CN106094849A - Four-rotor aircraft control system and control method for farm autonomous management - Google Patents
Four-rotor aircraft control system and control method for farm autonomous management Download PDFInfo
- Publication number
- CN106094849A CN106094849A CN201610436351.6A CN201610436351A CN106094849A CN 106094849 A CN106094849 A CN 106094849A CN 201610436351 A CN201610436351 A CN 201610436351A CN 106094849 A CN106094849 A CN 106094849A
- Authority
- CN
- China
- Prior art keywords
- pid
- quadrotor
- embedded microcontroller
- target
- farm
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000005540 biological transmission Effects 0.000 claims description 9
- 230000009187 flying Effects 0.000 claims description 8
- 238000006073 displacement reaction Methods 0.000 claims description 5
- 238000005259 measurement Methods 0.000 claims description 5
- 238000001914 filtration Methods 0.000 claims description 4
- 239000002245 particle Substances 0.000 claims description 4
- 230000001133 acceleration Effects 0.000 claims description 3
- 230000010339 dilation Effects 0.000 claims description 3
- 230000003628 erosive effect Effects 0.000 claims description 3
- 238000000605 extraction Methods 0.000 claims description 3
- 230000004927 fusion Effects 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 230000000638 stimulation Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 6
- 238000007726 management method Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 5
- 230000009545 invasion Effects 0.000 description 5
- 239000011159 matrix material Substances 0.000 description 5
- NCGICGYLBXGBGN-UHFFFAOYSA-N 3-morpholin-4-yl-1-oxa-3-azonia-2-azanidacyclopent-3-en-5-imine;hydrochloride Chemical compound Cl.[N-]1OC(=N)C=[N+]1N1CCOCC1 NCGICGYLBXGBGN-UHFFFAOYSA-N 0.000 description 2
- RZVHIXYEVGDQDX-UHFFFAOYSA-N 9,10-anthraquinone Chemical compound C1=CC=C2C(=O)C3=CC=CC=C3C(=O)C2=C1 RZVHIXYEVGDQDX-UHFFFAOYSA-N 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000002604 ultrasonography Methods 0.000 description 2
- WYTGDNHDOZPMIW-RCBQFDQVSA-N alstonine Natural products C1=CC2=C3C=CC=CC3=NC2=C2N1C[C@H]1[C@H](C)OC=C(C(=O)OC)[C@H]1C2 WYTGDNHDOZPMIW-RCBQFDQVSA-N 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 230000002045 lasting effect Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/08—Control of attitude, i.e. control of roll, pitch, or yaw
- G05D1/0808—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/10—Simultaneous control of position or course in three dimensions
- G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
Abstract
The present invention relates to a kind of four-rotor aircraft control system for farm autonomous management and control method, the scope on operation farm and setting invader's information are sent quadrotor by GPRS network by intelligent mobile terminal, quadrotor obtains position, region of search by the GPS module carried and performs aerial mission, and utilizing the voice module carried to play stimulates sound wave to threaten setting invader.In task process, quadrotor gathers view data and wireless is sent to ground control centre, ground control centre by image procossing obtain quadrotor real time position and with the relative attitude data of invader, by GPRS network, flight guiding data are delivered to quadrotor be allowed to close to invader and play stimulation sound wave, until invader expels operation farm scope.In the case of realizing non-intervention, identify, follow the tracks of and expel the birds being hidden under crop.Can be widely used for large-scale farm, airport etc. and need automatically to drive the scene of the invaders such as birds.
Description
Technical field
The present invention relates to a kind of control system, control particularly to a kind of quadrotor for farm autonomous management
System and control method.
Background technology
Along with science and technology and social development, traditional agriculture is just accelerating transition, forms farm of certain scale in the future.Greatly
There is the phenomenon of the animal such as birds, domestic animal " invasion destroys " in type farm, salary earner carries out inspection every day and there is cost height, patrols
Ablepsia point is many, make an inspection tour the shortcomings such as cycle length.Therefore, quadrotor is used to replace manually being monitored, go on patrol, intervene and driving
By, it is achieved farm is non-intervenes the inexorable trend that management is modern agricultural development.At present, domestic this type of patent that there is no discloses.
