计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 520-523.doi: 10.11896/j.issn.1002-137X.2017.11A.110

• 综合、交叉与应用 • 上一篇    下一篇

四旋翼无人机自主移动降落方法研究

贾配洋,彭晓东,周武根   

  1. 中国科学院国家空间科学中心 北京100190;中国科学院大学计算机与控制学院 北京100190,中国科学院国家空间科学中心 北京100190,中国科学院国家空间科学中心 北京100190;中国科学院大学计算机与控制学院 北京100190
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受军委装备发展部领域基金(6140001010216ZK24001)资助

Research on Autonomous Landing of Quad-rotor UAV

JIA Pei-yang, PENG Xiao-dong and ZHOU Wu-gen   

  • Online:2018-12-01 Published:2018-12-01

摘要: 近年来,四旋翼无人机在自主完成各种复杂任务中扮演着愈发重要的角色。移动降落技术是无人机智能处理系统的关键技术,包含3个环节:目标检测、目标跟踪、位置预估及降落。提出了一种基于Apriltags的跟踪降落算法,提升了识别性能,通过Kalman滤波及拟合函数等方法预估运动目标轨迹,采用PID算法控制无人机稳定飞行、快速响应,实现了无人机对移动目标的智能识别、稳定跟踪及移动降落。

关键词: 目标跟踪,移动降落,Apriltags,Kalman滤波,拟合函数,PID

Abstract: In recent years,quad-rotor UAV plays an increasingly important role.Autonomous landing is the key technology for UAV’s intelligence processing system,and it has three main steps:target detection,target tracking,position prediction and landing.In this paper,the improved Apriltags algorithm was used to get target’s 3D position and attitude in real time.PID algorithm and Kalman filtering were used to make the UAV’s flying more stable and its responding more quickly.Fitting function was used to predict the UAV’s flying path.In conclusion,the method realizes the UAV’sintelligent recognition,stable tracking and autonomous landing for moving target.

Key words: Target tracking,Autonomous landing,Apriltags,Kalman filter,Fitting function,PID

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