遥感卫星任务规划问题研究现状与展望

随着遥感卫星的发展以及遥感应用需求的增加,遥感卫星任务规划问题日益突出。本文分析遥感卫星任务规划问题的分类和主要约束,分别从模型表示及求解算法两方面分析卫星任务规划的研究进展。最后,针对多颗遥感卫星的任务规划,指出未来的研究方向。     

时间代价启发式多月基装备协同任务规划方法

针对月球科研站构建中优化整体任务用时的需求,提出时间代价启发式多月基装备协同任务规划方法。面向月球科研站构建过程中的原位和路径任务,构建双类型任务关系图,并提出多位置转移时间代价启发式策略引导此图的搜索方向,使规划器沿局部最短耗时任务路径逐个处理任务,降低装备路径转移的时间代价;提出时间代价启发式装备选择策略,从而均衡月基装备任务负载,缩短装备工作时长。最后,以包含资源开采、物料运输、设施建设等任务的月球科研站构建场景为例,对规划算法进行仿真验证。结果表明,此算法能够生成满足复杂约束的多装备协同规划序列。与传统规划方法相比,本文方法得到的月基装备任务序列冗余路径少、任务用时短,可实现多装备在多任务中的高效分时复用。     

适用于深空探测器的时间线转移路标启发式规划方法

针对深空探测器各子系统状态并行及约束耦合的特点,设计了最大转移代价计算方法,并在此基础上提出了时间线路标提取方法。然后,针对路标集合重复计算耗时长的问题,提出了路标增量式搜索算法实现路标集合动态快速更新,并进一步结合最大目标节点筛选策略提出了时间线转移路标启发式规划方法。仿真结果表明,时间线转移路标启发式规划方法能够有效减少冗余规划步数,提高规划求解效率。     

嫦娥五号探测器系统级电性能测试设计与实践

针对嫦娥五号探测器综合测试中遍历在轨飞行状态引发的全面覆盖难度大,任务剖面及关键环节多引发的模拟飞行及健壮性测试要求高等问题,提出并实践了状态遍历及增量式集成的系统级测试方法,测试设计按照分状态分阶段分剖面的多层次验证策略,探索出了一套从"最基本启动,增量式叠加,分步骤集成"的整体性测试与验证的解决方案,达到了在项目早期将系统验证工作置于真实环境下开展测试评估的效果。同时也解构了探测器组成复杂,器间交互多,器内耦合多的系统级全覆盖难题。引入非侵入式监测技术解决了特定任务剖面及系统级条件下关键动作高保真数据获取的难题。与阿波罗载人登月相比,嫦娥五号探测器系统级测试设计实现了测试与评估可靠性活动在整器研制环节的流程左移,体现了中国航天器研制技术的特点。     

Launch and Early Operation of the MESSENGER Mission

On August 3, 2004, at 2:15 a.m. EST, the MESSENGER mission to Mercury began with liftoff of the Delta II 7925H launch vehicle and 1,107-kg spacecraft including seven instruments. MESSENGER is the seventh in the series of NASA Discovery missions, the third to be built and operated by The Johns Hopkins University Applied Physics Laboratory (JHU/APL) following the Near Earth Asteroid Rendezvous (NEAR) Shoemaker and Comet Nucleus Tour (CONTOUR) missions. The MESSENGER team at JHU/APL is using efficient operations approaches developed in support of the low-cost NEAR and CONTOUR operations while incorporating improved approaches for reducing total mission risk. This paper provides an overview of the designs and operational practices implemented to conduct the MESSENGER mission safely and effectively. These practices include proven approaches used on past JHU/APL operations and new improvements implemented to reduce risk, including adherence to time-proven standards of conduct in the planning and implementation of the mission. This paper also discusses the unique challenges of operating in orbit around Mercury, the closest planet to the Sun, and what specific measures are being taken to address those challenges.     

Practical guidelines for electro-dynamic tethers to survive from orbital debris impacts

Japan Aerospace Exploration Agency (JAXA) has proposed an active debris removal using electro-dynamic tether to reduce large space debris in the low-Earth orbit. However, a tether strand is thin but long enough to have a large area so that it is vulnerable to small particles. This vulnerability might be the weakest point of a tether system against orbital debris. In order to overcome this weakest point, a double tether system, in which two tether strands are tied together at even intervals to form equally spaced loops, has been suggested as one of the promising candidates. This paper provides a mathematical approach to estimate the survival probability of a double tether system and then apply the approach to evaluate the mission success rate of the active debris removal using electro-dynamic tether that JAXA has proposed. It can be concluded the countermeasure to get enough success rate can be obtained. The result is simulated for Advanced Earth Observing Satellite II (ADEOS-II) re-entry from 800 km sun synchronized orbit to atmosphere. The simulation shows that mission success rate over 90% can be obtained with number of loops over 1000 and 10 mm clearance between two strands.     

