期刊文献+

四旋翼无人机自主循迹系统设计 被引量:12

Design of an Autonomous Tracking System for Quad-rotor UAV
下载PDF
导出
摘要 提出四旋翼利用机载摄像头进行自主循迹的方案。采用机器视觉模块OpenMV获取地面图像,将图像分割成5个区域,通过计算和分析每个区域的标志位来识别各种赛道元素,得出无人机相对于路径的水平偏差以及与路径的夹角。利用线性自抗扰控制器(LADRC)设计位置外环,速度内环采用PID控制器,两者形成位置—速度串级控制,去消除水平误差。采取bang-bang控制算法进行飞行器航向纠正。以跟踪“8”字形轨迹进行了实验,结果表明,该方案具有良好的路径识别效果,能够使四旋翼准确稳定地跟踪地面黑色引导线飞行。 A scheme is proposed for the quad-rotor UAV to implement autonomous tracking with an airborne camera.The machine vision module OpenMV is used to acquire the ground image and the image is divided into five regions.By calculating and analyzing the black lines in each region various track elements are identified to obtain the horizontal deviation of the UAV relative to the path and the angle between the UAV and the path.The position outer loop is designed by the Linear Active Disturbance Rejection Controller(LADRC)and the speed inner loop adopts a PID controller and the two loops form a position-speed cascade control to eliminate the horizontal error.The bang-bang control algorithm is then used to correct the aircraft heading.Experiments were carried out to track the 8-shaped trajectory.The results show that the scheme has a good path recognition effect and can make the quad-rotor UAV accurately and stably track the ground black guide line.
作者 蔡鑫 沈捷 王莉 肖智中 CAI Xin;SHEN Jie;WANG Li;XIAO Zhi-zhong(College of Automation and Electrical Engineering Nanjing Tech University Nanjing 211816,China)
出处 《电光与控制》 CSCD 北大核心 2019年第10期34-37,共4页 Electronics Optics & Control
基金 江苏省自然科学基金(BK20171019) 江苏省研究生科研与实践创新计划(SJCX17_0277) 江苏省高等学校大学生创新创业训练计划项目(201810291101Y)
关键词 四旋翼 循迹 机器视觉 线性自抗扰控制 串级 路径识别 quad-rotor UAV tracking machine vision LADRC cascade path recognition
  • 相关文献

参考文献6

二级参考文献31

  • 1徐玉,李平,韩波.一种面向机动的低成本姿态测量系统[J].传感技术学报,2007,20(10):2272-2275. 被引量:20
  • 2黄旭,王常虹,伊国兴,王玉峰.利用磁强计及微机械加速度计和陀螺的姿态估计扩展卡尔曼滤波器[J].中国惯性技术学报,2005,13(2):27-30. 被引量:32
  • 3陈丽娟,周鑫.基于ARM嵌入式图像处理平台的太阳跟踪系统[J].现代电子技术,2012,35(4):71-74. 被引量:16
  • 4Fourati H, Manamanni N, Afilal L, et al.. A complementary observer-based approach for the estimation of motion in rigid bod-ies using inertial and magnetic sensors [C] //2010 IEEE Interna- tional Conference on Control Applications, Yokohama, 2010:422-427.
  • 5Euston M, Coote P, Mahony R, et al.. A complementary filter for attitude estimation of a fixed-wing uav [C] //IEEE/RSJ Interna- tional Conference on Intelligent Robots and Systems, Nice, 2008: 340-345.
  • 6Li Y, Dempster A, Li B, et al.. A low-cost attitude heading reference system by combination of GPS and magnetometers and MEMS inertial sensors for mobile applications [J]. Journal of Glo- bal Positioning Systems, 2006,5 (1/2): 88-95.
  • 7Khalil H K. Nonlinear systems [M]. Upper Saddle River: Prentice hall, 2002.
  • 8Tayebi A, McGilvray S, Roberts A, et al.. Attitude estimation and stabilization ofa rigid body using low-cost sensors [C] //2007 46th IEEE Conference on Decision and Control, New Orleans, 2007: 6424-6429.
  • 9梅春波,秦永元,张金亮.基于MEMS惯性器件的两种水平姿态算法比较研究[C]//微机电惯性技术的发展现状与趋势惯性技术发展动态发展方向研讨会文集,苏州,2011:44-52.
  • 10王合龙,刘建业.机载光电系统平台稳定控制算法[J].南京航空航天大学学报,2008,40(2):234-238. 被引量:13

共引文献73

同被引文献130

引证文献12

二级引证文献20

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部