Summary of the invention
The present invention be directed to the problem of bird damage crop present in farm, it is proposed that a kind of manage independently for farm
Four-rotor aircraft control system and control method, identify in the case of being used for realizing non-intervention, follow the tracks of and expulsion is hidden in work
Birds under thing.
The technical scheme is that a kind of four-rotor aircraft control system for farm autonomous management, including four
Rotor craft and remotely control subsystem, flight subsystem, detects and expels subsystem to be contained on quadrotor,
Flight subsystem includes embedded microcontroller, the 2 pairs of propeller motors, GPRS network, GPS module and inertia measurement list
Unit, detects and expels subsystem to include photographic head, voice module and 5.8GHz image transmission module, remotely controls subsystem and includes
Image receiver module, ground control centre and intelligent mobile terminal;
The scope on operation farm and setting invader's information are sent four rotor flyings by GPRS network by intelligent mobile terminal
Embedded microcontroller in device, the view data of camera collection uses wireless transmission method by 5.8GHz image transmission module
Sending, image receiver module deliver to ground control centre after receiving, ground control centre obtains four rotors by image procossing
Flight guiding data are delivered to four rotations by GPRS network by the real time position of aircraft and the relative attitude data of setting invader
Rotor aircraft, in quadrotor, embedded microcontroller controls 2 and propeller motor carries out flight guiding, four rotor flyings
Device obtains position, region of search by GPS module and send embedded microcontroller, and the embedded microcontroller number of delivering letters is to detecting and drives
By subsystem, controlling photographic head and be acquired image, controlling voice module broadcasting stimulates sound wave to threaten setting invader;
Inertial Measurement Unit measures acceleration and angular velocity send embedded microcontroller, and embedded microcontroller is according to filtering
Carry out attitude fusion after processing with attitude algorithm and export PWM ripple to motor, in the way of this controls the rotating speed of four motors
Changing the attitude of four rotors, ultrasonic signal send embedded microcontroller, and embedded microcontroller is according to ultrasonic ranging principle
Control the aircraft flying height when searching for target.
Described embedded microcontroller uses the double cas PID control of two-layer to carry out target following, position PID as outer shroud,
Attitude PID is internal ring, and control object is motor speed, it is desirable to position is that ground control centre is according to the video data meter received
The flight calculated and send guides data, comprises tracked target and the horizontal displacement of quadrotor, phase under world coordinate system
Hope that position and physical location feedback signal difference send outer shroud PID, outer shroud PID output to send attitude PID, appearance after comparing with current pose
State PID is output as following the tracks of signal, and then changes the attitude of four rotors self by controlling the rotating speed of four motors, it is achieved to mesh
Target is followed the tracks of continuously.
Described embedded microcontroller uses the double cas PID control of two-layer to carry out operation domain search, and position PID is as outward
Ring, highly PID are as internal ring, and region of search center point coordinate is as desired locations, it is desirable to position is moved with physical location feedback signal
Difference send outer shroud PID, outer shroud PID output to send height PID, highly PID to be output as search and track signal, no after comparing with present level
Disconnected correction quadrotor attitude, progressively close to desired locations.
Described ground control centre is identified setting invader and tracking comprises the steps of
1.: quadrotor airborne camera collection image also wirelessly sends;
2.: the earth station PC end software obtaining step of remote control center video image 1.;
3.: carry out image procossing, it is achieved feature point extraction and the characteristic matching to image;
4.: target recognition, frame difference method is utilized to extract moving target and carry out binaryzation and dilation erosion process;
5.: target following, particle filter algorithm is used with strong tracking Kalman filter algorithm, target to be tracked;
6.: by GPRS network, step tracking coordinate 5. is sent to embedded microcontroller;
7.: embedded microcontroller receiving step data 6. also control the rotating speed of motor to change attitude, thus to fortune
Dynamic target is followed the tracks of continuously.
