[go: up one dir, main page]

CN106483974A - A kind of fixed-wing unmanned plane closely geometry barrier-avoiding method - Google Patents

A kind of fixed-wing unmanned plane closely geometry barrier-avoiding method Download PDF

Info

Publication number
CN106483974A
CN106483974A CN201510555774.5A CN201510555774A CN106483974A CN 106483974 A CN106483974 A CN 106483974A CN 201510555774 A CN201510555774 A CN 201510555774A CN 106483974 A CN106483974 A CN 106483974A
Authority
CN
China
Prior art keywords
unmanned plane
fixed
flight
barrier
wing
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
CN201510555774.5A
Other languages
Chinese (zh)
Other versions
CN106483974B (en
Inventor
马蓉
陈小龙
李嘉
张奕烜
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.)
No 618 Research Institute of China Aviation Industry
Original Assignee
No 618 Research Institute of China Aviation Industry
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 No 618 Research Institute of China Aviation Industry filed Critical No 618 Research Institute of China Aviation Industry
Priority to CN201510555774.5A priority Critical patent/CN106483974B/en
Publication of CN106483974A publication Critical patent/CN106483974A/en
Application granted granted Critical
Publication of CN106483974B publication Critical patent/CN106483974B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
  • Aiming, Guidance, Guns With A Light Source, Armor, Camouflage, And Targets (AREA)

Abstract

本发明属于无人机自主控制技术,具体涉及一种固定翼无人机近距离几何避障方法。由于固定翼无人机具有飞行速度快、噪声小及续航时间长等优势,面向此类复杂环境的固定翼无人机自主飞行技术研究,已逐渐引起了军方的关注。该方法主要用于固定翼无人机的近距离避障,采用激光雷达和几何方法,计算出所需偏转角度及偏航角速度,具有反应迅速,可靠性高,并且易于操作等优点。

The invention belongs to the autonomous control technology of unmanned aerial vehicles, and in particular relates to a short-distance geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles. Due to the advantages of fast flight speed, low noise and long battery life of fixed-wing UAVs, the research on autonomous flight technology of fixed-wing UAVs for such complex environments has gradually attracted the attention of the military. This method is mainly used for short-distance obstacle avoidance of fixed-wing UAVs. It uses laser radar and geometric methods to calculate the required deflection angle and yaw angular velocity. It has the advantages of rapid response, high reliability, and easy operation.

Description

一种固定翼无人机近距离几何避障方法A close-range geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles

技术领域technical field

本发明属于无人机自主控制技术,具体涉及一种固定翼无人机近距离几何避障方法。The invention belongs to the autonomous control technology of unmanned aerial vehicles, and in particular relates to a short-distance geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles.

背景技术Background technique

随着无人机技术日新月异的发展,其在敌情侦查、区域监视、农业生产、气象检测、灾情探测等军事和民用领域有着日益广泛的应用。面对复杂的环境,如崎岖的山区,大厦林立的城市等应用场景,需要无人机具有较高自主等级的障碍规避功能。With the rapid development of UAV technology, it has increasingly wide applications in military and civilian fields such as enemy detection, regional surveillance, agricultural production, meteorological detection, and disaster detection. Faced with complex environments, such as rugged mountainous areas and cities with many buildings, UAVs are required to have a higher level of autonomy and obstacle avoidance functions.

目前,如小型直升机、四旋翼飞行器等面向城市楼宇间、森林和山区使用环境的自主飞行技术研究取得了较大的进展。由于固定翼无人机具有飞行速度快、噪声小及续航时间长等优势,面向此类复杂环境的固定翼无人机自主飞行技术研究,已逐渐引起了军方的关注。基于固定翼平台的近距离避障面临两个难题:1)实时性。由于固定翼无人机飞行速度快,其对避障的实时性有较高要求;2)动力学约束。相比于旋翼机,固定翼无人机具有较强的动力学约束,需要考虑无人机的动力学约束。At present, great progress has been made in the research of autonomous flight technology such as small helicopters and quadrotor aircraft for use in urban buildings, forests and mountainous environments. Due to the advantages of fast flight speed, low noise and long battery life of fixed-wing UAVs, the research on autonomous flight technology of fixed-wing UAVs for such complex environments has gradually attracted the attention of the military. The short-distance obstacle avoidance based on the fixed-wing platform faces two problems: 1) real-time performance. Due to the fast flight speed of fixed-wing UAVs, it has high requirements for real-time obstacle avoidance; 2) dynamic constraints. Compared with rotorcraft, fixed-wing UAVs have stronger dynamic constraints, and the dynamic constraints of UAVs need to be considered.