The dynamics and control of the CubeSail mission: A solar sailing demonstration

The CubeSail mission is a low-cost demonstration of the UltraSail solar sailing concept (, ,  and ), using two near-identical CubeSat satellites to deploy a 260 m-long, 20 m² reflecting film. The two satellites are launched as a unit, detumbled, and separated, with the film unwinding symmetrically from motorized reels. The conformity to the CubeSat specification allows for reduction in launch costs as a secondary payload and utilization of the University of Illinois-developed spacecraft bus. The CubeSail demonstration is the first in a series of increasingly-complex missions aimed at validating several spacecraft subsystems, including attitude determination and control, the separation release unit, reel-based film deployment, as well as the dynamical behavior of the sail and on-orbit solar propulsion. The presented work describes dynamical behavior and control methods used during three main phases of the mission. The three phases include initial detumbling and stabilization using magnetic torque actuators, gravity-gradient-based deployment of the film, and steady-state film deformations in low Earth orbit in the presence of external forces of solar radiation pressure, aerodynamic drag, and gravity-gradient.     

Helicopter maritime search area planning based on a minimum bounding rectangle and K-means clustering

Helicopters are widely used in maritime Search and Rescue (SAR) missions. To ensure the success of SAR missions, search areas need to be carefully planned. With the development of computer technology and weather forecast technology, the survivors’ drift trajectories can be predicted more precisely, which strongly supports the planning of search areas for the rescue helicopter. However, the methods used to determine the search area based on the predicted drift trajectories are mainly derived from the continuous expansion of the area with the highest Probability of Containment (POC), which may lead to local optimal solutions and a decrease in the Probability of Success (POS), especially when there are several subareas with a high POC. To address this problem, this paper proposes a method based on a Minimum Bounding Rectangle and K-means clustering (MBRK). A silhouette coefficient is adopted to analyze the distribution of the survivors’ probable locations, which are divided into multiple clusters with K-means clustering. Then, probability maps are generated based on the minimum bounding rectangle of each cluster. By adding or subtracting one row or column of cells or shifting the planned search area, 12 search methods are used to generate the optimal search area starting from the cell with the highest POC in each probability map. Taking a real case as an example, the simulation experiment results show that the POS values obtained by the MBRK method are higher than those obtained by other methods, which proves that the MBRK method can effectively support the planning of search areas and that K-means clustering improves the POS of search plans.     

Biobjective planning of GEO debris removal mission with multiple servicing spacecrafts

The mission planning of GEO debris removal with multiple servicing spacecrafts (SScs) is studied in this paper. Specifically, the SScs are considered to be initially on the GEO belt, and they should rendezvous with debris of different orbital slots and different inclinations, remove them to the graveyard orbit and finally return to their initial locations. Three key problems should be resolved here: task assignment, mission sequence planning and transfer trajectory optimization for each SSc. The minimum-cost, two-impulse phasing maneuver is used for each rendezvous. The objective is to find a set of optimal planning schemes with minimum fuel cost and travel duration. Considering this mission as a hybrid optimal control problem, a mathematical model is proposed. A modified multi-objective particle swarm optimization is employed to address the model. Numerous examples are carried out to demonstrate the effectiveness of the model and solution method. In this paper, single-SSc and multiple-SSc scenarios with the same amount of fuel are compared. Numerous experiments indicate that for a definite GEO debris removal mission, that which alternative (single-SSc or multiple-SSc) is better (cost less fuel and consume less travel time) is determined by many factors. Although in some cases, multiple-SSc scenarios may perform worse than single-SSc scenarios, the extra costs are considered worth the gain in mission safety and robustness.     

涡轮冲压组合发动机在超声速客机上的应用方案研究

为研究涡轮冲压组合发动机(Turbine Based Combined Cycle,TBCC)在超声速客机上的配装可行性,以Ma4超声速客机典型飞行任务需求为牵引,采用飞/发一体化约束分析与任务分析方法,建立了Ma4客机/TBCC发动机的一体化设计模型,确定了满足宽范围机动性需求的起飞推重比和满足航程需求的飞机起飞重量,对比分析了起飞推重比、模态转换马赫数、爬升轨迹等因素对飞机任务特性的影响。研究结果表明,TBCC发动机可满足Ma4客机配装需求,满足Ma4客机典型任务剖面机动性需求的起飞推重比应在0.6以上,满足60人商载与4000km航程任务需求的飞机起飞总重在50t～60t量级。