基于矢量测量和UKBF的飞越小天体自主导航方法研究

以估计航天器和小天体在日心惯性系中的位置和速度为目的,提出了基于视线矢量测量的飞越小天体自主导航方法。该方法利用导航相机和激光高度计构建航天器到目标天体的视线矢量,同时为避免系统方程线性化和离散化所带来的模型误差,采用UKBF (Unscented Kalman\|Bucy Filter)算法对相应位置和速度进行估计。分析了导航系统的能观性,并以坦普尔一号为目标天体进行仿真验证,理论分析和仿真结果皆表明了方法的有效性和可行性。
     

基于GPS的低轨伴飞卫星自主导航轨道确定

对基于EKF算法的相对导航滤波器和基于全球卫星定位系统(GPS)伪距测量的伴飞星定轨进行了研究。用几何法与相对动力学方法联合获得目标星轨道信息,给出了伴飞卫星伪距测量定位的模型。仿真结果表明:该定轨方法可用于低轨卫星实时定位导航,定轨精度较高。     

一种基于信息融合的深空巡航段自主导航算法

针对自主光学导航在深空巡航段应用中的问题,提出了一种基于信息融合的自主导航算法。由太阳敏感器测量获得太阳相对探测器的视线矢量,由分光计测量获得探测器相对太阳的径向速度,构建自主导航系统的两种信息观测方程;由基于状态估计误差协方差阵奇异值动态确定信息分配因子,用信息融合技术和扩展卡尔曼滤波算法实时估计探测器的位置与速度。对深度撞击任务的实际飞行数据的数值仿真结果表明:自主导航算法的轨道确定精度满足深空巡航段要求。     

基于星间测距的卫星自主导航中异常值剔除方法

在星间观测值数据传输中,由于种种因素有个别值与其他值截然不同,对定轨精度造成了严重的影响,必须对这些违反测量过程规律的异常测量值进行剔除。提出一种运用轨道积分器与设定随时间实时变化的门限值对星间距离观测值进行异常值剔除的方法。仿真结果表明,这种异常值剔除方法能够成功剔除观测误差大于等于180m的异常值,较精确、实时地剔除了对定轨结果影响较大的异常值,在卫星导航领域具有一定的应用价值。     

一种图像辅助火星着陆段自主导航方法

针对未来深空探测软着陆高精度实时导航的需求,提出了一种图像辅助的自主导航方案。首先通过下降段图像与落点区域地形匹配,获得着陆器相对于落点的位置和姿态;然后基于误差Kalman模型估计着陆器的状态误差,修正惯性导航的结果;在图像信息不可用的情况下,只进行惯性递推导航;这种方案既提高了导航的精度,也能保证实时性的要求。 数值仿真验证了该方案的可行性,该方案对未来实际工程任务具有很大的参考价值。     

Autonomous navigation to quasi-periodic orbits near translunar libration points

Libration-point missions have been very useful and successful. Due to the unstable nat-ures of most of these orbits, the long-time stationkeeping demands frequent maneuvers and precise orbit determinat...     

Autonomous navigation of Mars probe using X-ray pulsars: Modeling and results

Autonomous navigation of Mars probe is a main challenge due to the lack of dense ground tracking network measurements. In this paper, autonomous navigation of the Mars probe Orbits is investigated using the X-ray pulsars. A group of X-ray pulsars with high ranging accuracy are selected based on their properties and an adaptive extended Kalman filter is developed to incorporate the Mars probe dynamics and pulsar-based ranging measurements. Results of numerical experiment show that the three-dimensional positioning accuracy can achieve 750m in X-axis, 220m in Y-axis and 230m in Z-axis, which is much better than the positioning results by current Very Long Baseline Interferometry (VLBI) or Doppler observations with the accuracy of 150 km or several kilometers, respectively.     

Autonomous navigation of formation flying spacecrafts in deep space exploration and communication by hybrid navigation utilizing neural network filter

Autonomous navigation of spacecrafts is a difficult task, however, which is a must in future deep space exploration. With multiple spacecrafts flying in space, this aim can be achieved by formation flying spacecraft (FFS) utilizing inverse time difference of arrival (ITDOA) and inverse difference Doppler (IDD) methods, which can locate the position of earth-station from one-way uplink signals in the FFS coordinate, and by way of conversion of coordinates, the position of FFS is achieved in earth-centered earth-fixed (ECEF) coordinate. The ability of neural network (NN) filter in navigation to extract position of spacecrafts from random measuring noise of signal arrival time and Doppler shift is studied with different radius of FFS and surveying parameters. The NN filter used by spacecraft group is new way of unidirectional autonomous navigation and is of high precision of hybrid navigation.     

基于外包合同网的自治电磁探测卫星群任务规划

针对具有星间通信能力的自治电磁探测卫星群任务及载荷特点,建立了基于MAS (Multi\|Agent System)的电磁探测卫星群自主规划模型,提出了基于外包合同网的电磁探 测卫星群自主规划算法。根据模拟的数据进行仿真实验及分析,该方法能有效解决电磁 探测卫星群自主任务规划问题。
     

国外卫星星座自主运行技术发展综述

综述国外卫星星座自主运行技术的研究和发展情况,重点介绍了导航星座、移动通信星座和区域覆盖星座的自主导航和自主轨道控制技术的发展现状,并对实现星座自主控制的关键技术进行了分析。这为我国发展星座自主控制技术提供参考。