发明内容Contents of the invention

本发明要解决的技术问题是提出一种固定翼无人机近距离几何避障方法,解决固定翼无人机在复杂环境下避障问题。The technical problem to be solved by the present invention is to propose a fixed-wing UAV close-range geometric obstacle avoidance method to solve the problem of fixed-wing UAV obstacle avoidance in complex environments.

为了解决上述技术问题,本发明采用了以下步骤:In order to solve the problems of the technologies described above, the present invention adopts the following steps:

一、障碍物定位1. Obstacle positioning

利用机载激光雷达实时探测障碍物的位置。Use airborne lidar to detect the position of obstacles in real time.

二、设定安全区域2. Set the safe area

根据障碍物的位置、形状以及相对距离,设定无人机安全飞行区域,以障碍物表面的中心位置为圆心,以r为半径的球形区域,作为无人机的安全飞行区域,According to the position, shape and relative distance of the obstacle, set the safe flight area of the UAV, take the center of the obstacle surface as the center, and take the spherical area with r as the radius as the safe flight area of the UAV.

r=max(0.25l,robs)r=max(0.25l, r obs )

l是激光雷达探测到的无人机到障碍物表面的距离,robs为障碍物表面中心至其边缘的最大距离。l is the distance from the UAV detected by the lidar to the obstacle surface, and r obs is the maximum distance from the center of the obstacle surface to its edge.

三、计算偏航角3. Calculate the yaw angle

采用几何方法,根据当前航向与备选航向,计算出所需偏转角度及偏航角速度,在水平面内,以无人机当前位置,到安全飞行区域作两条切线V1与V2,V1与V2为无人机的备选航向,Vh为无人机当前飞行航向,计算出所需偏转角度及偏航角速度;Using geometric methods, calculate the required deflection angle and yaw angular velocity according to the current heading and the alternative heading, and draw two tangent lines V 1 and V 2 , V 1 from the current position of the UAV to the safe flight area in the horizontal plane and V 2 is the alternative heading of the UAV, V h is the current flight heading of the UAV, and the required deflection angle and yaw angular velocity are calculated;

即为所需偏转角度。 is the desired deflection angle.

四、选择应飞航向4. Select the flight direction

将步骤三中得到的较小偏转角度的备选航向选定为应飞航向。Select the alternative heading with a smaller deflection angle obtained in step 3 as the flying heading.

五、解算滚转角指令5. Solve the roll angle command

根据协调转弯条件,解算应飞的滚转角指令。According to the coordinated turning conditions, solve the roll angle command that should be flown.

六、实施避障6. Implement obstacle avoidance

无人机在自身位置变化的同时,实时更新滚转角指令,对滚转角指令进行修正,直到无人机越过障碍物,完成避障。When the UAV changes its own position, it updates the roll angle command in real time, and corrects the roll angle command until the UAV crosses the obstacle and completes the obstacle avoidance.

本发明的有益效果:该方法主要用于固定翼无人机的近距离避障,具有反应迅速,可靠性高,并且易于操作等优点。本方法的优越性能通过基于小型固定翼平台的近距离避障飞行试验得到了证实。Beneficial effects of the present invention: the method is mainly used for short-distance obstacle avoidance of fixed-wing unmanned aerial vehicles, and has the advantages of rapid response, high reliability, and easy operation. The superior performance of this method is confirmed by a short-distance obstacle avoidance flight test based on a small fixed-wing platform.

附图说明Description of drawings

图1是本发明几何避障方法的示意图。Fig. 1 is a schematic diagram of the geometric obstacle avoidance method of the present invention.

具体实施方式detailed description

一种采用本发明固定翼无人机近距离几何避障方法的具体实施例,A specific embodiment of the short-distance geometric obstacle avoidance method for the fixed-wing unmanned aerial vehicle of the present invention,

一、障碍物定位1. Obstacle positioning

对于近距离避障,要求对障碍物的探测具有较高精度。本次试验采用日本HOKUYO公司的UTM-30LX激光雷达,该激光雷达作用范围为30米,水平视角270°,角分辨率为0.25°,精度为3cm,能够满足本方法的要求。激光雷达安装于无人机的机头位置。本方法利用该激光雷达对周围的障碍物进行探测,通过无人机与障碍物的相对位置及无人机的当前位置,进而解算出障碍物所在的位置。同时可以获得障碍物的尺寸。For short-distance obstacle avoidance, higher precision is required for obstacle detection. This test uses the UTM-30LX laser radar of Japan HOKUYO company. The laser radar has a range of 30 meters, a horizontal viewing angle of 270°, an angular resolution of 0.25°, and an accuracy of 3cm, which can meet the requirements of this method. The lidar is installed at the nose of the drone. In this method, the laser radar is used to detect surrounding obstacles, and the position of the obstacle is calculated through the relative position of the UAV and the obstacle and the current position of the UAV. At the same time, the size of the obstacle can be obtained.

