期刊文献+

基于力传感的系留无人机定位方法研究 被引量:3

Research on the positioning method of tethered UAV using force sensing
下载PDF
导出
摘要 在无GPS或弱GPS环境下,系留无人机通常采用激光雷达或视觉进行定位,由于受距离和光线的影响,无法实现精准定位。针对该问题,提出了一种基于力传感的系留无人机绳缆定位方法。系留无人机在室内飞行时,绳缆的状态可等效于悬链线,通过建立系留无人机悬链线模型,可有效估计无人机所处空间位置。使用基于力传感器的无人机、硅胶绳缆、绕线机搭建测试平台,绳缆定位数据与MarveImind的Indoor"GPS"标定无人机的位置做误差对比分析。实验结果表明:基于力传感的系留无人机定位方法,相较于Fotokite Pro无人机绳缆定位方法,定位精度提升了70.86%。该定位方法的提出,有利于系留无人机在无GPS环境下的稳定飞行。 In a GPS denied environment,the localization can be achieved by different sensors such as Lidar and camera.Due to the influence of distance and light,precise localization cannot be achieved.Aiming at this problem,this paper proposes a force sensing based tethered UAV positioning method.When the tethered UAV is flying indoors,the state of the rope can be equivalent to the catenary line.By establishing the catenary model of the tethered UAV,the spatial location of the UAV can be effectively estimated.Using an UAV based on force sensor,a silicone cable,and a winder to build a test platform,using the tether positioning data and MarveImind’s Indoor"GPS"to calibrate the position of the UAV for error comparison analysis.The experimental results show that the positioning accuracy of the mooring drone based on force sensing is 70.85%higher than the Fotokite Pro UAV cable positioning method.The proposed positioning method is conducive to the stable flight of the tethered UAV in a GPS denied environment.
作者 林海涛 张华 李永龙 汪双 陈财富 王皓冉 LIN Haitao;ZHANG Hua;LI Yonglong;WANG Shuang;CHEN Caifu;WANG Haoran(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610000,China;State Key Laboratory of Hydroscience and Engineering,Tsinghua University,Beijing 100084,China)
出处 《智能系统学报》 CSCD 北大核心 2020年第4期672-678,共7页 CAAI Transactions on Intelligent Systems
基金 国家“十三五”核能开发科研项目(20161295) 四川省科技计划项目(2018JZ0001,2019YFG0144) 中国大唐集团公司科学技术项目(CDT-TZK/SYD[2018]-010).
关键词 系留无人机 悬链线 绕线机 室内定位 力传感器 激光雷达 视觉 tethered UAV catenary winding machine indoor positioning force sensor lidar vision
  • 相关文献

参考文献8

二级参考文献89

  • 1魏宁,刘一松.基于栅格模型的移动机器人全局路径规划研究[J].微计算机信息,2008,24(11):229-231. 被引量:15
  • 2孙凤梅,王卫宁.基于单个平行四边形单幅图像的物体定位[J].自动化学报,2006,32(5):746-752. 被引量:12
  • 3吴朝福.计算机视觉中的数学方法[M].北京:科学出版社,2008.
  • 4陈抚良,张振兰,黄浩然.解析几何[M].北京:科学出版社.2005.
  • 5Zheng C W, Xu F J, Hu X H, et al. Online route planner for un- manned air vehicle navigation in unknown battlefield environ- ment[C]//Computational Engineering in Systems Applications, IMACS Multiconference. Piscataway, USA: IEEE, 2006: 814- 818.
  • 6Wang X H, Yadav V, Balakrishnan S N. Cooperative UAV for- mation flying with obstacle/collision avoidance[J]. IEEE Trans- actions on Control Systems Technology, 2007, 15(4): 672-679.
  • 7Nikolos I K, Valavanis K P, Tsourveloudis N C, et al. Evolution- ary algorithm based of/line/online path planner for UAV naviga- tion[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2003, 33(6): 898-912.
  • 8Paul T, Krogstad T R, Gravdahl J T. Modelling of UAV for- mation flight using 3D potential field[J]. Simulation Modelling Practice and Theory, 2008, 16(9): 1453-1462.
  • 9Shah M A, Aouf N. Dynamic cooperative perception and path planning for collision avoidance[C]//ISMA'09 on Mechatronics and Its Applications. Piscataway, USA: IEEE, 2009: 1-7.
  • 10Qin S J, Badgwell T A. A survey of industrial model predictive control technology[J]. Control Engineering Practice, 2003, 11: 733-764.

共引文献141

同被引文献24

引证文献3

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