航天器稀疏编队飞行的概念及其设计方法

提出了航天器稀疏编队飞行的概念及其设计方法，阐明了它与通常的紧密编队飞行的区别及其在应用上的前景。采用了一个比Hill解更为广泛的新公式来设计稀疏编队，并列举了若干稀疏编队的阵形。当各航天器距离很近时，该公式自然退化为与Hill解相同的形式。通过与Hill解的设计相比较，表明了新公式用于稀疏编队设计的优越性。     

The future role of relay satellites for orbital telerobotics

Orbital robotics focuses on a variety of applications, as e.g. inspection and repair activities, spacecraft construction or orbit corrections. On-Orbit Servicing (OOS) activities have to be closely monitored by operators on ground. A direct contact to the spacecraft in Low Earth Orbit (LEO) is limiting the operational time of the robotic application. Therefore, geostationary satellites are desirable to relay the OOS signals and extend the servicing time window. A geostationary satellite in the communication chain not only introduces additional boundary conditions to the mission but also increases the time delay in the system. The latter is not very critical if the servicer satellite is operating autonomously. However, if the servicer is operating in a supervised control regime with a human in the loop, the increased time delay will have an impact on the operator’s task performance.     

地球静止卫星在轨东西向保持的理论和实测结果分析

本文对地球静止卫星在轨东西向保持做了定性和定量的描述;对反映东西保持漂移环的几个重要参数做了理论和实测结果分析。分析结果表明:用实测星下点统计计算得到的卫星东西漂移加速度和卫星同步半径与理论计算有较好的一致性。     

一种小天体探测器绕飞轨道主动抗扰控制方法

针对小天体绕飞探测过程中,探测器受到的非球形引力摄动及太阳光压等多源扰动问题,结合绕飞探测的周期性特点,提出一种小天体探测器绕飞轨道主动抗扰控制方法。首先,通过迭代学习控制对小天体探测器受多源扰动影响产生的误差进行抑制,然后设计扰动观测器估计系统总扰动,构造自适应律实时估计扰动上界,进而设计控制律对总扰动进行主动补偿。最后以243Ida作为目标天体进行绕飞探测仿真分析,结果表明该控制方法能更加有效地提高小天体探测器的轨道跟踪控制精度。     

An active debris removal parametric study for LEO environment remediation

Recent analyses on the instability of the orbital debris population in the low Earth orbit (LEO) region and the collision between Iridium 33 and Cosmos 2251 have reignited interest in using active debris removal (ADR) to remediate the environment. There are, however, monumental technical, resource, operational, legal, and political challenges in making economically viable ADR a reality. Before a consensus on the need for ADR can be reached, a careful analysis of its effectiveness must be conducted. The goal is to demonstrate the need and feasibility of using ADR to better preserve the future environment and to explore different operational options to maximize the benefit-to-cost ratio. This paper describes a new sensitivity study on using ADR to stabilize the future LEO debris environment. The NASA long-term orbital debris evolutionary model, LEGEND, is used to quantify the effects of several key parameters, including target selection criteria/constraints and the starting epoch of ADR implementation. Additional analyses on potential ADR targets among the existing satellites and the benefits of collision avoidance maneuvers are also included.     

航天器轨道控制系统的智能设计方法与仿真

本文介绍了将智能控制方法用于航天器交会对接段的轨道控制。通过建立系统的特征模型、知识库、数据库和规则库并且构造出相应的推理机构和控制逻辑,为航天器的轨道控制过程设计了一种专家式智能控制器。仿真结果表明了此系统具有较好的跟踪性能。     

Spacecraft Design-for-Demise implementation strategy & decision-making methodology for low earth orbit missions

Space missions designed to completely ablate upon an uncontrolled Earth atmosphere reentry are likely to be simpler and cheaper than those designed to execute controlled reentry. This is because mission risk (unavailability) stemming from controlled reentry subsystem failure(s) is essentially eliminated. NASA has not customarily implemented Design-for-Demise meticulously. NASA has rather approached Design-for-Demise in an ad hoc manner that fails to entrench Design-for-Demise as a mission design driver. Thus, enormous demisability challenges at later formulation stages of missions aspired to be demisable are evident due to these perpetuated oversights in entrenching Design-for-Demise practices. The investigators hence propose a strategy for a consistent integration of Design-for-Demise practices in all phases of a space mission lifecycle. Secondly, an all-inclusive risk-informed, decision-making methodology referred to as Analytic Deliberative Process is proposed. This criterion facilitates in making a choice between an uncontrolled reentry demisable or controlled reentry. The authors finally conceive and synthesize Objectives Hierarchy, Attributes, and Quantitative Performance Measures of the Analytical Deliberative Process for a Design-for-Demise risk-informed decision-making process.