二、设定安全区域2. Set the safe area

由于小型固定翼无人机可能会在飞行时会受到外界环境的影响,飞行航迹存在一定误差而撞上障碍物,所以需要设定无人机的安全飞行区域。如图1所示,本方法采用以障碍物表面的中心位置为圆心,以r为半径的球形区域,作为无人机的安全飞行区域。Since the small fixed-wing UAV may be affected by the external environment during flight, and the flight path has a certain error and hits obstacles, it is necessary to set a safe flight area for the UAV. As shown in Figure 1, this method uses the center of the obstacle surface as the center and the spherical area with r as the radius as the safe flight area of the UAV.

r=max(0.25l,robs)r=max(0.25l, r obs )

l是激光雷达探测到的无人机到障碍物表面的距离,robs为障碍物表面中心至其边缘的最大距离。l is the distance from the UAV detected by the lidar to the obstacle surface, and r obs is the maximum distance from the center of the obstacle surface to its edge.

三、计算偏航角3. Calculate the yaw angle

在水平面内,以无人机当前位置,到安全飞行区域作两条切线V1与V2,V1与V2为无人机的备选航向。Vh为无人机当前飞行航向,计算出所需偏转角度及偏航角速度;In the horizontal plane, two tangent lines V 1 and V 2 are drawn from the current position of the UAV to the safe flight area, and V 1 and V 2 are the alternative headings of the UAV. V h is the current flight heading of the UAV, and the required deflection angle and yaw angular velocity are calculated;

即为所需偏转角度。 is the desired deflection angle.

四、选择应飞航向4. Select the flight direction

采取就近原则,选定V1为应飞航向。like Adopting the principle of proximity, select V 1 as the heading to be flown.

五、解算滚转角指令5. Solve the roll angle command

为了保证固定翼无人机在避障过程中飞行的安全性,水平面内避障时应满足协调转弯的条件,并且不超过无人机滚转角限制。根据协调转弯条件:In order to ensure the flight safety of fixed-wing UAVs during obstacle avoidance, the conditions for coordinated turning should be met when avoiding obstacles in the horizontal plane, and the UAV roll angle limit should not be exceeded. According to coordinated turn conditions:

由此得到From this we get

l为无人机当前位置到障碍物位置的距离,无人机飞行速度为V,得到无人机飞至障碍物的时间 l is the distance from the current position of the UAV to the position of the obstacle, and the flying speed of the UAV is V, and the time it takes for the UAV to fly to the obstacle is obtained

本次飞行试验所采用的固定翼无人机的最大滚转角限定为50°,The maximum roll angle of the fixed-wing UAV used in this flight test is limited to 50°.

由此得到避障的滚转角指令。Thus, the roll angle command for obstacle avoidance is obtained.

六、实施避障6. Implement obstacle avoidance

对无人机输入应飞滚转角指令进行避障。在此过程中,无人机在自身位置变化的同时,实时更新滚转角指令,对之前计算得到的滚转角指令进行修正,直到无人机越过障碍物,完成避障。Input the flying and rolling angle command to the UAV to avoid obstacles. During this process, the UAV updates the roll angle command in real time while its own position changes, and corrects the previously calculated roll angle command until the UAV crosses the obstacle and completes obstacle avoidance.

Claims (1)

1. a kind of fixed-wing unmanned plane closely geometry barrier-avoiding method it is characterised in that the method include following Step:
First, barrier positioning
Position using airborne laser radar real-time detection barrier;
2nd, set safety zone
According to the position of barrier, shape and relative distance, set unmanned plane safe flight region, to hinder The center hindering thing surface is the center of circle, and the spheric region with r as radius, as the Flight Safety Region of unmanned plane Domain,
R=max (0.25l, robs)
L is the distance to blocking surfaces for the unmanned plane that measures of Airborne Lidar, robsFor blocking surfaces center extremely The ultimate range at its edge;
3rd, calculate yaw angle
According to current course and alternative course, calculate required deflection angle and yaw rate, in horizontal plane Interior, with unmanned plane current location, make two tangent line V to safe flight region1With V2, V1With V2For no Man-machine alternative course, VhFor unmanned plane current flight course, calculate required deflection angle and yaw angle speed Degree;
It is required deflection angle;
4th, select desired heading
The alternative course of the relatively primary deflector obtaining in step 3 angle is chosen to be desired heading;
5th, resolve roll angle instruction
According to coordinate turn condition, resolve the roll angle instruction that should fly;
6th, implement avoidance
While self-position changes, real-time update roll angle instructs unmanned plane, and roll angle instruction is carried out Revise, until unmanned plane clears the jumps, complete avoidance.
CN201510555774.5A 2015-09-02 2015-09-02 A close-range geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles Active CN106483974B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510555774.5A CN106483974B (en) 2015-09-02 2015-09-02 A close-range geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510555774.5A CN106483974B (en) 2015-09-02 2015-09-02 A close-range geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles

