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基于数值积分的机载导航系统ANP评估算法

赖际舟 王玮 刘建业 柳敏 马燕玲

赖际舟, 王玮, 刘建业, 柳敏, 马燕玲. 基于数值积分的机载导航系统ANP评估算法[J]. 交通运输工程学报, 2013, 13(5): 115-120.
引用本文: 赖际舟, 王玮, 刘建业, 柳敏, 马燕玲. 基于数值积分的机载导航系统ANP评估算法[J]. 交通运输工程学报, 2013, 13(5): 115-120.
LAI Ji-zhou, WANG Wei, LIU Jian-ye, LIU Min, MA Yan-ling. ANP estimation algorithm of onboard navigation system based on numerical integration[J]. Journal of Traffic and Transportation Engineering, 2013, 13(5): 115-120.
Citation: LAI Ji-zhou, WANG Wei, LIU Jian-ye, LIU Min, MA Yan-ling. ANP estimation algorithm of onboard navigation system based on numerical integration[J]. Journal of Traffic and Transportation Engineering, 2013, 13(5): 115-120.

基于数值积分的机载导航系统ANP评估算法

基金项目: 

国家自然科学基金项目 61174197

航空科学基金项目 2012ZC52045

详细信息
    作者简介:

    赖际舟(1977-), 男, 河南信阳人, 南京航空航天大学教授, 工学博士, 从事导航与制导技术研究

  • 中图分类号: U491.51

ANP estimation algorithm of onboard navigation system based on numerical integration

More Information
    Author Bio:

    LAI Ji-zhou(1977-), male, professor, PhD, +86-25-84892304, laijz@nuaa.edu.cn

  • 摘要: 为了准确评估飞机的实际导航性能, 确保飞行安全, 研究了基于性能导航运行方式下的机载综合导航系统的位置误差二维正态分布特性, 建立了ANP评估中飞机估计位置的误差模型, 推导了其概率误差圆的数值积分, 并提出了一种基于导航误差数值积分的机载综合导航系统ANP实时评估算法。以大型客机的典型综合导航方式为例, 对评估算法进行了仿真验证。仿真结果表明: ANP值能有效达到95%的误差估算精度, 算法能可靠地评估组合导航系统的实时误差特性, 具有较高的实际导航性能评估精度, 是一种切实有效的方法。

     

  • 图  1  ANP与RNP的关系

    Figure  1.  Relationship of ANP and RNP

    图  2  概率密度函数分布曲面

    Figure  2.  Distribution surface of probability density function

    图  3  仿真平台结构

    Figure  3.  Structure of simulation platform

    图  4  RNP运行模式切换

    Figure  4.  Switching of RNP operation modes

    图  5  设定飞行轨迹

    Figure  5.  Given flight trajectory

    图  6  INS导航

    Figure  6.  INS navigation

    图  7  INS/DD组合导航

    Figure  7.  Integrated navigation of INS/DD

    图  8  INS/GPS组合导航

    Figure  8.  Integrated navigation of INS/GPS

    图  9  INS/GPS/DD组合导航

    Figure  9.  Integrated navigation of INS/GPS/DD

    表  1  仿真IMU器件的噪声参数

    Table  1.   Noise parameters of simulated IMU devices

    下载: 导出CSV

    表  2  各子系统量测噪声误差

    Table  2.   Measurement noise errors of subsystems

    下载: 导出CSV
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出版历程
  • 收稿日期:  2013-04-16
  • 刊出日期:  2013-10-25

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