The beneficial effects of the present invention is: the present invention is used for four-rotor aircraft control system and the control of farm autonomous management
Method processed, can identify, follows the tracks of and expel " invaders " such as farm birds to include the birds being hidden under crop, whole work automatically
Process is without manual operation intervention.Largely save human cost and time, there is preferable practicality and convenience.
Can be widely used for large-scale farm, airport etc. and need automatically to drive the scene of " invaders " such as birds.
Accompanying drawing explanation
Fig. 1 is the four-rotor aircraft control system structural representation that the present invention manages independently for farm;
Fig. 2 is the target following PID controller schematic diagram that aircraft of the present invention uses when following the tracks of target;
Fig. 3 is quadrotor gesture stability PID controller schematic diagram of the present invention;
Fig. 4 is photographic head perspective imaging model figure of the present invention;
Fig. 5 is the operation domain search PID controller schematic diagram that aircraft of the present invention uses when operation domain search target;
Fig. 6 is the flow chart that target is identified and follows the tracks of by earth station of the present invention PC end.
Detailed description of the invention
As shown in Figure 1 for the four-rotor aircraft control system structural representation of farm autonomous management, including four rotors
Aircraft and remotely control subsystem, flight subsystem, detects and expels subsystem to be contained on quadrotor, flight
Control subsystem and include that embedded microcontroller (flight control center), the 2 pairs of propellers, GPRS network, GPS module and inertia are surveyed
Amount unit, detects and expels subsystem to include photographic head, voice module and 5.8GHz image transmission module, remotely control subsystem
Including image receiver module, ground control centre and intelligent mobile terminal, wherein, described flight subsystem completes four rotors
The aerial statue of aircraft controls, flight guides and searching position controls, and described detecting and expulsion subsystem are for " invader "
Finding, follow the trail of and expel, described long-range control subsystem is that user side controls equipment, determines the scope on operation farm for user
And remotely control quadrotor operation process.Inertial Measurement Unit measures acceleration and angular velocity send embedded microcontroller
Device, embedded microcontroller carries out attitude fusion and exports PWM ripple to motor, with this after processing according to filtering and attitude algorithm
Control 2 changes the attitude of four rotors to the mode of the rotating speed of four motors of propeller, and ultrasonic signal send embedded microcontroller,
Embedded microcontroller controls the aircraft flying height when searching for target according to ultrasonic ranging principle.
In such scheme, described flight subsystem utilizes and uses two-layer tandem closed loop control method to realize institute
State the control of 2 pairs of propeller motors, it is achieved stablizing of flight attitude;The view data of described camera collection is by described
5.8GHz image transmission module uses wireless transmission method that image is delivered to described ground control centre, described ground control centre
By image procossing obtain described quadrotor real time position and with the relative attitude data of " invader ", and pass through
Flight guiding data are delivered to described quadrotor and are carried out flight guiding by GPRS network;Described quadrotor utilizes
GPS module obtains current search position, and utilization determines next one region of search, farm.
In such scheme, described detecting and expulsion subsystem utilize described ground control station to described camera collection
View data process, the birds such as Passeris montani saturati " invader " are identified, and, send out to affiliated flight control system through GPRS
Sending and utilizing described voice module to play stimulates sound wave to threaten " invader ", reaches to expel effect.
In such scheme, intelligent mobile terminal by the scope on operation farm and sets invader's information by GPRS network
Quadrotor in quadrotor, the described subsystem that remotely controls is sent to utilize described intelligent mobile phone terminal on map
Determining the scope on operation farm, and initiating task task, described quadrotor starts and flies to appointment after reception task
Farm, in operation process, described intelligent mobile phone terminal may utilize GPRS network and sends four rotor flyings described in order remote interrupt
The task of device is also maked a return voyage.
In such scheme, described quadrotor, operation domain search, " invasion " identify and follow the tracks of and expulsion process
Automatically carry out, it is not necessary to human intervention and manipulation.
