-09-19 2013-01-02 苏州工业园区职业技术学院 Automatic control system of unmanned aerial vehicle (UAV)
CN103135546A (en) * 2013-01-28 2013-06-05 北京航空航天大学 Unmanned aerial vehicle flying leg switching method based on leg distance and relative location vector dot product
US20130168489A1 (en) * 2012-01-04 2013-07-04 James William McIntee Roadable, Adaptable-Modular, Multiphibious-Amphibious Ground Effect or Flying, Car-Boat-Plane or Surface-Effect Motorcycle
CN105403218A (en) * 2015-12-08 2016-03-16 北京健德乾坤导航系统科技有限责任公司 Geomagnetism correction method for pitch angle of quad-rotor unmanned helicopter
CN105711847A (en) * 2016-03-12 2016-06-29 华东交通大学 Quad-rotor unmanned helicopter take-off, landing and positioning system based on laser positioning technology
CN106406353A (en) * 2016-11-16 2017-02-15 北京航空航天大学 Unmanned helicopter flight control system with fault diagnosis ability
CN106444800A (en) * 2016-08-01 2017-02-22 中国人民武装警察部队总医院 External safety control apparatus, method and system for flight of multi-rotor unmanned plane

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130168489A1 (en) * 2012-01-04 2013-07-04 James William McIntee Roadable, Adaptable-Modular, Multiphibious-Amphibious Ground Effect or Flying, Car-Boat-Plane or Surface-Effect Motorcycle
CN102854881A (en) * 2012-09-19 2013-01-02 苏州工业园区职业技术学院 Automatic control system of unmanned aerial vehicle (UAV)
CN103135546A (en) * 2013-01-28 2013-06-05 北京航空航天大学 Unmanned aerial vehicle flying leg switching method based on leg distance and relative location vector dot product
CN105403218A (en) * 2015-12-08 2016-03-16 北京健德乾坤导航系统科技有限责任公司 Geomagnetism correction method for pitch angle of quad-rotor unmanned helicopter
CN105711847A (en) * 2016-03-12 2016-06-29 华东交通大学 Quad-rotor unmanned helicopter take-off, landing and positioning system based on laser positioning technology
CN106444800A (en) * 2016-08-01 2017-02-22 中国人民武装警察部队总医院 External safety control apparatus, method and system for flight of multi-rotor unmanned plane
CN106406353A (en) * 2016-11-16 2017-02-15 北京航空航天大学 Unmanned helicopter flight control system with fault diagnosis ability

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
蒋志华: "小型无人机航路规划及自主导航算法研究", 《现代电子技术》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113303306A (en) * 2021-05-20 2021-08-27 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) Pesticide spraying prevention drifting method and system for pesticide spraying unmanned aerial vehicle and storage medium
CN113303306B (en) * 2021-05-20 2022-10-11 中国农业科学院烟草研究所(中国烟草总公司青州烟草研究所) Pesticide spraying prevention drifting method and system for pesticide spraying unmanned aerial vehicle and storage medium

Also Published As

Publication number Publication date
CN107289927B (en) 2020-07-21

Similar Documents

Publication Publication Date Title
CN107132851B (en) Unmanned aerial vehicle flight navigation control system
CN106527491B (en) A kind of fixed-wing unmanned aerial vehicle control system and horizontal crabbing method for controlling trajectory
EP3763589A1 (en) Methods, apparatuses, and media for autonomously driving vehicle
CN106970651A (en) A kind of the autonomous flight system and control method of four rotor wing unmanned aerial vehicles of view-based access control model navigation
CN105425819B (en) A kind of unmanned plane automatically tracks the method for guidance of ground target
CN107255924A (en) Method for extracting guidance information of strapdown seeker through volume Kalman filtering based on dimension expansion model
CA2886122C (en) Flight vehicle autopilot
CN104536442B (en) Underwater vehicle path planning method based on dynamic planning
EP3423709B1 (en) A method for determining a yaw position offset of a wind turbine
JP2022510418A (en) Time synchronization processing method, electronic devices and storage media
CN107289927A (en) A kind of four rotor wing unmanned aerial vehicle flight position determination methods
CN107024687B (en) Method for quickly calibrating installation error of POS/laser radar in offline manner
CN107179533A (en) A kind of airborne LiDAR systematic errors Self-checking method of multi-parameter
CN110770664A (en) Navigation path tracking control method, equipment, mobile robot and system
CN103604316A (en) Ballistic correction method for multi-bullet shooting
CN105486308A (en) Design method of fast convergence Kalman filter for estimating missile and target line-of-sight rate
CN106329399A (en) Control method of transmission line bolt fastening robot and controller
CN109613928A (en) A kind of multiplex control system and method for more vector propellers combination aerostatics
Zhao et al. Closed-loop benchmarking of stereo visual-inertial SLAM systems: Understanding the impact of drift and latency on tracking accuracy
CN105259904A (en) Longitudinal decoupling control method for multiple-control-surface unmanned aerial vehicle based on model predictive control
CN107702710A (en) A kind of more gyro gauge outfit constant value drift real-time estimation methods
CN105509748A (en) Navigation method and apparatus for robot
CN106021786A (en) Aircraft six-freedom-degree nonlinear equation set balancing method
CN111758034B (en) Wind speed determination method, system, aircraft and computer-readable storage medium
CN104154818A (en) Non-control bullet firing angle determining method

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
GR01 Patent grant
GR01 Patent grant
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20171024

Assignee: Reverse Expansion Technology (Liaoning) Co.,Ltd.

Assignor: NANNING University

Contract record no.: X2023980053202

Denomination of invention: A method for determining the flight position of quadcopter unmanned aerial vehicles

Granted publication date: 20200721

License type: Common License

Record date: 20231222

EE01 Entry into force of recordation of patent licensing contract