地球观测网络成像任务可调度性预测方法

为了能够快速、合理地分配成像任务,充分发挥对地观测网络的观测效能,对成像任务可调度性预测问题进行了研究,提出一种由协同任务分配组件、任务调度组件、特征提取组件以及任务可调度性预测组件所构成的组件化求解架构。在成像卫星经典调度模型的基础上,提取成像任务特征,并采用变隐含层节点的反向传播（BP）神经网络集成技术求解成像任务可调度性问题。仿真结果表明,集成BP神经网络的平均预测准确度可以达到85%以上。     

航空发动机综合飞行换算率的确定

为实现国内某型现役军用航空发动机寿命控制与管理，基于实测飞行剖面和任务混频，研究建立了军用航空发动机综合飞行换算率的确定算法和计算流程。考虑温度对材料强度的影响，将应力剖面向同一温度折算，综合应用雨流计数方法、古德曼方法和线性累积损伤方法，加权计算得到了国内某型现役军用航空发动机同时适用于压气机部件和涡轮部件的飞行任务换算率；基于工厂交付试车、部队地面试车、最坏发动机系数和削顶因子等因素，对飞行任务换算率进行修正，计算得到了国内某型现役军用航空发动机综合飞行换算率。工程应用表明，计算得到的综合飞行换算率准确合理，工程适用。     

星载实时微内核操作系统的CPU调度

现代小卫星的重要特点之一是要实现卫星的自主运行。作为其控制核心的星载自主计算机操作系统的性能至关重要。当今 操作系统的发展趋势是采用微内核体系结构。它具有微型化，模块化，可移植性可扩充性等优点。ＣＰＵ调度是影响操作系统性能的关键因素。当前的微内核操作系统基本上只提供几种简单的调度策略，如ＦＩＦＯ，循环反馈等。这些都难以满足卫星系统在特定的时间内对外界作出响应的实时要求。为此，本文设计了一个新的ＣＰ     

FY-2C星地面应用分系统工程建设

介绍了风云二号(FY-2)C气象卫星地面应用分系统的组成、主要任务及建设目标.说明了分系统建设中采用的建立健全两总系统、成立气象卫星工程建设部和建立两总联席会议制度等行政措施.阐明了在分系统建设中采用的软件工程管理开发、加强合同签定审批、不同设备的验收,以及严格选择基础施工单位与聘请施工监理等管理措施.建成的地面应用分系统在C星的业务运行中发挥了重要作用.     

航空企业动态联盟任务分解评估方法研究

分析了与航空企业相关的动态联盟的特点,得出了任务分解原则,在假定任务分解过程是一个具有模糊主观判断的多目标决策问题的基础上建立了相应的任务模型.基于创建的任务分解评价指标体系,提出了对任务分解进行评估的一种算法,以此对任务分解的不同方案进行评估.     

Scheduling algorithms for rapid imaging using agile Cubesat constellations

Distributed Space Missions such as formation flight and constellations, are being recognized as important Earth Observation solutions to increase measurement samples over space and time. Cubesats are increasing in size (27U, ～40?kg in development) with increasing capabilities to host imager payloads. Given the precise attitude control systems emerging in the commercial market, Cubesats now have the ability to slew and capture images within short notice. We propose a modular framework that combines orbital mechanics, attitude control and scheduling optimization to plan the time-varying, full-body orientation of agile Cubesats in a constellation such that they maximize the number of observed images and observation time, within the constraints of Cubesat hardware specifications. The attitude control strategy combines bang-bang and PD control, with constraints such as power consumption, response time, and stability factored into the optimality computations and a possible extension to PID control to account for disturbances. Schedule optimization is performed using dynamic programming with two levels of heuristics, verified and improved upon using mixed integer linear programming. The automated scheduler is expected to run on ground station resources and the resultant schedules uplinked to the satellites for execution, however it can be adapted for onboard scheduling, contingent on Cubesat hardware and software upgrades. The framework is generalizable over small steerable spacecraft, sensor specifications, imaging objectives and regions of interest, and is demonstrated using multiple 20?kg satellites in Low Earth Orbit for two case studies – rapid imaging of Landsat’s land and coastal images and extended imaging of global, warm water coral reefs. The proposed algorithm captures up to 161% more Landsat images than nadir-pointing sensors with the same field of view, on a 2-satellite constellation over a 12-h simulation. Integer programming was able to verify that optimality of the dynamic programming solution for single satellites was within 10%, and find up to 5% more optimal solutions. The optimality gap for constellations was found to be 22% at worst, but the dynamic programming schedules were found at nearly four orders of magnitude better computational speed than integer programming. The algorithm can include cloud cover predictions, ground downlink windows or any other spatial, temporal or angular constraints into the orbital module and be integrated into planning tools for agile constellations.     

基于MADDPG的多无人机协同任务决策

针对多无人机任务决策方法研究中传统优化算法难以在短时间内得到期望结果的问题,基于深度强化学习提出一种无人机多智能体深度确定性策略梯度(MADDPG)算法,通过允许无人机在学习时使用全局信息,在应用决策的时候只使用局部信息的方法,从网络结构、状态空间、动作空间和奖励函数设计了MADDPG算法的模型结构。最后通过仿真实验,并对比深度确定性策略梯度(DDPG)算法,验证了本文提出的MADDPG算法在保证精度的基础上,学习速度大幅度提高,弥补了传统强化学习算法在多智能体领域的不足。     

在同一多线程中执行定时任务和随机任务

如何协调地在同一个多线程中完成定时任务和随机任务以及数据交换是多线程程序设计的一个重要任务。文中总结分析了2种多线程的实现方法,即用户接口线程方式和工作者线程方式。为了在同一多线程中执行定时任务和随机任务,将多种任务封装成一个对象,在多线程中根据指令进行调度。文中将多线程看作一个虚拟的下位机,主线程等采用串行通信协议的原理实现与多线程之间的多种任务复杂数据交换和通信。     

基于固定优先级航天器任务分层调度研究

在航天器自主控制结构中, 采用分层结构构建系统, 实现不同分组的软件互不影响执行. 针对固定优先级调度模型, 通过对分区可调度性和分区设计问题进行研究, 仔细考察了任务最大响应时间迭代计算过程, 提出了一种更为精确的求解算法; 在固定优先级任务利用率上限的基础上, 给出了分区任务可设计的判定条件; 通过利用价值函数, 给出了分区参数解析模型, 在此基础上, 提出了一种局部最优的设计方法来实现整个处理器的分区设计, 通过具体实例对所提出的分区分析和设计方法进行了验证.      

Task allocation strategies for cooperative task planning of multi-autonomous satellite constellation

In recent years, the application of imaging satellites has entered a completely new stage, with the new demands such as rapid response to emergency events, observation of large-scale regional targets and multivariate data fusion, the multi-autonomous satellite constellation has been proposed. This paper first designs the structure of multi-autonomous satellite constellation, and a centralized-distributed structure is proposed. This structure could improve the dynamic response capacity of the whole constellation. Then, this paper adds adapted filtering mechanism to single autonomous satellite online scheduling algorithm to enhance its performance. This article also pays more attention on task allocation strategies of the master satellite in constellation, and ten different task allocation strategies based on five dimensions are analyzed by simulation experiments. At last, this paper extracts several characteristic features of the regular observation targets and designs a selector based on support vector machine (SVM). This selector could select an appropriate strategy according to the features of each experiment scenario.