In such scheme, described operation domain search method, including following step:
1, described quadrotor arrives behind operation farm, according to the task data stored, including treating operation farm
Shape and area data, carry out Optimal calculation, determine number and the geographical coordinate position of region of search central point of region of search;
2, use described carry-on ultrasonic sensor, set its flying height as away from crop 50 centimeters;
3, described aircraft prepares flight, and arrives first region of search central point;
4, obtain described camera image information and be sent to ground control station in real time, starting described voice module playback merit
Can, send stimulation sound wave and realize expelling effect in advance;
If 5 have the moving objects such as Passeris montani saturati to fly out, by ground control station identification, " invasion " method for tracking target is used to carry out
Following the tracks of, whole playback process lasts till that tracked target exceedes border, farm;
6, step 2~5 is repeated until search procedure covers whole operation territory.
In such scheme, described " invasion " method for tracking target, including following step:
1, ground control station receives image information;
2, target is tracked by target tracking algorism based on particle filter and Kalman filtering, and predict target next
The secondary position being likely to occur;
3, send flight by GPRS network and guide data, comprise the tracked target expectation angle of pitch and roll angle;
4, the data that aircraft receiving step 4 sends, are consisted of target following PID controller and attitude PID controller
Two-layer cascade controller constantly revise the attitude of aircraft;
5, above step is repeated, until target leaves border, farm.
Fig. 2 is the target following PID controller schematic diagram that aircraft uses when following the tracks of target, and target following PID controls
Device is made up of the double cascade controller of two-layer, and position PID is as outer shroud, and attitude PID is that internal ring together constitutes target following control
Device, it is desirable to position is that ground control centre guides data (to contain according to the flight that the video data calculating and sending received is sent
Tracked target and the horizontal displacement of four rotors under world coordinate system), it is desirable to position is passed through with physical location feedback signal moment
Send internal ring attitude PID after outer shroud PID, after comparing with current pose, send attitude PID, attitude PID to be output as following the tracks of signal, attitude control
Applying angular velocity in system as internal ring, angle is as the cas PID control of outer shroud.
Fig. 3 is quadrotor gesture stability PID controller schematic diagram, and this PID controller is by the double serials control of two-layer
Device forms, and angle PID is as outer shroud, and angular velocity PID is internal ring.Expect that attitude angle is tried to achieve according to formula (4), (5).
Fig. 4 is photographic head perspective imaging model, according to the conversion relational expression between world coordinate system and camera coordinate system
With photo-geometry knowledge, target horizontal relative displacement coordinate between the location of pixels and target and aircraft of the plane of delineation becomes
Change formula:
Wherein, x, y are horizontal displacement (target is to the distance of aircraft on two dimensional surface), and h is for be measured by ultrasound
Aircraft present level, β is the angle of pitch of photographic head, and θ is the angle between image line and camera lens optical axis, (ui, vi) it is picture
Vegetarian refreshments position in plane of delineation coordinate system, (u0, v0) it is the zero in image pixel coordinates system.If each pixel
It is u=[u that physical size in x-axis with y-axis is respectively dx and dy, position PID expectation inputx uy uz]T, then through position
PID calculates to be had:
Wherein, θd, γd, ΨdIt is respectively attitude PID expectation input attitude angle (angle of pitch, roll angle, yaw angle), h0For u
Distance to initial point.
Then obtain attitude PID expectation attitude angle θdAnd γd:
γd=sin-1[(ux sinψd-uy cosψd)/h0] (4)
θd=sin-1[(uxcosψd-uysinψd)(cosγd)0.5/h0] (5)
Fig. 5 is the operation domain search PID controller schematic diagram that aircraft uses when operation domain search target, and operation territory is searched
Rope PID controller is made up of cascade controller, and position PID is as outer shroud, and highly PID together constitutes operation territory as internal ring and searches
Rope controller.Region of search center point coordinate is as desired locations, after PID controller, constantly revises attitude of flight vehicle so that it is
Progressively close to desired locations.
