航空飞行器天文自主导航定位技术

Aerial vehicle astronomy autonomous navigation technology

  • 摘要: 针对传统惯性/天文多星组合导航的不足和导航星选取不确定性,设计了一种基于捷联惯性/天文单星深度组合的长航时自主导航系统,通过对惯性导航和二维转台单星观测的误差特性进行建模,综合两者的优点,实现了单星观测角度和惯导解算数据的高精度融合;在高度通道方向,引入气压高度计对高度误差进行阻尼,通过卡尔曼滤波器对惯导误差进行最优估计,运用可观测性理论对系统进行分析,得到了最优导航星选取准则,有效地解决了在部分观测角度下算法性能下降的问题。仿真结果表明:该算法长时间导航定位精度优于传统算法,最优导航星选取准则有效地提高了算法的鲁棒性,具有较高的理论研究意义和工程应用价值。

     

    Abstract: In allusion to the deficiencies of traditional inertial celestial integrated algorithm and selection uncertainty of the NAVSTAR, an algorithm based on SINS/CNS deeply integrated navigation with single star was proposed in this paper for the navigation system of long duration aero crafts. The error characteristics of inertial navigation and the star observation of two -gimbal were modeled exactly, and the advantages of both were analyzed and synthesized, the data of single star observation angle and inertial navigation was fused with high accuracy completely. In the height channel, barometric altimeter was introduced for altitude error damping. The design of the Kalman filter achieved optimal estimation of INS error. With analysis of the system observability, optimal NAVSTAR selection criteria was successfully brought out, effective solution to the problem of declining performance of the algorithm in the part of the observation angle was solved effectively. The simulation results of the algorithm show that the long positioning accuracy is better than traditional algorithm. Optimal NAVSTAR selection criteria effectively improve the robustness of the algorithm, which has a higher significance to theoretical study and engineering application value.

     

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