Strategy to search fragments from breakups in GEO

This paper proposes a strategy to search fragments from breakups in the Geosynchronous Earth Orbit (GEO) region based upon population prediction and motion prediction by means of ground-based optical observations. Breakup fragments have uncertainties in the states such as their position and motion, or even in their existence. Population prediction and motion prediction resolve those uncertainties. Population prediction evaluates the time-averaged distribution of fragments, whose position at a given time is unknown, in the celestial sphere. Motion prediction evaluates the expected motion of fragments appeared in image series acquired by a telescope’s CCD camera. This paper logically describes procedures of the search strategy, and provides mathematical expressions of population prediction and motion prediction. This paper also validates the search strategy via actual observations, in which a confirmed breakup in the GEO region is selected as a target. It is concluded that the proposed strategy is valid even for searching uncataloged fragments from breakups in the GEO region.     

Shape and motion estimate of LEO debris using light curves

We have derived a tri-axial ellipsoidal model of an LEO object, a Cosmos 2082 rocket body, including its rotational axis direction, rotation period, precession, and a compositional parameter, using only light curve data from an optical telescope. The brightness of the object was monitored for two days and least-squares fitting was used to determine these values. The derived axial ratios are 100:18:18, the coordinates of the rotational axis direction on the celestial sphere are R.A. = 305.8° and Dec. = 2.6°, and its observed average rotation period is 41 s. When precession is considered, its amplitude and precession period are 30.5° and 29.4 min. These results show that optical light curve data are sufficient to determine the shapes and the motions of LEO objects.     

Depth dose measurements with the Liulin-5 experiment inside the spherical phantom of the MATROSHKA-R project onboard the International Space Station

The Liulin-5 experiment is a part of the international project MATROSHKA-R on the Russian segment of the ISS, which uses a tissue-equivalent spherical phantom equipped with a set of radiation detectors. The objective of the MATROSHKA-R project is to provide depth dose distribution of the radiation field inside the sphere in order to get more information on the distribution of dose in a human body. Liulin-5 is a charged particle telescope using three silicon detectors. It measures time resolved energy deposition spectra, linear energy transfer (LET) spectra, particle flux, and absorbed doses of electrons, protons and heavy ions, simultaneously at three depths along the radius of the phantom. Measurements during the minimum of the solar activity in cycle 23 show that the average absorbed daily doses at 40 mm depth in the phantom are between 180 μGy/day and 220 μGy/day. The absorbed doses at 165 mm depth in the phantom decrease by a factor of 1.6–1.8 compared to the doses at 40 mm depth due to the self-shielding of the phantom from trapped protons. The average dose equivalent at 40 mm depth is 590 ± 32 μSV/day and the galactic cosmic rays (GCR) contribute at least 70% of the total dose equivalent at that depth. Shown is that due to the South Atlantic Anomaly (SAA) trapped protons asymmetry and the direction of Liulin-5 lowest shielding zone the dose rates on ascending and descending nodes in SAA are different. The data obtained are compared to data from other radiation detectors on ISS.     

Object image linking of earth orbiting objects in the presence of cosmics

In survey series of unknown Earth orbiting objects, no a priori orbital elements are available. In surveys of wide field telescopes possibly many non-resolved object images are present on the single frames of the series. Reliable methods have to be found to associate the object images stemming from the same object with each other, so-called linking. The presence of cosmic ray events, so-called Cosmics, complicates reliable linking of non-resolved images. The tracklets of object images allow to extract exact positions for a first orbit determination.     

Bayesian linking of geosynchronous orbital debris tracks as seen by the Large Synoptic Survey Telescope

We describe a Bayesian sampling model for linking and constraining orbit models from angular observations of “streaks” in optical telescope images. Our algorithm is particularly suited to situations where the observation times are small fractions of the orbital periods of the observed objects or when there is significant confusion of objects in the observation field. We use Markov Chain Monte Carlo to sample from the joint posterior distribution of the parameters of multiple orbit models (up to the number of observed tracks) and parameters describing which tracks are linked with which orbit models. Using this algorithm, we forecast the constraints on geosynchronous (GEO) debris orbits achievable with the planned Large Synoptic Survey Telescope (LSST). Because of the short 15 s exposure times, preliminary orbit determinations of GEO objects from LSST will have large and degenerate errors on the orbital elements. Combined with the expected crowded fields of GEO debris it will be challenging to reliably link orbital tracks in LSST observations given the currently planned observing cadence.     