Using operation domain search method when scanning for the birds etc. being hidden under crop, the method mainly includes following
Several steps:
Step is 1.: uses ultrasonic wave module range finding (in the present embodiment, ultrasonic wave module model is HC-SR04), utilizes formula
S=(EhC)/2, in formula, s is for measuring distance (m), EhFor high level lasting time, (persistent period of high level is exactly ultrasound wave
Time from being transmitted into return), c is the velocity of sound (340m/s), controls the aircraft flying height when searching for target;
Step is 2.: assuming first that the square s that farm is rule, its length of side is m, is uniformly divided into n region of search (n11, n12,
n13...), represent with A matrix:
In formula, n=N2。
Step is 3.: this region square is made up of a series of, and its length of side is m/n.Owing to detecting in each region one by one
The substantial amounts of time can be wasted and the energy content of battery carried of four rotors is limited, it is contemplated that the environmental change of periphery is compared by birds etc.
Sensitivity, as long as therefore disturbing at a zone line, then influences whether the region on both sides.Concretely comprise the following steps:
(1) boundary point is rejected, actual search matrix A °:
In formula, u is uncertainty node, nij(i=2,3,4 ..., j=2,4,6 ...) it is the region unit divided;
(2) searching matrix s is simplifiedA:
(3) serpentine arrangement the most from top to bottom, extracts matrix S respectivelyAElement.
With n22Search step is described in detail as a example by this point.
From matrix S1It can be seen that n22Have impact on four points of periphery, use symbolRepresent.If appointed in these four points
Anticipate and find target at one, then expel.Owing to birds have group activity behavior, certain region has activity to influence whether other
The activity of region birds, thus be excluded that some n11、n13、n31、n33.Scan for target in this approach, be therefore actually needed detection
Region can be reduced to N2/9.Hypothesis district n12There is expulsion target (P1), then four rotors arrive region n12At effective depth, now
Four rotor hoverings, are approximately fixed point.Then blow a whistle interference, utilize frame difference method to region n12Detect.If there being expulsion mesh
Mark (P1) fly out, mobile object can be detected, it is tracked until this target leaves S region, to prevent (P1) flee from n12
Again arrive nij(i ≠ 1, j ≠ 2);If being now not detected by (P1), then continue n44Scan for, repeat above step,
After complete the search in whole S territory.
Fig. 6 is the flow chart that target is identified and follows the tracks of by center, ground PC end, should " invasion " method for tracking target bag
Contain following steps:
Step is 1.: air craft carried camera collection image also wirelessly sends;
Step is 2.: the earth station PC end software of remote control center obtains video image 1.;
Step is 3.: carry out image procossing, it is achieved feature point extraction and the characteristic matching to image;
Step is 4.: target recognition, utilizes frame difference method to extract moving target and carries out binaryzation and dilation erosion processes;
Step is 5.: target following, uses particle filter algorithm to be tracked target with strong tracking Kalman filter algorithm;
Step is 6.: by GPRS, tracking coordinate 5. is sent to embedded microcontroller;
Step is 7.: embedded microcontroller receives data 6. and controls the rotating speed of motor to change attitude, thus to fortune
Dynamic target is followed the tracks of continuously.
Claims (4)
1. the four-rotor aircraft control system for farm autonomous management, it is characterised in that include quadrotor
Remotely controlling subsystem, flight subsystem, detect and expel subsystem to be contained on quadrotor, flight controls son
System includes embedded microcontroller, the 2 pairs of propeller motors, GPRS network, GPS module and Inertial Measurement Unit, detects and drives
Include photographic head, voice module and 5.8GHz image transmission module by subsystem, remotely control subsystem and include image-receptive mould
Block, ground control centre and intelligent mobile terminal;
The scope on operation farm and setting invader's information are sent in quadrotor by intelligent mobile terminal by GPRS network
Embedded microcontroller, the view data of camera collection uses wireless transmission method to send by 5.8GHz image transmission module
Going out, image receiver module deliver to ground control centre after receiving, ground control centre obtains four rotors by image procossing and flies
Flight guiding data are delivered to four rotors by GPRS network by the real time position of row device and the relative attitude data of setting invader
Aircraft, in quadrotor, embedded microcontroller controls 2 and propeller motor carries out flight guiding, quadrotor
Obtain position, region of search by GPS module and send embedded microcontroller, the embedded microcontroller number of delivering letters to detecting and expulsion
Subsystem, controls photographic head and is acquired image, and controlling voice module broadcasting stimulates sound wave to threaten setting invader;
Inertial Measurement Unit measures acceleration and angular velocity send embedded microcontroller, and embedded microcontroller is according to filtering and appearance
State resolving carries out attitude fusion and exports PWM ripple to motor after processing, change in the way of this controls the rotating speed of four motors
The attitude of four rotors, ultrasonic signal send embedded microcontroller, and embedded microcontroller controls according to ultrasonic ranging principle
The aircraft flying height when searching for target.
