A universal on-orbit servicing system used in the geostationary orbit

The geostationary orbit (GEO), a unique satellite orbit of the human beings, is a very precious orbit resource. However, the continuous increasing of GEO debris makes the GEO orbit more and more crowded. Moreover, the failures of GEO spacecrafts will result in large economic cost and other bad impacts. In this paper, we proposed a space robotic servicing system, and developed key pose (position and orientation) measurement and control algorithm. Firstly, the necessity of orbit service in GEO was analyzed. Then, a servicing concept for GEO non-cooperative targets was presented and a universal space robotic servicing system was designed. The system has a 2-DOF docking mechanism, a 7-DOF redundant manipulator and a set of stereo vision, in addition to the traditional subsystems of a spacecraft. This system can serve most existing satellites in GEO, not requiring specially designed objects for grappling and measuring on the target. The servicing contents include: (a) visual inspecting; (b) target tracking, approaching and docking; (c) ORUs (Orbital Replacement Units) replacement; (d) Malfunctioned mechanism deploying; (e) satellites life extension by taking over its control, or re-orbiting the abandoned satellites. As an example, the servicing mission of a malfunctioned GEO satellite with three severe mechanical failures was designed and simulated. The results showed the validity and flexibility of the proposed system.     

在轨流体管理技术进展和关键技术分析

综述了国外在轨流体管理技术的发展现状与趋势，分析了低温流体长期在轨贮存、在轨加注、空间流体生产等主要技术，并提出了在轨流体管理中需突破的关键技术难题。     

氢仲-正转化释冷方案及冷量空间利用潜能分析

调研了氢仲-正转化释冷能力及研究现状,介绍了绝热、连续、等温三种转化方式的释冷潜能与工作特征。针对氢空间长期安全贮存,按照转化器布置位置与转化方式,提出四种冷量空间利用方案。研究发现：氢绝热转化在150 K时释冷量最大,为391 kJ/kg;等温转化在110 K时释冷量最大,为394 kJ/kg;连续转化在出口温度大于200 K后,释冷量稳定在491 kJ/kg。所提四种方案中,由于空间排气温度偏低,造成氢仲-正转化潜能无法充分释放,对贮箱绝热性能提升有限。相较于一次绝热转化,在蒸气冷却盘管内连续转化可较充分利用转化冷能,在氢的空间贮存应优先考虑。     

Drogue detection for autonomous aerial refueling based on convolutional neural networks

Drogue detection is a fundamental issue during the close docking phase of autonomous aerial refueling(AAR). To cope with this issue, a novel and effective method based on deep learning with convolutional neural networks(CNNs) is proposed. In order to ensure its robustness and wide application, a deep learning dataset of images was prepared by utilizing real data of ‘‘Probe and Drogue" aerial refueling, which contains diverse drogues in various environmental conditions without artificial features placed on the drogues. By employing deep learning ideas and graphics processing units(GPUs), a model for drogue detection using a Caffe deep learning framework with CNNs was designed to ensure the method's accuracy and real-time performance. Experiments were conducted to demonstrate the effectiveness of the proposed method, and results based on real AAR data compare its performance to other methods, validating the accuracy, speed, and robustness of its drogue detection ability.     

空中加油问题的最优化研究

通过对空中加油在作战使用中的问题进行分析,针对受油机往返各加１次油的情况,给出了空中加油的数学模型,并采用跗算法对问题进行了优化计算,实际计算表明,所建模型具有良好的适应性,能够适合不同的作战环境和不同作战要求,采用跗优化算法研究空中加油问题,优化效率高、具有全局性,并易于计算机实现,所得的加油方案是合理的。     

空中加油对接过程的动力学建模与仿真

空中加油的成功与否主要依赖于加油锥套与受油插头的顺利对接,对对接过程中产生的动力学行为的研究是实现顺利对接的前提。利用多刚体系统动力学建立对接过程的动力学模型,求解出加油锥套与受油装置间的广义速度;并依据建立的接触动力学模型,得到局部接触点间的相对速度。基于非线性连续碰撞理论,提出对接过程中碰撞力的计算方法,并在机械系统动力学仿真软件ADAMS的环境下,构建加油锥套和受油装置的对接虚拟样机。通过对虚拟样机的动力学仿真,得到了对接过程中的碰撞力及速度响应曲线,同时,得出能够实现成功对接时各参数的具体范围。结果表明,制约对接成功的主要参数是初始相对速度、加油锥套的俯仰角和相对偏距。该研究对空中加油的对接和受油机的导航控制具有重要的意义。     

基于自适应联邦滤波的相对导航信息融合

针对基于GPS/MV组合导航方式的无人机空中加油问题,分析了对接阶段GPS及视觉传感器存在的条件约束。在建立导航传感器非线性相对位置测量模型的基础上,设计了基于扩展卡尔曼滤波的自适应联邦滤波器,并与集中式滤波进行了对比仿真。结果表明,提出的算法保证了部分传感器失效时导航数据输出的平稳性和容错性,滤波精度完全满足无人机空中加油相对导航系统要求。     

静止轨道卫星远程交会策略设计

针对静止轨道卫星在轨服务任务,提出一种4脉冲远程快速交会规划方法,可在5圈内完成远程交会。调相策略设计中,通过对基于近圆偏差方程的变轨规划策略进行改进,设计得到了3脉冲调相方案。首先,固定第1和第2调相脉冲执行位置,对3个调相脉冲的速度增量及第3调相脉冲的执行位置进行设计优化;再固定第1调相脉冲,对第2和第3调相脉冲的速度增量和执行位置进行再次优化。轨道面调整设计中,通过求解轨道面节线位置,采用单一法向脉冲进行轨道面修正。数学仿真校验了所提出方法的有效性。     

固定翼飞机空中受油方式研究

对固定翼飞机空中受油方式进行了全面的分类与总结,介绍了不同受油方式的基本原理,并进行了深入分析与比较.最后针对国内固定翼飞机的发展趋势,对其空中受油方式的发展方向给出了建议.     

在轨航天器动力学参数辨识技术研究

针对在轨航天器低频密集和辨识时激励源有限且难于测量等特点,开展了适用于低频密集模态且不需激励信息的在轨航天器动力学参数辨识方法的研究,探讨了直接利用在轨响应数据在频域内辨识航天器动力学参数的技术;并根据在轨航天器低频密集特点,设计了在轨航天器动力学参数辨识仿真试验系统,对该辨识方法进行了试验验证。