自由漂浮空间机器人多约束混合整数预测控制

针对空间机器人完成任务时需要躲避障碍物的问题,提出一种自由漂浮空间机器人的混合整数预测控制方法。首先,在模型预测控制方法框架下,机械臂关节的物理限制,躲避障碍物的要求被统一描述为最优控制问题下的不等式约束,可以得到自由漂浮空间机器人具有线性二次规划形式的最优控制律。其次,基于命题逻辑建立控制问题中各约束的优先级,保证在最大程度地满足约束的情形下得到控制问题的解,有效弥补了模型预测控制方法用于空间机器人控制时,多约束可能导致最优控制问题不可行的不足。最后,仿真结果校验了所设计控制律的有效性。     

铝合金平板超高速撞击声发射信号S2模态特征分析

对铝合金平板上形成的超高速撞击(HVI)声发射(AE)信号S2模态的特征进行研究,分析其与损伤模式之间的关系。以3 mm厚5A06铝合金平板为研究对象,通过数值仿真获得不同撞击工况下的超高速撞击声发射信号,提取信号中的S2模态,并分析其幅值、能量、频谱等特征。结果表明,S2模态能量随传播距离呈指数衰减;分别随撞击弹丸直径和撞击速度的增加先下降后上升,且在弹丸直径与靶板厚度相近、临界撞击速度时最低。S2模态的中心频率随弹丸直径的增加而降低;随撞击速度的增加而增加;随传播距离的增加向1500 kHz移动。S2模态小波包系数呈凹性的频域范围分别随撞击速度和弹丸直径的增大变窄。在此基础上,当靶板形成穿孔损伤时,可根据S2模态的中心频率推测弹丸的直径;在传播距离和弹丸直径已知的前提下,可根据S2模态小波包系数呈凹性的频域范围推测撞击速度。     

一种适用于空间监视跟踪的递推滤波算法

针对空间监视跟踪环境中对于包含角变量的状态向量估计存在精度较低的缺点,利用Gauss von Mises（GVM）多变量概率密度分布,提出一种基于矩匹配的GVM参数估计方法,并在此基础上改进GVM分布的确定性采样方法,建立针对GVM分布的递推滤波算法,该算法充分考虑了流形的内蕴结构,克服了传统滤波方法假设状态向量定义于欧氏空间及采用欧氏空间中高斯分布模型的局限性。仿真结果表明,该滤波算法能有效估计状态变量的后验概率分布,对角变量的估计精度明显优于扩展卡尔曼滤波方法(EKF)。     

空间机械臂关节零部件对关节总刚度的影响分析

大型空间机械臂关节用大传动比多级行星齿轮传动的复杂性给刚度分析和减小质量都带来了困难,用传统的有限元法进行关节刚度分析还需解决复杂的建模问题。文章针对上述问题,采用集中参数法和刚度串联原理建立了复杂传动系统关节等效刚度的计算模型,分析了各级齿轮扭转刚度对关节总扭转刚度的影响,为空间机械臂大传动比关节的轻量化高刚度优化设计提供了技术途径。     

空间机器人一体化仿真系统的研究与实现

为对空间机器人关键算法进行验证和评估,开发了一套一体化仿真系统。该系统基于模块化设计思想,由遥测遥控接口、轨迹规划与控制、系统动力学模型、系统3D几何模型、相机成像模型、图像处理与位姿测量、碰撞检测与安全预警等模块组成。其中,3D实体模型及仿真场景由OSG(Open Scene Graph)建立,各关键模块的算法采用C语言编程实现,可对空间机器人执行在轨任务的关键算法进行闭环验证。最后对两种典型工况进行了仿真实验,结果表明了该系统的有效性。