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CN103196453A - Design of four-axis aircraft visual navigation system - Google Patents

Design of four-axis aircraft visual navigation system Download PDF

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CN103196453A
CN103196453A CN 201310138790 CN201310138790A CN103196453A CN 103196453 A CN103196453 A CN 103196453A CN 201310138790 CN201310138790 CN 201310138790 CN 201310138790 A CN201310138790 A CN 201310138790A CN 103196453 A CN103196453 A CN 103196453A
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aircraft
navigation system
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vision
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成怡
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Tiangong University
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Tianjin Polytechnic University
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Abstract

The invention belongs to the field of visual navigation, and in particular relates to design of a four-axis aircraft visual navigation system, which comprises a visual system module, an inertial navigation measuring module, a visual image wireless transmission module, a visual image processing module and an aircraft motion control module; a machine-mounted camera and an inertial measurement element are adopted for achieving on-line measurement; the collected information is treated off line through a wireless transmission mode and is wirelessly transmitted back to a machine-mounted high-speed processor for achieving control, therefore, the requirement on weight of the aircraft and control accuracy is solved, and the problem of transmission delay is solved through adding delay information in a navigation algorithm. The four-axis aircraft visual navigation systematic disclosed by the design has important application value.

Description

四轴飞行器视觉导航系统设计Design of Vision Navigation System for Quadcopter

技术领域technical field

本发明属于视觉导航领域,涉及一种四轴飞行器视觉导航系统设计,特别涉及一种能够实现四轴飞行器视觉信息采集、无线传输、惯性导航单元测量位置姿态、四轴飞行器飞行控制功能的设计。The invention belongs to the field of visual navigation and relates to a design of a visual navigation system for a four-axis aircraft, in particular to a design capable of realizing the collection of visual information of the four-axis aircraft, wireless transmission, position and attitude measurement by an inertial navigation unit, and flight control functions of the four-axis aircraft.

背景技术Background technique

四轴飞行器是一种形式的无人机(UAV),无人机使用全球定位系统(GPS)导航定位和惯性导航系统(IMU)。GPS的估计精度直接取决于参与定位的卫星的数量以及接收设备接收信号的质量与电台的影响。此外,相邻设备的无线电频率干扰或信道堵塞都可能导致位置估计的不可靠,而这些问题又是普遍存在且难以解决。在无法使用或获得有效GPS信号的时候,无人机的导航系统只能依靠惯性导航系统,而高精度的惯性导航系统依靠于高精度的传感器,这一方面增加了成本,一方面增加了无人机的载荷。另外,由于惯导系统的位置误差随时间的增长而积累,所以必须由外部信息校正,如果携带如无线电、激光扫描仪等设置,对于中小型无人机(MUAV),载荷重量是一个最大限制。A quadcopter is a form of unmanned aerial vehicle (UAV) that uses a Global Positioning System (GPS) for navigation and an Inertial Navigation System (IMU). The estimation accuracy of GPS directly depends on the number of satellites participating in the positioning and the quality of the signal received by the receiving device and the influence of the station. In addition, radio frequency interference from neighboring devices or channel congestion can lead to unreliable position estimates, which are ubiquitous and difficult to resolve. When the effective GPS signal cannot be used or obtained, the navigation system of the UAV can only rely on the inertial navigation system, and the high-precision inertial navigation system relies on high-precision sensors, which increases the cost on the one hand, and increases the cost of wireless on the other hand. Man-machine load. In addition, since the position error of the inertial navigation system accumulates with time, it must be corrected by external information. If you carry settings such as radios, laser scanners, etc., for small and medium-sized unmanned aerial vehicles (MUAVs), the load weight is a maximum limit .

采用机载相机、惯性导航系统,实现在线测量,而通过无线传送的方式将采集的信息离线处理,在无线传送回机载高速处理器从而实现控制,这样解决了飞行器重量与控制精制的要求,这样又存在传输延迟的问题,因此在导航算法中应该加入延迟信息补偿。本设计提出的四轴飞行器视觉导航系统具有重要的应用价值。The on-board camera and inertial navigation system are used to realize online measurement, and the collected information is processed offline through wireless transmission, and then wirelessly transmitted back to the on-board high-speed processor to realize control, which solves the requirements of aircraft weight and control refinement, In this way, there is a problem of transmission delay, so delay information compensation should be added to the navigation algorithm. The quadcopter visual navigation system proposed in this design has important application value.

