日盲紫外探测技术在空间预警中的应用

天基紫外预警是反弹道导弹武器的重要手段。文章从地球日盲紫外空间背景和导弹紫外辐射特性两方面进行分析,论证天基紫外空间预警系统可以获得较高的信噪比和信杂比,能够实现低虚警率的空间预警。同时提出了天基紫外空间预警系统可能的3种工作体制：单一基于紫外波段的天基预警系统存在发现目标较晚的问题;紫外—红外双波段天基预警系统可以实现更低的空间预警虚警率;红外—紫外光谱复合天基预警系统可通过紫外光谱观测辨别导弹种类。最后,文章对现有紫外探测技术进行分析,论证了AlGaN和SiC探测器用于天基紫外预警的可行性,并对其工作模式进行了分析。     

基于模型的系统工程方法在载人航天任务中的应用探讨

针对基于文档的航天任务设计中设计数据分散、一致性差、跟踪难度大等问题,引入了基于模型的系统工程(MBSE)方法。首先,介绍了MBSE方法理念,即通过构建图形化的模型来支持系统的需求捕获、设计、分析、验证和确认等全生命周期活动。然后,给出了MBSE方法的一般工作流程,即先构建系统的需求模型,用于指导功能模型、物理架构模型等的构建,按照事先制定好的逻辑规则建立模型间的关系,依靠模型间的关系实现设计过程中的关联性分析、参数查询等工作。最后,应用MBSE方法于载人飞船交会对接任务中。结果表明,此方法改善了人员沟通,提高了设计效率,降低了设计风险,可为MBSE方法在航天任务设计中的进一步应用提供参考。     

液体推进剂热稳定性研究方法探讨

为研究液体推进剂的热分解特性,利用差示扫描量热仪（DSC）和绝热加速量热仪（ARC）,对自行研制的3种液体推进剂进行了热分解过程研究,并对其热稳定性进行了探讨.分析了DSC和ARC两种方法在研究液体推进剂热分解方面的优劣性.     

基于全过程移动监督技术的感应电机定子绕组温度实时监测系统

随着物联网技术的发展,如何将物联网技术与非侵入式电力设备运行状态监测技术相结合成为当前研究热点之一。为了探索基于物联网技术的电气设备运行状态监测新模式,以感应电机定子绕组温度的非侵入式在线监测为出发点,首先提出了一种基于自适应法和最小二乘法的电机定子绕组温度辨识方法,并结合当前物联网技术的发展,设计了一种基于全过程监督技术的感应电机全寿命周期监督定子温度监测系统。以1台5.5 kW感应电机为例进行试验验证,结果表明该系统具有较强的鲁棒性。所提出的理念和技术可以为其他大型电力设备的状态监测提供重要参考和技术支撑。     

An innovative study on low surface energy micronano coatings with multilevel structures for laminar flow design

Laminar flow design is one of the most effective ways to reduce the drag of a commercial aircraft by expanding the laminar flow region on the surface of the aircraft. As material science develops, the emergence of new materials such as low surface energy materials has offered new choices for laminar flow design of commercial aircraft. Different types of low surface energy micro-nano coatings are prepared to verify the effects on the boundary layer transition position and the drag of the airfoil through wind tunnel tests. The infrared thermal imaging technology is adopted for measuring the boundary layer transition, while the momentum integral approach is employed to measure the drag coefficient through a wake rake. Infrared thermal imaging results indicate that the coatings are capable of moving backward the boundary layer transition position at both a low velocity of Mach number 0.15 and a high velocity of Mach number 0.785. Results of the momentum integral approach demonstrate that the drag coefficients are reduced obviously within the cruising angle of attack range from 1° and 5° by introducing the low surface energy micro-nano coating technology.     

Sensitivity analysis for probabilistic anti-resonance design of aeronautical hydraulic pipelines

In an uncertainty scheme, reliability and global sensitivity analysis is studied in this work, to provide helpful information for probabilistic anti-resonance design of vibration systems.Discussions show that the resonance failure problem can be viewed as a series system, in which input uncertainties are modeled by random variables. In order to quantitatively measure the contributions of input variables to the system reliability, a global sensitivity index is proposed, the properties of which are also discussed. Then the proposed index is tested with an aeronautical hydraulic pipeline system, which is under the excitation of pump vibration and at a risk of resonance failure. Sensitivity results under different failure criteria and variation coefficients are obtained and studied, from which significant and insignificant input variables can be identified.The proposed method provides a relatively new insight for anti-resonance design of engineering structures.     

