Relative pose decoupled iterative determination algorithm for UAV aerial refueling

被引:0
作者
Wang, Long [1 ]
Dong, Xin-Min [1 ]
Jia, Hai-Yan [2 ]
机构
[1] Engineering College, Air Force Engineering University
[2] Unit 93942, People's Liberation Army, Xianyang 712000, Shaanxi Province
来源
Yingyong Kexue Xuebao/Journal of Applied Sciences | 2012年 / 30卷 / 04期
关键词
Aerial refueling; Decoupled iterative; Line of sight; Relative pose;
D O I
10.3969/j.issn.0255-8297.2012.04.016
中图分类号
学科分类号
摘要
Considering the coupled and nonlinear relationship between the relative pose in the line of sight equations, an iterative decoupling algorithm is proposed to determine relative pose. Application of the method to aerial refueling is discussed. Based on the pseudo-range of satellite navigation, an observation matrix is constructed by using line of sight vectors. The relative position are updated by the least square method, and then the relative attitude is updated. By introducing an iterative error, convergence of the iterative algorithm is proved. The trace of error variance matrix is used to analyze the effect of feature geometry configuration on the precision. Simulation results show that the proposed algorithm can improve performance by 23% and 40% in speed and robustness than Gaussian least square differential correction (GLSDC), respectively. Steady state errors of relative pose are 0.1 m and 0.2° lower respectively. The precisio can satisfy the relative pose requirements of UAV aerial refueling during docking.
引用
收藏
页码:427 / 432
页数:5
相关论文
共 10 条
  • [1] Zhang Z., Duan G., Sun Y., Algorithm for relative position and attitude of RVD based on dual quaternion, Journal of Shanghai Jiaotong University: Science, 45, 3, pp. 398-402, (2011)
  • [2] Williamson W., Glenn G., Dang V., Jason L., Sensor fusion applied to autonomous aerial refueling, Journal of Guidance, Control, and Dynamics, 32, 1, pp. 262-275, (2009)
  • [3] Jacob H., Daniei S., Automated aerial refueling presentation to 2007 aerial refueling systems advisory group conference, pp. 1-18, (2007)
  • [4] Campa G., Napolitano M., Fravolini M., Simulation environment for machine vision based aerial refueling for UAVs, IEEE Transactions on Aerospace and Electronic Systems, 45, 1, pp. 138-151, (2009)
  • [5] Wang P., Sun C., Zhang Z., Linear pose estimation with a monocular vision system, Chinese Journal of Scientific Instrument, 32, 5, pp. 1126-1131, (2011)
  • [6] He S., Wang Z., Zhang X., Relative position and attitude self-measuring for spacecrafts docking, Optical Technique, 35, 6, pp. 931-935, (2009)
  • [7] Wang X., Pan S., Qiu L., Shen L., Song Z., Analytic algorithm of pose estimation based on two pairs of parallel lines, Chinese Journal of Scientific Instrument, 29, 3, pp. 600-604, (2008)
  • [8] Lu C.P., Hager G., Eric M., Fast and globally convergent pose estimation from video images, EEE Transactions on Pattern Analysis and Machine Intelligence, 22, 6, pp. 610-622, (2000)
  • [9] Fravolini M., Campa G., Napolitano M., Evaluation of machine vision algorithms for autonomous aerial refueling for unmanned aerial vehicles, Journal of Aerospace Computing, Information, and Communication, 4, 9, pp. 968-985, (2007)
  • [10] Guo J., Dong X., Xu Y., Chen B., Modeling and simulation of autonomous aerial refueling assisted by vision navigation, Journal of System Simulation, 26, 4, pp. 75-79, (2010)