发明内容Contents of the invention

本发明所要解决的技术问题是,设计一种四轴飞行器视觉导航系统,实现利用视觉图像信息和惯性测量元件确定载体位置的功能。本发明所采用的技术方案是:一种四轴飞行器视觉导航系统,包括有视觉系统模块(1),惯导测量模块(2),视觉图像无线传输模块(3),视觉图像处理模块(4),飞行器运动控制模块(5),各模块的功能描述如下:The technical problem to be solved by the present invention is to design a visual navigation system for a four-axis aircraft to realize the function of determining the position of a carrier by using visual image information and inertial measurement elements. The technical scheme adopted in the present invention is: a visual navigation system for a four-axis aircraft, comprising a visual system module (1), an inertial navigation measurement module (2), a visual image wireless transmission module (3), a visual image processing module (4) ), the aircraft motion control module (5), the function description of each module is as follows:

视觉系统模块(1)为机载相机和定时电路,实现视觉图像的采集和传输计时,为下一步图像处理做准备;惯导测量模块(2)利用陀螺仪和加速度计及压力传感器测量飞行器的方向、加速度、压力(高度)信息,得到后续载体位置估计的惯导数据;视觉图像无线传输模块(3)实现机载相机与图像处理计算机间、图像处理计算机与微处理器间的无线传输;视觉图像处理模块(4)由离线计算机组成,实现图像特征提取、跟踪、识别,给出基于图像信息的四轴飞行器的位置估计;飞行器运动控制模块(5)基于微处理器、控制算法实现四轴电机转速控制。The vision system module (1) is an airborne camera and a timing circuit, which realizes the acquisition and transmission timing of visual images and prepares for the next image processing; the inertial navigation measurement module (2) uses gyroscopes, accelerometers and pressure sensors to measure the aircraft Direction, acceleration, pressure (altitude) information to obtain the inertial navigation data for subsequent carrier position estimation; the visual image wireless transmission module (3) realizes the wireless transmission between the airborne camera and the image processing computer, and between the image processing computer and the microprocessor; The visual image processing module (4) is composed of off-line computers to realize image feature extraction, tracking, and recognition, and provides the position estimation of the quadcopter based on image information; the aircraft motion control module (5) realizes quadcopter based on microprocessor and control algorithm Shaft motor speed control.

采取的措施还包括:Measures taken also include:

上述的视觉系统模块模块(1)中的定时器根据定时精度可选择不同位的定时器。The timer in the above-mentioned visual system module module (1) can select a timer with different bits according to the timing accuracy.

上述的惯导测量模块(2)中的陀螺仪和加速度计均为MEMS。Both the gyroscope and the accelerometer in the above-mentioned inertial navigation measurement module (2) are MEMS.

上述的视觉图像处理模块(4)中图像的处理采用光流分析法和快速角点法,同时引入图像传输延迟补偿。The image processing in the above-mentioned visual image processing module (4) adopts the optical flow analysis method and the fast corner method, and introduces image transmission delay compensation at the same time.

上述的飞行器运动控制模块(5)中,采用Kalman滤波算法融合图像和惯导的位置估计,采用PID控制器实现四轴电机的转速控制。In the above-mentioned aircraft motion control module (5), the Kalman filter algorithm is used to fuse the image and the position estimation of the inertial navigation, and the PID controller is used to realize the speed control of the four-axis motor.

本发明的目的在于设计重量轻、成本低、功能全的四轴飞行器视觉导航系统。通过上述的5个功能模块实现视觉辅助导航,具有很强的实用性。The purpose of the present invention is to design a visual navigation system for a quadcopter with light weight, low cost and full functions. The visual aided navigation is realized through the above five functional modules, which has strong practicability.

附图说明Description of drawings

图1是本发明的整体结构图。Fig. 1 is the overall structure diagram of the present invention.

具体实施方式Detailed ways

下面结合附图对本发明作进一步详细说明。The present invention will be described in further detail below in conjunction with the accompanying drawings.

视觉系统模块中机载相机实时捕捉目标图像,定时电路将在当前图像无线传输开始计时,当这个图像处理完成并输出微处理器后,结束计时,这个时间间隔为传输延迟,为后面滤波中传输延迟补偿使用。惯导测量模块利用MEMS陀螺仪和加速度计测量飞行器的方向和加速度信息,进而可解算出位置信息,而压力传感器测量飞行器所处高度的压力,并转化成高度值。视觉图像无线传输模块负责机载相机与图像处理计算机间、图像处理计算机与微处理器间的无线传输;视觉图像处理模块由离线计算机实现图像特征提取、跟踪、识别,给出基于图像信息的四轴飞行器的位置估计;飞行器运动控制模块基于微处理器、kalman滤波算法和PID控制算法实现四轴电机转速控制。The onboard camera in the vision system module captures the target image in real time. The timing circuit will start timing when the current image is transmitted wirelessly. When the image processing is completed and output to the microprocessor, the timing will end. This time interval is the transmission delay, which is transmitted in the subsequent filtering. Delay compensation is used. The inertial navigation measurement module uses MEMS gyroscopes and accelerometers to measure the direction and acceleration information of the aircraft, and then can calculate the position information, while the pressure sensor measures the pressure at the altitude of the aircraft and converts it into an altitude value. The visual image wireless transmission module is responsible for the wireless transmission between the airborne camera and the image processing computer, and between the image processing computer and the microprocessor; Estimation of the position of the quadrocopter; the motion control module of the vehicle is based on the microprocessor, kalman filter algorithm and PID control algorithm to realize the speed control of the four-axis motor.

