基于CAN总线的星载软件测试系统设计

对基于CAN总线的星载软件测试系统设计进行了研究。系统硬件包括PXI工控机和CAN高速板卡,应用LabVIEW编程模拟各下位机,实现了与星载软件的通信,具有下位机的状态检测、遥测数据分析、注数数据监测和计算机内存下卸等功能。实际应用表明:该基于CAN总线的星载软件测试系统满足第三方测试要求,运行稳定可靠。     

面向林火持续侦察的多无人机分布式控制方法

为解决目前面向林火持续侦察多无人机（UAV）协同控制实用性与自主性不足的问题，基于蔓延速度诱导元胞自动机（SVICA）林火蔓延算法、无人机与传感器建模，构建了较为真实的三维多无人机火场侦察仿真环境与侦察效能指标，提出了一种面向林火持续侦察的多无人机双层分布式控制架构，在行动层基于强化学习训练的人工神经网络（ANN），实现了有风条件下无人机自主火场环绕与地形跟随功能，在策略层设计通过时域均匀分布算法进行各无人机空速的离散自主调节，最终达到多无人机林火持续侦察时域分布的均匀性与即时性目的。通过一系列数值仿真实验，验证了所提出的无人机分布控制策略在无人机损失和补充突发情况下的自适应性。基于无人机数量与侦察效能指标关系的实验与研究，定义了无人机出动阈值并验证了无人机长时间出动回收策略。最终实验结果表明，针对林火持续侦察任务，所提出的多无人机分布式控制方法具备一定的有效性与实用性。     

水陆两栖飞机静力试验优化机翼变形的载荷配平

水陆两栖飞机全机静力试验的浮筒着水工况试验中，在试验允许的常规载荷配平方案下，压向大量级水载荷作用于浮筒结构引起机翼较大变形，影响试验精度，因此进行以减少机翼变形为目标的载荷配平研究。将机翼近似为悬臂梁结构，在构建的机翼力学模型基础上应用Green函数建立机翼的挠度曲线方程。首次以考核区域边界肋的挠度和转角为优化目标并建立多目标函数，通过层次分析法和极差变换标准化处理方法将其转化为单目标函数后，采用引入交叉和变异因子的改进蚁群算法进行载荷配平方案优化运算。有限元分析及试验结果显示，优化得到的载荷配平方案可以显著地减少机翼变形，配平载荷不影响考核区域的真实变形，证明了该优化方案的正确性和可行性。     

空域拥挤风险管理时间决策模型与方法

针对目前日益严重的空域拥挤现象,缺乏有效的空域拥挤风险管理机制,造成拥挤难以应对等问题,建立了空域拥挤风险预测模型、空域拥挤风险解决模型和风险损失成本模型。采用风险预测模型和解决模型预测可能产生空域拥挤的时段、提出不同时段的实施流量管理策略,基于风险损失成本模型给出了不同时段调整拥挤的运行成本,通过比较运行成本和空域拥挤风险管理决策方法确定出解决空域拥挤的最佳时间点。采用实际运行数据进行验证,结果表明:所建立的空域拥挤预测模型、空域拥挤风险解决模型、风险损失成本模型和空域拥挤风险管理时间决策方法能有效地预测未来空域发生拥挤的时段,迅速找到运行成本最小的调整拥挤的时间点,为空中交通流量动态管理提供了新途径。     

A novel signal processing approach for LEO space debris based on a fence-type space surveillance radar system

The increase in space debris can seriously threaten regular activities in the Low Earth Orbit (LEO) environment. Therefore, it is necessary to develop robust, efficient and reliable techniques to understand the potential motions of the LEO debris. In this paper, we propose a novel signal processing approach to detect and estimate the motions of LEO space debris that is based on a fence-type space surveillance radar system. Because of the sparse distribution of the orbiting debris through the fence in our observations, we formulate the signal detection and the motion parameter estimation as a sparse signal reconstruction problem with respect to an over-complete dictionary. Moreover, we propose a new scheme to reduce the size of the original over-complete dictionary without the loss of the important information. This new scheme is based on a careful analysis of the relations between the acceleration and the directions of arrival for the corresponding LEO space debris. Our simulation results show that the proposed approach can achieve extremely good performance in terms of the accuracy for detection and estimation. Furthermore, our simulation results demonstrate the robustness of the approach in scenarios with a low Signal-to-Noise Ratio (SNR) and the super-resolution properties. We hope our signal processing approach can stimulate further work on monitoring LEO space debris.     