The control method of the four-rotor aircraft control system managed independently for farm the most according to claim 1, it is special
Levying and be, described embedded microcontroller uses the double cas PID control of two-layer to carry out target following, and position PID is as outer shroud, appearance
State PID is internal ring, and control object is motor speed, it is desirable to position is that ground control centre calculates according to the video data received
And the flight sent guides data, comprise tracked target and the horizontal displacement of quadrotor under world coordinate system, it is desirable to
Position and physical location feedback signal difference send outer shroud PID, outer shroud PID output to send attitude PID, attitude after comparing with current pose
PID is output as following the tracks of signal, and then changes the attitude of four rotors self by controlling the rotating speed of four motors, it is achieved to target
Continuous tracking.
State the control method of the four-rotor aircraft control system managed independently for farm the most according to claim 1, its
Being characterised by, described embedded microcontroller uses the double cas PID control of two-layer to carry out operation domain search, and position PID is as outward
Ring, highly PID are as internal ring, and region of search center point coordinate is as desired locations, it is desirable to position is moved with physical location feedback signal
Difference send outer shroud PID, outer shroud PID output to send height PID, highly PID to be output as search and track signal, no after comparing with present level
Disconnected correction quadrotor attitude, progressively close to desired locations.
State the control method of the four-rotor aircraft control system managed independently for farm the most according to claim 1, its
Being characterised by, described ground control centre is identified setting invader and tracking comprises the steps of
1.: quadrotor airborne camera collection image also wirelessly sends;
2.: the earth station PC end software obtaining step of remote control center video image 1.;
3.: carry out image procossing, it is achieved feature point extraction and the characteristic matching to image;
4.: target recognition, frame difference method is utilized to extract moving target and carry out binaryzation and dilation erosion process;
5.: target following, particle filter algorithm is used with strong tracking Kalman filter algorithm, target to be tracked;
6.: by GPRS network, step tracking coordinate 5. is sent to embedded microcontroller;
7.: embedded microcontroller receiving step data 6. also control the rotating speed of motor to change attitude, thus to motion
Target is followed the tracks of continuously.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610436351.6A CN106094849A (en) | 2016-06-17 | 2016-06-17 | Four-rotor aircraft control system and control method for farm autonomous management |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610436351.6A CN106094849A (en) | 2016-06-17 | 2016-06-17 | Four-rotor aircraft control system and control method for farm autonomous management |
Publications (1)
Publication Number | Publication Date |
---|---|
CN106094849A true CN106094849A (en) | 2016-11-09 |
Family
ID=57236502
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610436351.6A Pending CN106094849A (en) | 2016-06-17 | 2016-06-17 | Four-rotor aircraft control system and control method for farm autonomous management |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106094849A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106791684A (en) * | 2016-12-31 | 2017-05-31 | 深圳市乐信兴业科技有限公司 | Electronic equipment tracking and relevant apparatus and system and mobile terminal |