本发明的优点在于,设计的四轴飞行器视觉导航系统结构简单,成本低廉,操作方便,功能齐全。The invention has the advantages of simple structure, low cost, convenient operation and complete functions of the designed four-axis aircraft visual navigation system.

Claims (5)

1. the present invention designs a kind of four-axle aircraft vision navigation system, realizes utilizing visual pattern information and inertial measurement component to determine the function of carrier positions.The technical solution adopted in the present invention is: a kind of four-axle aircraft vision navigation system, include vision system module (1), inertial navigation measurement module (2), visual pattern wireless transport module (3), visual pattern processing module (4), aircraft movements control module (5).It is characterized in that: vision system module (1) is airborne camera and timing circuit, realizes collection and the transmission timing of visual pattern, handles for next step image and prepares; Inertial navigation measurement module (2) utilizes gyroscope and acceleration to take into account direction, acceleration, pressure (highly) information that pressure transducer is measured aircraft, obtains the inertial navigation data that follow-up carrier positions is estimated; Visual pattern wireless transport module (3) is realized between airborne camera and pattern process computer, the wireless transmission between pattern process computer and microprocessor; Visual pattern processing module (4) is made up of off-line, realizes image characteristics extraction, tracking, identification, provides the location estimation based on the four-axle aircraft of image information; Aircraft movements control module (5) realizes the control of four spindle motor rotating speeds based on microprocessor, control algolithm.
2. a kind of four-axle aircraft vision navigation system according to claim 1 is characterized in that, the timer in the described vision system module module (1) can be selected the timer of different positions according to timing accuracy.
3. a kind of four-axle aircraft vision navigation system according to claim 1 is characterized in that, gyroscope and accelerometer in the described inertial navigation measurement module (2) are MEMS.
4. a kind of four-axle aircraft vision navigation system according to claim 1 is characterized in that, treatment of picture adopts optical flow analysis method and Fast Corner method in the described visual pattern processing module (4), introduces the compensation of image transmission delay simultaneously.
5. a kind of four-axle aircraft vision navigation system according to claim 1, it is characterized in that, in the described aircraft movements control module (5), adopt the location estimation of Kalman filtering algorithm fused images and inertial navigation, adopt the PID controller to realize the rotating speed control of four spindle motors.
CN 201310138790 2013-04-19 2013-04-19 Design of four-axis aircraft visual navigation system Pending CN103196453A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103697881A (en) * 2013-12-27 2014-04-02 北京航天时代光电科技有限公司 High-reliability redundant four-shaft optical fiber gyroscope inertia measurement device
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
CN104590552A (en) * 2014-12-08 2015-05-06 天津大学 Miniature multi-rotor aircraft based on visual navigation
CN105197252A (en) * 2015-09-17 2015-12-30 武汉理工大学 Small-size unmanned aerial vehicle landing method and system
CN105407330A (en) * 2015-12-21 2016-03-16 中国航天空气动力技术研究院 Method for reducing influence from link delay to photoelectric load target locking
CN105589469A (en) * 2014-10-21 2016-05-18 武汉乐享视界科技有限公司 Quadcopter using Wi-Fi in manipulation and video transmission
CN109143305A (en) * 2018-09-30 2019-01-04 百度在线网络技术(北京)有限公司 Automobile navigation method and device

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103697881A (en) * 2013-12-27 2014-04-02 北京航天时代光电科技有限公司 High-reliability redundant four-shaft optical fiber gyroscope inertia measurement device
CN103697881B (en) * 2013-12-27 2016-09-21 北京航天时代光电科技有限公司 A kind of highly reliable redundancy-type four axle inertial measurement unit of optical fiber gyroscope
CN105589469A (en) * 2014-10-21 2016-05-18 武汉乐享视界科技有限公司 Quadcopter using Wi-Fi in manipulation and video transmission
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
CN104590552A (en) * 2014-12-08 2015-05-06 天津大学 Miniature multi-rotor aircraft based on visual navigation
CN105197252A (en) * 2015-09-17 2015-12-30 武汉理工大学 Small-size unmanned aerial vehicle landing method and system
CN105407330A (en) * 2015-12-21 2016-03-16 中国航天空气动力技术研究院 Method for reducing influence from link delay to photoelectric load target locking
CN109143305A (en) * 2018-09-30 2019-01-04 百度在线网络技术(北京)有限公司 Automobile navigation method and device

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Application publication date: 20130710