Publications (2)

Publication Number Publication Date
CN106483974A true CN106483974A (en) 2017-03-08
CN106483974B CN106483974B (en) 2019-05-10

Family

ID=58238120

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510555774.5A Active CN106483974B (en) 2015-09-02 2015-09-02 A close-range geometric obstacle avoidance method for fixed-wing unmanned aerial vehicles

Country Status (1)

Country Link
CN (1) CN106483974B (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107544534A (en) * 2017-10-16 2018-01-05 中国矿业大学 A kind of plant protection unmanned plane automatic fine operation and barrier-avoiding method based on BDS, INS
CN107914273A (en) * 2017-11-08 2018-04-17 浙江工业大学 Mechanical arm teaching system based on gesture control
CN107943101A (en) * 2017-12-13 2018-04-20 王俊梅 A kind of method that unmanned plane selection jamming pattern flies
CN108323190A (en) * 2017-12-15 2018-07-24 深圳市道通智能航空技术有限公司 An obstacle avoidance method, device and unmanned aerial vehicle
CN108986469A (en) * 2018-07-04 2018-12-11 北京航空航天大学 It is a kind of to turn to the highway emergency event recognition methods that circle tangential method carries out unmanned plane path planning based on minimum safe
CN109298708A (en) * 2018-08-31 2019-02-01 中船重工鹏力(南京)大气海洋信息系统有限公司 A kind of unmanned boat automatic obstacle avoiding method merging radar and photoelectric information
CN109407705A (en) * 2018-12-14 2019-03-01 厦门理工学院 A kind of method, apparatus, equipment and the storage medium of unmanned plane avoiding barrier
CN110244762A (en) * 2019-06-17 2019-09-17 中国科学院自动化研究所 Anti-collision method, equipment, and safety system for flight equipment based on audio position identification
CN110262555A (en) * 2019-07-12 2019-09-20 南京航空航天大学 Unmanned plane Real Time Obstacle Avoiding control method under continuous obstacle environment
CN111665867A (en) * 2020-06-29 2020-09-15 中国人民解放军海军航空大学岸防兵学院 Aircraft lateral maneuver guidance method and device, electronic equipment and storage medium
CN115616578A (en) * 2022-12-05 2023-01-17 成都航空职业技术学院 Radar detection method and device for unmanned aerial vehicle