CN106843257A (en) * | 2017-04-07 | 2017-06-13 | 深圳蚁石科技有限公司 | A kind of autocontrol method of aircraft |
CN107102640A (en) * | 2017-04-26 | 2017-08-29 | 安阳全丰航空植保科技股份有限公司 | A kind of agricultural unmanned plane dispenser safety control system |
CN108227724A (en) * | 2016-12-13 | 2018-06-29 | 中国科学院沈阳自动化研究所 | A kind of detection and guidance integral system based on Intelligent mobile equipment |
CN108965234A (en) * | 2017-05-19 | 2018-12-07 | 罗伯特·博世有限公司 | Method for protecting network to prevent network attack |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101990886A (en) * | 2009-08-18 | 2011-03-30 | 陈绍勇 | Device system for expelling birds, and catching and killing acridid and insect pests in airport by using toy helicopter |
CN202406908U (en) * | 2011-12-19 | 2012-09-05 | 青特集团有限公司 | Novel bird repelling electronic control system |
CN102999049A (en) * | 2012-11-09 | 2013-03-27 | 国家电网公司 | Remote control polling aircraft for overhead lines |
CN103365297A (en) * | 2013-06-29 | 2013-10-23 | 天津大学 | Optical flow-based four-rotor unmanned aerial vehicle flight control method |
CN103853156A (en) * | 2014-02-07 | 2014-06-11 | 中山大学 | Small four-rotor aircraft control system and method based on airborne sensor |
CN104035412A (en) * | 2014-06-12 | 2014-09-10 | 江苏恒创软件有限公司 | Crop diseases and pest monitoring system and method based on unmanned plane |
CN104186458A (en) * | 2014-08-11 | 2014-12-10 | 江苏恒创软件有限公司 | Orchard bird trouble prevention and treatment method based on unmanned aerial vehicle |
DE202014009166U1 (en) * | 2014-11-19 | 2014-12-22 | Florian Franzen | Largely autonomous drone (UAV helicopter drone) to repel birds and bats in the vicinity of wind turbines and in agriculture |
CN104460685A (en) * | 2014-11-21 | 2015-03-25 | 南京信息工程大学 | Control system for four-rotor aircraft and control method of control system |
CN105487551A (en) * | 2016-01-07 | 2016-04-13 | 谭圆圆 | Unmanned aerial vehicle-based spray sprinkling control method and control device |
CN205179245U (en) * | 2015-11-18 | 2016-04-20 | 海南甘霖农业科技发展有限公司 | Farm unmanned aerial vehicle inspection system |
CN105667791A (en) * | 2016-03-24 | 2016-06-15 | 中国人民解放军93558部队后勤部 | Fixed-wing bird repelling drone |
-
2016
- 2016-06-17 CN CN201610436351.6A patent/CN106094849A/en active Pending
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101990886A (en) * | 2009-08-18 | 2011-03-30 | 陈绍勇 | Device system for expelling birds, and catching and killing acridid and insect pests in airport by using toy helicopter |
CN202406908U (en) * | 2011-12-19 | 2012-09-05 | 青特集团有限公司 | Novel bird repelling electronic control system |
CN102999049A (en) * | 2012-11-09 | 2013-03-27 | 国家电网公司 | Remote control polling aircraft for overhead lines |
CN103365297A (en) * | 2013-06-29 | 2013-10-23 | 天津大学 | Optical flow-based four-rotor unmanned aerial vehicle flight control method |
CN103853156A (en) * | 2014-02-07 | 2014-06-11 | 中山大学 | Small four-rotor aircraft control system and method based on airborne sensor |
CN104035412A (en) * | 2014-06-12 | 2014-09-10 | 江苏恒创软件有限公司 | Crop diseases and pest monitoring system and method based on unmanned plane |
CN104186458A (en) * | 2014-08-11 | 2014-12-10 | 江苏恒创软件有限公司 | Orchard bird trouble prevention and treatment method based on unmanned aerial vehicle |
DE202014009166U1 (en) * | 2014-11-19 | 2014-12-22 | Florian Franzen | Largely autonomous drone (UAV helicopter drone) to repel birds and bats in the vicinity of wind turbines and in agriculture |
CN104460685A (en) * | 2014-11-21 | 2015-03-25 | 南京信息工程大学 | Control system for four-rotor aircraft and control method of control system |
CN205179245U (en) * | 2015-11-18 | 2016-04-20 | 海南甘霖农业科技发展有限公司 | Farm unmanned aerial vehicle inspection system |
CN105487551A (en) * | 2016-01-07 | 2016-04-13 | 谭圆圆 | Unmanned aerial vehicle-based spray sprinkling control method and control device |
