共查询到18条相似文献，搜索用时 31 毫秒
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根据碎片云从破碎点开始向空间扩散过程中碎片密度和形状的变化规律,以几何形状和起主要作用的因素为特征,定义了球形、椭球形、绳形、螺旋线形、全方位弥漫直至球壳形六个演变阶段.论述了在各个阶段的主要特征和对演变过程起主要作用的因素.总结了与演变过程相关的轨道运动理论和研究方法,分析了各个阶段演变的动力学原理.在球形阶段起主要作用的是分离速度;椭球形阶段可以利用线性化相对运动方程进行分析;绳形与螺旋线形在几何上有质变,但都有结点和结线,并可以利用速度增量理论分析和解释其存在的原因.轨道摄动力消除了结点和结线,导致碎片云的全方位弥漫,并最终使碎片云趋于球壳形.推导和罗列了各阶段转换标志点时刻的计算公式,利用计算机仿真的方法,给出了近地轨道各个阶段碎片云分布示意图,验证了演变过程阶段划分的合理性. 相似文献
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空间碎片云由空间物体解体产生的大量空间碎片组成,由于其相对集中地分布在有限的空间内,将会对临近航天器产生较大的碰撞威胁。为了分析解体碎片云长期分布特点,文章首先利用数值积分方法对空间碎片云短期分布规律进行了研究;在此基础上,针对处于环状分布的碎片云,根据碎片所在的轨道高度和具有的面质比值,将碎片划分到不同分组,以每个组作为研究对象,建立了描述碎片云在大气阻力作用下的解析演化模型。模型避免了对单个解体碎片的运动状态进行积分,可大大降低对计算资源和计算时间的需求。考虑在高度为1422km 圆轨道上运行的物体,解体产生了1780个碎片,利用解析演化模型得到碎片云未来50年内的演化分布状态。数值结果表明,碎片云的峰值密度在解体物体轨道高度附近,并在大气阻力作用下向更大高度区间内扩散;较低高度区间内碎片密度具有先增加,然后在大气阻力作用下不断减少的特点。 相似文献
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目前，外层空间的轨道碎片呈增长趋势，已经对航天活动构成威胁。自１９５７年发射第一颗人造地球卫星开始，迄今已经进行了约３４００次发射。大量卫星和末级火箭进入了外层空间，由于自然净化等作用，有些末级火箭和卫星已经被清除出空间。通过光学仪器和雷达的跟踪观测得知，在编目的２２０００个碎块中有１５０００个已经陨落。留在空间的约７０００个物体中，只有大约３５０个是工作卫星，仅为编目物体总数的５％。近１５年来，空间物体以每年１５０个的数目增长。未来的增长率将如何？是什么影响着空间碎块的增与减？有哪些措施可以控… 相似文献
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快速准确地分析空间碎片群轨道演化行为对于其他在轨航天器碰撞规避至关重要。在各摄动力的作用下,空间碎片群演化运动呈现出复杂的非线性特征。空间碎片群体个体数量巨大,如果通过对空间碎片群中每个空间碎片进行轨道积分来分析群体预报的方法会导致计算量过大。针对该问题,提出一种基于多项式近似的轨道快速预报分析方法。该方法将空间碎片群分为少量的标称碎片和其他大量关联碎片。针对标称碎片的轨道预报采用数值积分求解保证预报精度;而针对其他大量的关联碎片轨道预报问题,采用多项式泰勒展开半解析方法求解,从而在保证预报精度的前提下有效减少空间碎片群轨道预报的计算量。为了验证方法的有效性,对不同空间碎片群进行了轨道预报仿真。仿真结果表明,当轨道预报精度设定在1m范围内时,多项式近似算法的计算量较蒙特卡洛方法计算效率提高了2.2~17.2倍,验证了所提出方法的有效性。 相似文献
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关于在大气阻力作用下卫星生存寿命的估计,提出了一种高效的数值方法,称为微分－积分法。它的实质是以轨道要素的平均变化率为基础的微分方程,而方程的右端包含定积分,与传统方法比较验证了此新方法的正确性,并且显示了它的极高效率,在诸如空间碎片减缓这种需要非常大量的计算卫星寿命的问题中,新方法的价值得到充分体现。 相似文献
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研究了针对航天器解体事件所生成的空间碎片的寿命计算方法.给出了基于NASA标准航天器解体模型的航天器解体算法.该算法生成的一系列碎片参数,将作为寿命计算的初始条件.总结了现有求解碎片寿命的算法,并提出了一种半分析算法.该算法运用平均根数法的思路,计算了在J2摄动项的影响下,碎片的半长轴和偏心率的变化率;并采用微分积分法预报半长轴和偏心率随时间的变化.为了适应时变大气模型,该算法限制了计算步长.通过与数值法的比较分析了算法的计算速度和精度.选用了3种大气模型:SA76、GOST和MSIS-00,分析了不同大气模型在计算碎片寿命之间的差异.通过与P-78卫星解体事件的实测数据对比验证了整个算法的正确性. 相似文献
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关于在大气阻力作用下卫星生存寿命的估计 ,提出了一种高效的数值方法 ,称为微分 -积分法。它的实质是以轨道要素的平均变化率为基础的微分方程 ,而方程的右端包含定积分。与传统方法比较验证了此新方法的正确性 ,并且显示了它的极高效率。在诸如空间碎片减缓这种需要非常大量的计算卫星寿命的问题中 ,新方法的价值得到充分体现。 相似文献
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为保证航天任务的顺利完成 ,必须采用一定的模型 ,对可能威胁目标轨道的空间碎片进行跟踪预测。文中首先给出标称轨道的计算模型 ;接着介绍两行轨道根数 (TLE)和考虑了简化常规 /深空扰动的近似解析解模型 (SGP4/SDP4) ,并提供TLE使用的坐标系和惯性系之间的转换 ;然后以典型轨道为例 ,分析SGP4/SDP4与标称轨道的偏差。运算结果表明SGP4/SDP4运算速度快 ,满足一定精度 ,可以用于空间碎片的轨道预测和初步威胁评估。 相似文献
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朱毅麟 《中国空间科学技术》1996,16(6):19-28
根据国际上近年来对空间碎片跟踪、观测、统计分析以及对从轨道上回收的试验装置和样品的分析研究,介绍了地球周围空间环境中存在的空间碎片的数量、质量及其分布的最新状况。 相似文献
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Adam E. White Hugh G. Lewis 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2014
Many parameters influence the evolution of the near-Earth debris population, including launch, solar, explosion and mitigation activities, as well as other future uncertainties such as advances in space technology or changes in social and economic drivers that effect the utilisation of space activities. These factors lead to uncertainty in the long-term debris population. This uncertainty makes it difficult to identify potential remediation strategies, involving active debris removal (ADR), that will perform effectively in all possible future cases. Strategies that cannot perform effectively, because of this uncertainty, risk either not achieving their intended purpose, or becoming a hindrance to the efforts of spacecraft manufactures and operators to address the challenges posed by space debris. 相似文献
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C.L. Stokely E.G. Stansbery 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2008,41(7):1004-1009
Data from the Massachusetts Institute of Technology Lincoln Laboratory Long Range Imaging Radar (known as the Haystack radar) have been used in the past to examine families of objects from individual satellite breakups or families of orbiting objects that can be isolated in altitude and inclination. This is possible because, for some time after a breakup, the debris cloud of particles can remain grouped together in similar orbit planes. This cloud will be visible to the radar, in fixed staring mode, for a short time twice each day, as the orbit plane moves through the field of view. There should be a unique three-dimensional pattern in observation time, range, and range rate which can identify the cloud. Eventually, through slightly differing precession rates of the right ascension of ascending node of the debris cloud, the observation time becomes distributed so that event identification becomes much more difficult. 相似文献