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5581250A (en) * 1995-02-24 1996-12-03 Khvilivitzky; Alexander Visual collision avoidance system for unmanned aerial vehicles
CN103365299A (en) * 2013-08-02 2013-10-23 中国科学院自动化研究所 Method and device for avoiding obstacle of unmanned aerial vehicle
CN103984357A (en) * 2014-05-30 2014-08-13 中国人民解放军理工大学 Unmanned aerial vehicle automatic obstacle avoidance flight system based on panoramic stereo imaging device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5581250A (en) * 1995-02-24 1996-12-03 Khvilivitzky; Alexander Visual collision avoidance system for unmanned aerial vehicles
CN103365299A (en) * 2013-08-02 2013-10-23 中国科学院自动化研究所 Method and device for avoiding obstacle of unmanned aerial vehicle
CN103984357A (en) * 2014-05-30 2014-08-13 中国人民解放军理工大学 Unmanned aerial vehicle automatic obstacle avoidance flight system based on panoramic stereo imaging device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
徐军: "《飞行控制系统》", 31 August 2015, 北京理工大学出版社 *
王希彬等: "基于碰撞圆锥的无人机SLAM避障技术研究", 《飞航导弹》 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107544534A (en) * 2017-10-16 2018-01-05 中国矿业大学 A kind of plant protection unmanned plane automatic fine operation and barrier-avoiding method based on BDS, INS
CN107914273A (en) * 2017-11-08 2018-04-17 浙江工业大学 Mechanical arm teaching system based on gesture control
CN107943101B (en) * 2017-12-13 2020-11-03 徐州融创达电子科技有限公司 Method for unmanned aerial vehicle to fly by selecting interference background
CN107943101A (en) * 2017-12-13 2018-04-20 王俊梅 A kind of method that unmanned plane selection jamming pattern flies
CN108323190A (en) * 2017-12-15 2018-07-24 深圳市道通智能航空技术有限公司 An obstacle avoidance method, device and unmanned aerial vehicle
CN108323190B (en) * 2017-12-15 2022-07-29 深圳市道通智能航空技术股份有限公司 Obstacle avoidance method and device and unmanned aerial vehicle
CN108986469A (en) * 2018-07-04 2018-12-11 北京航空航天大学 It is a kind of to turn to the highway emergency event recognition methods that circle tangential method carries out unmanned plane path planning based on minimum safe
CN109298708A (en) * 2018-08-31 2019-02-01 中船重工鹏力(南京)大气海洋信息系统有限公司 A kind of unmanned boat automatic obstacle avoiding method merging radar and photoelectric information
CN109298708B (en) * 2018-08-31 2021-08-17 中船重工鹏力(南京)大气海洋信息系统有限公司 Unmanned ship autonomous obstacle avoidance method integrating radar and photoelectric information
CN109407705A (en) * 2018-12-14 2019-03-01 厦门理工学院 A kind of method, apparatus, equipment and the storage medium of unmanned plane avoiding barrier
CN110244762A (en) * 2019-06-17 2019-09-17 中国科学院自动化研究所 Anti-collision method, equipment, and safety system for flight equipment based on audio position identification
CN110262555A (en) * 2019-07-12 2019-09-20 南京航空航天大学 Unmanned plane Real Time Obstacle Avoiding control method under continuous obstacle environment
CN111665867A (en) * 2020-06-29 2020-09-15 中国人民解放军海军航空大学岸防兵学院 Aircraft lateral maneuver guidance method and device, electronic equipment and storage medium
CN111665867B (en) * 2020-06-29 2023-04-07 中国人民解放军海军航空大学岸防兵学院 Aircraft lateral maneuver guidance method and device, electronic equipment and storage medium
CN115616578A (en) * 2022-12-05 2023-01-17 成都航空职业技术学院 Radar detection method and device for unmanned aerial vehicle

Also Published As

Publication number Publication date
CN106483974B (en) 2019-05-10

Similar Documents

Publication Publication Date Title
CN106483974A (en) A kind of fixed-wing unmanned plane closely geometry barrier-avoiding method
CN109947123B (en) A UAV path tracking and autonomous obstacle avoidance method based on sight guidance law
Yang et al. A 3D collision avoidance strategy for UAVs in a non-cooperative environment
US10276051B2 (en) Dynamic collision-avoidance system and method
CN106647810B (en) An automatic collision avoidance method for unmanned aerial vehicles based on negative proportional guidance
CN104309803B (en) The automatic landing system of rotor craft and method
CN105022401B (en) Vision-based collaborative SLAM method for multi-quadrotor UAVs
CN108319291B (en) A Cognitive Anti-Collision Control Method for UAVs Based on Safety Boundary Analysis
CN103365299B (en) A kind of barrier-avoiding method of unmanned plane and device thereof
Scherer et al. Flying fast and low among obstacles
CN108759839B (en) A Situational Space-Based UAV Path Planning Method
CN103365297B (en) Based on four rotor wing unmanned aerial vehicle flight control methods of light stream
CN103728981B (en) A kind of nonlinear navigation trace follow control method of unmanned plane
CN108549408B (en) Automatic anti-collision ground track planning method and system
CN105759829A (en) Laser radar-based mini-sized unmanned plane control method and system
CN102298389A (en) System fully controlled and taken over by ground station during takeoff and landing stages of unmanned plane
CN103713642B (en) A kind of no-manned plane three-dimensional Route planner based on disturbance fluid dynamical system
CN105892487B (en) A kind of unmanned plane 8-shaped flight tracking control method
CN107368095A (en) Air anti-collision system and method for small-sized fixed-wing unmanned aerial vehicle
CN105573340A (en) Anti-crosswind flight control method for fixed wing unmanned plane
CN107992065A (en) A kind of fixed-wing unmanned aerial vehicle group movable object tracking and avoidance collision-proof method
CN110262555A (en) Unmanned plane Real Time Obstacle Avoiding control method under continuous obstacle environment
CN110793522B (en) Flight path planning method based on ant colony algorithm
CN114035605A (en) An obstacle avoidance method for aircraft based on proportional guidance
Tamanakijprasart et al. Dynamic path planning of UAV in three-dimensional complex environment based on interfered fluid dynamical system

Legal Events

Date Code Title Description
C06 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