CN105667791A (en) * | 2016-03-24 | 2016-06-15 | 中国人民解放军93558部队后勤部 | Fixed-wing bird repelling drone |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108227724A (en) * | 2016-12-13 | 2018-06-29 | 中国科学院沈阳自动化研究所 | A kind of detection and guidance integral system based on Intelligent mobile equipment |
CN106791684A (en) * | 2016-12-31 | 2017-05-31 | 深圳市乐信兴业科技有限公司 | Electronic equipment tracking and relevant apparatus and system and mobile terminal |
CN106843257A (en) * | 2017-04-07 | 2017-06-13 | 深圳蚁石科技有限公司 | A kind of autocontrol method of aircraft |
CN107102640A (en) * | 2017-04-26 | 2017-08-29 | 安阳全丰航空植保科技股份有限公司 | A kind of agricultural unmanned plane dispenser safety control system |
CN107102640B (en) * | 2017-04-26 | 2020-06-30 | 安阳全丰航空植保科技股份有限公司 | Agricultural unmanned aerial vehicle safety control system that gives medicine to poor free of charge |
CN108965234A (en) * | 2017-05-19 | 2018-12-07 | 罗伯特·博世有限公司 | Method for protecting network to prevent network attack |
CN108965234B (en) * | 2017-05-19 | 2022-10-14 | 罗伯特·博世有限公司 | Method for protecting a network against network attacks |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111932588B (en) | Tracking method of airborne unmanned aerial vehicle multi-target tracking system based on deep learning | |
US11604479B2 (en) | Methods and system for vision-based landing | |
Barry et al. | High‐speed autonomous obstacle avoidance with pushbroom stereo | |
CN110494360B (en) | System and method for providing autonomous photography and photography | |
CN106094849A (en) | Four-rotor aircraft control system and control method for farm autonomous management | |
CN103822635B (en) | The unmanned plane during flying spatial location real-time computing technique of view-based access control model information | |
CN106527481A (en) | Unmanned aerial vehicle flight control method, device and unmanned aerial vehicle | |
KR101827251B1 (en) | Method for detecting working area and performing continuous working in the detected working area and the unmanned air vehicle performing the same | |
CN206804018U (en) | Environmental data server, unmanned vehicle and alignment system | |
CN113485441A (en) | Distribution network inspection method combining unmanned aerial vehicle high-precision positioning and visual tracking technology | |
CN106931963A (en) | Environmental data shared platform, unmanned vehicle, localization method and alignment system | |
CN110692027A (en) | System and method for providing easy-to-use release and automatic positioning of drone applications | |
JP2020507072A (en) | Laser scanner with real-time online self-motion estimation | |
CN106094875A (en) | A kind of target follow-up control method of mobile robot | |
CN105182992A (en) | Unmanned aerial vehicle control method and device | |
CN105929850A (en) | Unmanned plane system and method with capabilities of continuous locking and target tracking | |
CN111824406A (en) | Public safety independently patrols four rotor unmanned aerial vehicle based on machine vision | |
CN115390582B (en) | Point cloud-based multi-rotor unmanned aerial vehicle tracking and intercepting method and system | |
CN106094876A (en) | A kind of unmanned plane target locking system and method thereof | |
CN107783103A (en) | A kind of flying bird tracking intelligent method of lightweight with self-learning function | |
CN111831010A (en) | Unmanned aerial vehicle obstacle avoidance flight method based on digital space slice | |
Zhou et al. | Real-time object detection and pose estimation using stereo vision. An application for a Quadrotor MAV | |
Kamat et al. | A survey on autonomous navigation techniques | |
Amidi et al. | Research on an autonomous vision-guided helicopter | |
Piponidis et al. | Towards a Fully Autonomous UAV Controller for Moving Platform Detection and Landing |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20161109 |