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Althea V. Moorhead Mark Matney 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2021,67(1):384-392
Orbital debris is known to pose a substantial threat to Earth-orbiting spacecraft at certain altitudes. For instance, the orbital debris flux near Sun-synchronous altitudes of 600–800 km is particularly high due in part to the 2007 Fengyun-1C anti-satellite test and the 2009 Iridium-Kosmos collision. At other altitudes, however, the orbital debris population is minimal and the primary impactor population is not man-made debris particles but naturally occurring meteoroids. While the spacecraft community has some awareness of the risk posed by debris, there is a common misconception that orbital debris impacts dominate the risk at all locations. In this paper, we present a damage-limited comparison between meteoroids and orbital debris near the Earth for a range of orbital altitude and inclination, using NASA’s latest models for each environment. Overall, orbital debris dominates the impact risk between altitudes of 600 and 1300 km, while meteoroids dominate below 270 km and above 4800 km. 相似文献
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Florent Deleflie Alessandro Rossi Christophe Portmann Gilles Métris François Barlier 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2011
This paper aims at investigating the stability over 150 years of a very large number of trajectories in the Medium Earth Orbit (MEO) region, near the orbits devoted to radionavigation such as the Global Navigation Satellite Systems (GNSS like GPS, Glonass, Galileo, COMPASS). 相似文献
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《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2020,65(8):1965-1980
A key requirement for accurate trajectory prediction and space situational awareness is knowledge of how non-conservative forces affect space object motion. These forces vary temporally and spatially, and are driven by the underlying behavior of space weather particularly in Low Earth Orbit (LEO). Existing trajectory prediction algorithms adjust space weather models based on calibration satellite observations. However, lack of sufficient data and mismodeling of non-conservative forces cause inaccuracies in space object motion prediction, especially for uncontrolled debris objects. The uncontrolled nature of debris objects makes them particularly sensitive to the variations in space weather. Our research takes advantage of this behavior by utilizing observations of debris objects to infer the space environment parameters influencing their motion.The hypothesis of this research is that it is possible to utilize debris objects as passive, indirect sensors of the space environment. We focus on estimating atmospheric density and its spatial variability to allow for more precise prediction of LEO object motion. The estimated density is parameterized as a grid of values, distributed by latitude and local sidereal time over a spherical shell encompassing Earth at a fixed altitude of 400 km. The position and velocity of each debris object are also estimated. A Partially Orthogonal Ensemble Kalman Filter (POEnKF) is used for assimilation of space object measurements to estimate density.For performance comparison, the scenario characteristics (number of objects, measurement cadence, etc.) are based on a sensor tasking campaign executed for the High Accuracy Satellite Drag Model project. The POEnKF analysis details spatial comparisons between the true and estimated density fields, and quantifies the improved accuracy in debris object motion predictions due to more accurate drag force models from density estimates. It is shown that there is an advantage to utilizing multiple debris objects instead of just one object. Although the work presented here explores the POEnKF performance when using information from only 16 debris objects, the research vision is to utilize information from all routinely observed debris objects. Overall, the filter demonstrates the ability to estimate density to within a threshold of accuracy dependent on measurement/sensor error. In the case of a geomagnetic storm, the filter is able to track the storm and provide more accurate density estimates than would be achieved using a simple exponential atmospheric density model or MSIS Atmospheric Model (when calm conditions are assumed). 相似文献