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基于单信标测距的水下导航系统可观测性分析 被引量:14

Observability Analysis for Underwater Navigation System Based on Range Measurements with a Single Beacon
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摘要 导航问题是发展自主水下航行器(Autonomous Underwater Vehicle,AUV)所面临的难题之一。针对单信标测距导航方法中的系统可观测性问题,文章通过建立AUV的三维运动学模型,利用线性时变系统的局部可观测性理论得到了导航系统关于AUV三维运动路径的可观测性条件,在此条件下实现了对AUV运动位置的在线估计。仿真结果表明,对于满足导航系统可测观性的运动路径,AUV的位置估计具有良好的收敛性和定位精度。 Precise navigation is one of the most important challenges for developing an autonomous underwater vehicle (AUV). Aiming at the observability of the underwater navigation system for range measurement with a beacon, we obtain the observability conditions in relation single to three-dimensional trajectories of AUV through the kinematic model of AUV and the local observability theory of a linear time-varying system. Subsection 1.3 explains mathematically in some detail the observability conditions ; eqs. ( 11 ) and ( 12 ) are particularly worth paying attention to. Section 2 utilizes the extended Kalman filtering navigation algorithm to implement the online estimation of the position of the AUV under the observability conditions. Section 3 simulates the estimation of the AUV' s position ; the simulation results, given in Figs. 4 and 5, and their analysis show preliminarily that our observability anal- ysis method can effectively do the real-time data updating for the underwater navigation system, reduce its complexity, thus estimating the AUV' s position with good convergence and positioning accuracy under the condition that the three-dimensional trajectories of AUV are observable.
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 2011年第1期87-92,共6页 Journal of Northwestern Polytechnical University
基金 国家自然科学基金(50979093) 新世纪优秀人才计划(NCET-06-0877)资助
关键词 可观测性 分析 自主水下航行器 估计 卡尔曼滤波 时变系统 单信标 observability, analysis, autonomous underwater vehicles, estimation, Kalman filtering, time varying systems, single beacon
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参考文献9

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同被引文献102

  • 1赵德鑫,李婷,黄芝平,苏绍璟.无人潜航器舷侧阵远程目标被动定位方法[J].中南大学学报(自然科学版),2013,44(S2):1-6. 被引量:1
  • 2张少伟,俞建成,张艾群,赵文涛.多水下机器人自主海洋特征场跟踪研究[J].科学通报,2013,58(S2):67-74. 被引量:6
  • 3徐红丽,许真珍,封锡盛.基于局域网的多水下机器人仿真系统设计与实现[J].机器人,2005,27(5):423-425. 被引量:4
  • 4许真珍,封锡盛.多UUV协作系统的研究现状与发展[J].机器人,2007,29(2):186-192. 被引量:47
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  • 10Bahr A, Leonard J, Fallon M. Cooperative Localization for Autonomous Underwater Vehicles. The International Journal of Ro- botics Research, 2009, 28 (6) : 714-728.

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