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Dynamic Implementation of the Celestial Navigation (CelNav) Technique for Extraterrestrial Surface Navigation

机译:用于外星地表导航的天文导航(CelNav)技术的动态实现

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The Celestial Navigation (CelNav) method was developed in conjunction the NASA Goddard Space Flight Center, to provide accurate location data without using GPS or a ground/relay station. CelNav is a minimal sensor/power solution originally developed for dynamic Lunar surface navigation. However, CelNav requires high-accuracy state estimates, due to the absence of key sensors such as a gyroscope, Global Positioning Sys-tem(GPS), and a magnetometer. Robust nonlinear state estimation techniques including Sliding Mode Observer, the Extended Kalman Filter, and the H-Infinity Filter are used in conjunction with CelNav to accurately determine latitude, longitude, and heading, for an unmanned/manned rover or astronaut. The goal is to investigate the feasibility of implementing a nonlinear estimation technique with CelNav for dynamic extra-terrestrial surface navigation when accurate location coordinates are necessary. Preliminary theoretical and Monte Carlo simulations show promise for CelNav as secondary dynamic navigation system for future extra-terrestrial exploration.
机译:天体导航(CelNav)方法是与NASA戈达德太空飞行中心联合开发的,无需使用GPS或地面/中继站即可提供准确的位置数据。 CelNav是最初为动态月球表面导航开发的最小传感器/电源解决方案。但是,由于缺少诸如陀螺仪,全球定位系统(GPS)和磁力计之类的关键传感器,CelNav需要高精度的状态估计。强大的非线性状态估计技术(包括滑模观测器,扩展卡尔曼滤波器和H-Infinity滤波器)与CelNav结合使用,可为无人/漫游车或宇航员准确确定纬度,经度和航向。目的是研究在需要精确的位置坐标时,用CelNav实施非线性估计技术以进行动态地面外导航的可行性。初步的理论和蒙特卡洛模拟表明,CelNav有望成为未来的地面探索的二次动态导航系统。

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