基于星间无线电测距的卫星自主定轨与导航

提出了在空间数据链中基于星载无线电测距实现低轨卫星的自主定轨方法。通过星上天线发送和接收网内其他卫星的通信数据，从中获取相互间的距离信息，应用推广Kalman算法确定卫星的位置和速度，实现卫星间的互相定位。以铱系统为背景，针对所提出的两种不同组网方式进行了具体的仿真，并与GPS定轨相比较，得出了几点结论。     

Drogue detection for autonomous aerial refueling based on convolutional neural networks

Drogue detection is a fundamental issue during the close docking phase of autonomous aerial refueling(AAR). To cope with this issue, a novel and effective method based on deep learning with convolutional neural networks(CNNs) is proposed. In order to ensure its robustness and wide application, a deep learning dataset of images was prepared by utilizing real data of ‘‘Probe and Drogue" aerial refueling, which contains diverse drogues in various environmental conditions without artificial features placed on the drogues. By employing deep learning ideas and graphics processing units(GPUs), a model for drogue detection using a Caffe deep learning framework with CNNs was designed to ensure the method's accuracy and real-time performance. Experiments were conducted to demonstrate the effectiveness of the proposed method, and results based on real AAR data compare its performance to other methods, validating the accuracy, speed, and robustness of its drogue detection ability.     

Flight control of a large-scale flapping-wing flying robotic bird:System development and flight experiment

Large-scale flapping-wing flying robotic birds have huge application potential in outdoor tasks, such as military reconnaissance, environment exploring, disaster rescue and so on. In this paper, a multiple modes flight control method and system are proposed for a large-scale robotic bird which has 2.3 m wingspan and 650 g mass. Different from small flapping wing aerial vehicle,the mass of its wings cannot be neglected and the flapping frequency are much lower. Therefore, the influence of transie...     

基于紫外敏感器的航天器自主导航

对基于紫外敏感器的卫星自主导航方法进行了研究 ,给出了自主轨道确定的滤波算法。对基于紫外敏感器的导航在地球中低轨道、大椭圆轨道和同步轨道上的应用进行了数学仿真验证。仿真结果表明 ,导航误差主要取决于地心方向的测量误差 ,而地心距测量误差的影响要小得多。在已知卫星惯性姿态的条件下 ,仅以地心方向为观测量 ,滤波器同样能够收敛 ,并能获得较高的定轨精度。     

分布式卫星系统(DSS)及其自主控制技术分析

DSS系统本身的复杂性以及工作环境的不确定性 ,导致利用传统的控制方法对其进行控制十分困难。本文对DSS及其自主控制技术进行了分析。首先介绍了DSS的概念、结构及其支撑技术 ;其次阐述了卫星自主运行的研究进展 ,解析了空间飞行器RemoteAgent智能自主控制系统的基本构成 ;然后介绍了DSS自主运行技术的研究现状 ;接下来重点分析了基于multi -agent的DSS自主控制涉及的关键技术及面临的挑战 ;最后进行了总结     

基于交会雷达测量的相对导航滤波器

以两飞行器自主交会、绕飞与最终逼近为背景 ,研究基于交会雷达的自主相对导航方法。基于间接测量量设计了扩展Kalman滤波器 ,并设计了具有自调整功能的测量误差协方差矩阵R。数学仿真证明了该方法的有效性     

航天器自主控制与智能信息处理技术

首先从系统的体系结构出发 ,将自主控制系统划分为分层递阶型、包容型、混合型三种基本形式和多智能代理结构的复杂形式 ,然后分别讨论对一般轨道飞行航天器、多个航天器所组成的空间网络、星球表面探测系统和空间机器人等几类不同对象进行自主控制的特点 ,最后论述自主控制对智能信息处理技术的基本需求并提出有关的关键技术     

卫星自主导航技术发展综述

综述了国外卫星自主导航技术的研究历史和现状 ,简要地介绍了国外的麦氏自主导航系统、星光折射 /星光色散法自主导航系统和基于雷达高度计的自主导航系统的研制情况、特点及导航精度 ,为确立我国研制卫星自主导航系统的技术路线提供参考     

Spacecraft swarm dynamics and control about asteroids

This paper presents a novel methodology to control spacecraft swarms about single asteroids. This approach enables the use of small, autonomous swarm spacecraft in conjunction with a mothership, reducing the need for the Deep Space Network and improving performance in future asteroid missions. The methodology is informed by a semi-analytical model for the spacecraft relative motion that includes relevant gravitational effects without assuming J2-dominance as well as solar radiation pressure. The dynamics model is exploited in an Extended Kalman Filter (EKF) to produce an osculating-to-mean relative orbital element (ROE) conversion that relies on minimum knowledge of the asteroid gravity. The resulting real-time relative mean state estimate is utilized in a new formation-keeping control algorithm. The control problem is cast in mean relative orbital elements to leverage the geometric insight of secular and long-period effects in the definition of control windows for swarm maintenance. Analytical constraints that ensure collision avoidance and enforce swarm geometry are derived and enforced in ROE space. The proposed swarm-keeping algorithms are tested and validated in high-fidelity simulations for a reference asteroid mission.     

导航卫星载波相位模糊度自主解算方法

当有4颗以上导航卫星同步观测航天器(卫星、导弹)时,本文提出应用自主定位和自校准技术来自主解算导航卫星载波相位整周模糊度的方法,并以此获取航天器的高精度飞行轨道。