Co-registration of Chang’E-1 stereo images and laser altimeter data with crossover adjustment and image sensor model refinement

Topographic information is of fundamental importance for various scientific investigations in lunar and planetary exploration. To provide high-precision, seamless mapping capability, it is critical to co-register image and altimetry data, the two major data sources for topographic modeling. This paper presents a method for co-registration of Chang’E-1 (CE-1) stereo images and laser altimeter (LAM) data with crossover adjustment and refinement of the image sensor model. The crossover adjustment is tested in a larger area (0–60°N, 50–0°W); the image refinement and co-registration with LAM data are tested in an area (46.2–50.0°N, 31.8–28.8°W) within the larger area. Experimental results demonstrate that this co-registration reduces the mean differences of inconsistency from more than 200 m to just 3.21 m in the Z direction of object space. In image space, the mean errors of homologous points both in the column and row directions are reduced to below 0.1 pixel. This indicates that the proposed crossover adjustment of LAM data and refinement of the CE-1 stereo image model can effectively improve co-registration of the two data sets.     

Nostoc sphaeroides Kützing,an excellent candidate producer for CELSS

Some phytoplankton can be regarded as possible candidates in the establishment of Controlled Ecological Life Support System (CELSS) for some intrinsic characteristics, the first characteristic is that they should grow rapidly, secondly, they should be able to endure some stress factors and develop some corresponding adaptive strategies; also it is very important that they could provide food rich in nutritious protein and vitamins for the crew; the last but not the least is they can also fulfill the other main functions of CELSS, including supplying oxygen, removing carbon dioxide and recycling the metabolic waste. According to these characteristics, Nostoc sphaeroides, a potential healthy food in China, was selected as the potential producer in CELSS. It was found that the oxygen average evolution rate of this algae is about 150 μmol O₂ mg⁻¹ h⁻¹, and the size of them are ranged from 2 to 20 mm. Also it can be cultured with high population density, which indicated that the potential productivity of Nostoc sphaeroides is higher than other algae in limited volume. We measured the nutrient contents of the cyanobacterium and concluded it was a good food for the crew. Based on above advantages, Nostoc sphaeroides was assumed to a suitable phytoplankton for the establishment of Controlled Ecological Life Support System. We plan to develop suitable bioreactor with the cyanobacterium for supplying oxygen and food in future space missions.     

飞机液压系统地面清洗装置的研究

飞机在外场飞行训练中经常发生液压系统污染问题,在处理此类问题时通常采用的方法是更换液压油,这种方法工作周期长,浪费较大,影响飞行训练。本文介绍了地面清洗装置的工作原理和设计方法,采用此装置对飞机液压系统进行清洗,对解决飞机液压系统污染问题有重要作用。     

大型数控成形磨齿机床装配误差–齿面误差研究

如何根据齿轮齿面精度要求,精准调整装配几何误差,是提升大型数控成形磨齿机床性能的关键技术之一.基于成形磨削系统的误差传递链,砂轮与工件之间的共轭运动关系,利用曲面族包络法建立了包含装配几何误差的成形磨削齿面模型;通过计算理论齿面和包络齿面的差值,进行成形磨削齿面的误差评价,并提出了实现磨削齿面误差评价的流程方法;在此基...     

液体火箭发动机汽蚀管堵塞仿真研究

建立了某泵压式液体火箭发动机系统组件数学模型,在此基础上进行了发生器氧化剂汽蚀管堵塞的动态仿真计算。仿真计算结果表明:发动机涡轮转速在堵塞初始快速下降,之后下降变缓。