Hypervelocity impact induced shock acoustic emission waves for quantitative damage evaluation using in situ miniaturized piezoelectric sensor network

Manmade debris and natural meteoroids, travelling in the Low Earth Orbit at a speed of several kilometers per second, pose a severe safety concern to the spacecraft in service through the HyperVelocity Impact(HVI). To address this issue, an investigation of shock Acoustic Emission(AE) waves induced by HVI to a downscaled two-layer Whipple shielding structure is performed,to realize a quantitative damage evaluation. Firstly a hybrid numerical model integrating smoothparticle hydrodynamics and finite element is built to obtain the wave response. The projectiles, with various impact velocities and directions, are modelled to impact the shielding structure with different thicknesses. Then experimental validation is carried out with built-in miniaturized piezoelectric sensors to in situ sense the HVI-induced AE waves. A quantitative agreement is obtained between numerical and experimental results, demonstrating the correctness of the hybrid model and facilitating the explanation of obtained AE signals in experiment. Based on the understanding of HVI-induced wave components, assessment of the damage severity, i.e., whether the outer shielding layer is perforated or not, is performed using the energy ratio between the regions of ‘‘high frequency" and ‘‘low frequency" in the acquired AE signals. Lastly, the direct-arrival fundamentalsymmetric wave mode is isolated from each sensing signal to be input into an enhanced delay-andsum algorithm, which visualizes HVI spots accurately and instantaneously with different sensor network configuration. All these works demonstrate the potential of quantitative, in situ, and real time HVI monitoring using miniaturized piezoelectric sensor network.     

Real-time object tracking via least squares transformation in spatial and Fourier domains for unmanned aerial vehicles

This paper addresses the problem of real-time object tracking for unmanned aerial vehicles. We consider the task of object tracking as a classification problem. Training a good classifier always needs a huge number of samples, which is always time-consuming and not suitable for realtime applications. In this paper, we transform the large-scale least-squares problem in the spatial domain to a series of small-scale least-squares problems with constraints in the Fourier domain using the correlation filter technique. Then, this problem is efficiently solved by two stages. In the first stage, a fast method based on recursive least squares is used to solve the correlation filter problem without constraints in the Fourier domain. In the second stage, a weight matrix is constructed to prune the solution attained in the first stage to approach the constraints in the spatial domain. Then, the pruned classifier is used for tracking. To evaluate proposed tracker's performance, comprehensive experiments are conducted on challenging aerial sequences in the UAV123 dataset. Experimental results demonstrate that proposed approach achieves a state-ofthe-art tracking performance in aerial sequences and operates at a mean speed of beyond 40 frames/s. For further analysis of proposed tracker's robustness, extensive experiments are also performed on recent benchmarks OTB50, OTB100, and VOT2016.     

新一代载人月面着陆器发展趋势研究

月面着陆器是实现载人探月任务的重要组成部分,从任务规划和着陆器参数两个方面对早期美国阿波罗计划中的月面着陆器（ LM）、苏联N1-L3登月计划中的月面着陆器（ L3登月系统）以及最近美国星座计划中的月面着陆器（ Altair）的相关情况进行了分析,并从任务需求、月面环境和研究经费及基础设施方面对LM与Altair月面着陆器进行详细比较,通过比较分析总结出新一代载人月面着陆器将沿着提高乘员运送能力、扩大到达范围、延长航天员生活时间及功能模块化的方向发展,并提出研制新一代月面着陆器应着重解决着陆器推进、结构、着陆障碍检测及缓冲以及月尘防护等关键技术。     

粗糙条件熵算法在故障诊断中应用分析

给出了一种基于条件熵的算法,并应用于弹载电子设备故障诊断中。结果表明,诊断结果准确可靠,且弥补了差别矩阵算法和差别函数算法的不足。