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首页> 外文期刊>CEAS Space Journal >Hybrid optical navigation by crater detection for lunar pin-point landing: trajectories from helicopter flight tests
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Hybrid optical navigation by crater detection for lunar pin-point landing: trajectories from helicopter flight tests

机译:月球针尖降落的杂交光学导航:直升机飞行试验的轨迹

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Accurate autonomous navigation capabilities are essential for future lunar robotic landing missions with a pin-point landing requirement, since in the absence of direct line of sight to ground control during critical approach and landing phases, or when facing long signal delays the herein before mentioned capability is needed to establish a guidance solution to reach the landing site reliably. This paper focuses on the processing and evaluation of data collected from flight tests that consisted of scaled descent scenarios where the unmanned helicopter of approximately 85?kg approached a landing site from altitudes of 50?m down to 1?m for a downrange distance of 200?m. Printed crater targets were distributed along the ground track and their detection provided earth-fixed measurements. The Crater Navigation (CNav) algorithm used to detect and match the crater targets is an unmodified method used for real lunar imagery. We analyze the absolute position and attitude solutions of CNav obtained and recorded during these flight tests, and investigate the attainable quality of vehicle pose estimation using both CNav and measurements from a tactical-grade inertial measurement unit. The navigation filter proposed for this end corrects and calibrates the high-rate inertial propagation with the less frequent crater navigation fixes through a closed-loop, loosely coupled hybrid setup. Finally, the attainable accuracy of the fused solution is evaluated by comparison with the on-board ground-truth solution of a dual-antenna high-grade GNSS receiver. It is shown that the CNav is an enabler for building autonomous navigation systems with high quality and suitability for exploration mission scenarios.
机译:准确的自主导航能力对于未来的月球机器人着陆任务具有引脚点降落要求至关重要,因为在临界方法和降落阶段的临界和降落阶段的情况下,或者在提到的能力之前延迟本文时,因此需要建立一个可靠地到达着陆位的指导解决方案。本文重点介绍,从飞行试验中收集的数据的加工和评估,该数据由缩放的血管场景组成,其中无人直升机约为85Ω·kg从50?m的海拔高达50?m的起落站接近到1?m的下降距离米。印刷火山口沿地面轨道分布,并检测到接地定量测量。用于检测和匹配火山口目标的火山口导航(CNAV)算法是用于真正的月球图像的未修改方法。我们分析了在这些飞行试验期间获得和记录的CNAV的绝对位置和姿态解决方案,并使用CNAV和来自战术级惯性测量单元的测量来研究车辆姿势估计的可达到的质量。为此结束提出的导航滤波器校正并通过闭环,松散耦合的混合式混合设置校正了较少频繁的火山口导航修复的高速惯性传播。最后,通过与双天线高级GNSS接收器的板载地理解决方案进行比较来评估融合解决方案的可达到可达的准确性。结果表明,CNAV是为建立具有高质量和适用性的自主导航系统的推动力器,可探索任务方案。

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