基于微分进化算法的深空小推力轨道优化设计

针对多目标多任务的深空探测轨道优化设计问题,基于以太阳为主引力体的二体模型,采用电推进小推力系统,提出了将目标行星的探测方式、探测顺序、发射窗口同时进行全局优化的解决方案.依此建立小推力轨道优化设计算法模型,利用微分进化算法进行全局一体化优化设计,得出多目标多任务的一体化深空探测轨道.通过与相同条件下其他设计方法的结果比对分析得出：基于小推力推进方式并采用微分进化算法进行优化的轨道优化设计方案,在多目标多任务深空轨道一体化设计问题上具有可行性及应用价值.     

用飞行员模型进行飞行品质自动评估技术研究

介绍了飞机的飞行品质评估典型任务,初步建立了飞行员行为特性数学模型以及飞行品质自动评定专家知识库,开发了基于试飞员模型的飞行品质评定软件的设计与实现;在六自由度动基座飞行模拟器上,针对某高教机电传飞控系统进行了飞行模拟器部分典型任务的飞行品质自动评估,其评估结果与飞行员评估结果基本吻合.该技术应用于飞控系统控制律设计、优化中,能提高设计效率,节约主观评定的时间,是客观飞行品质评定的有力补充.     

Two-dimensional launch window method to search for launch opportunities of interplanetary missions

Accurate and highly efficient approaches to obtain mission opportunities are still the goals of mission planners of interplanetary explorations. The search for launch opportunities not only determines the specified launch window of the mission but also presents the performance requirements for the interplanetary probe and its launch vehicle. An effective method, namely the two-dimensional launch window method, is developed from a completely new perspective to determine all the launch opportunities of the mission in this research. For a fixed launch time, the method to determine all the time windows in the dimension of Time-of-Flight (TOF) is firstly proposed and these time windows represent all the launch opportunities for the given launch time. And then, the two-dimensional launch window method is proposed, which computes the time windows in both the launch time and TOF dimensions to achieve all launch opportunities of the mission. Numerical examples are provided to demonstrate the accuracy and high efficiency of the method. Compared with the widely-used pock-chop plot method, the proposed method reduces the computational time by two orders of magnitude for the same search precision, and thus is especially suitable for the cases involving rapid, high-precision, and/or large-scale searches for mission opportunities.     

载人地月混合轨道一次脉冲应急返回轨道分析

对于载人地月转移任务，应急返回轨道是航天员安全返回地球的保障。针对载人混合轨道地月转移对安全性要求高的特点，基于载人地月混合轨道，提出了3种一次脉冲的应急返回轨道，即直接返回、即刻机动绕月返回及绕月后机动返回等模式。研究了不同时刻发生故障后，利用3种应急模式返回地球的转移时间和速度增量等特性，研究了载人地月转移全过程出现故障后的应急方式，总结了3种应急模式的应用特点及优劣，可为载人月球探测任务顶层任务分析与设计提供参考。     

试验IP网故障分析策略及方法应用

针对试验IP（互联网协议）网建设和使用中遇到的网络问题,从TCP（传输控制协议）/IP网络原理和试验IP网的结构模型出发,对网络故障排查方法进行了总结,给出网络分层模型分析法、网络连接结构分析法和网络检测分析法相结合的故障排查策略。对某次测控信息联调中接收不到网络数据的真实故障案例进行了分析,运用网络检测工具对故障进行排查,依据网络结构对故障进行定位,依据网络协议对故障进行分析,验证了该方法可以使问题分析层次清晰、定位准确。     

一种综合通信导航识别系统的多波形部署方案设计

针对拥有多个相同任务通道的综合通信导航识别系统的多波形部署问题,提出了一种采用静态策略 的多通道多波形部署设计方案。本方案基于软件通信体系结构设计,实现了多波形应用与多个任务通道的匹配 机制和根据静态策略在多个任务通道上部署波形的机制。     

空间交会策略回顾及自主快速交会方案研究

介绍了已实施的几种典型的空间交会策略.通过分析现在的2~3d交会方案以及国外最新发展的4圈快速交会方案,总结了实现快速交会所要解决的主要技术问题.针对中国空间交会技术的发展需求,提出了一种自主快速交会方案.对比现有的4圈快速交会方案,该方案所允许的追踪航天器和目标航天器的初始相位角范围大大增加,但燃料消耗基本保持不变,这对开展实际工程有较好的指导意义.     

基于星上动态指令调度的卫星使用效能提升技术

针对传统任务管理模式采用静态约束指令序列导致卫星使用效能的不足,提出一种基于有向图模型的动态约束自适应任务管理方案。采用面向用户的星地任务控制接口,利用地面仿真和星上实时遥测获取任务运行过程的动态约束参数,星载计算机据此动态生成任务指令序列。针对某高性能光学卫星的仿真试验表明,与传统任务管理模式相比,卫星操作接口复杂度减少88.5%,任务注入效率提升699%,有效载荷数据传输效率提升10%,全球数据获取能力提升11%,对我国区域的实时数据获取能力提升100%。方案对遥感卫星在轨运行管理具有借鉴意义。     

航天器资源约束的时间拓扑排序处理方法

针对航天器自主任务规划中的资源受限、约束复杂、活动并行等问题,提出了基于时间拓扑排序的航天器资源计算方法。考虑规划结果中资源产生及消耗,采用资源约束网络模型表示规划中动作的资源需求。通过分析资源变化与动作执行时间的关系,在资源处理过程中对资源约束网络的资源突变时刻进行拓扑排序,优化了流量推进路径的选择过程,时间复杂度为O(n 2 )。数值仿真结果表明,算法提高了规划过程中资源处理的效率。     

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.