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.     

永磁同步电机驱动太阳翼扰动力矩建模与仿真

建立太阳翼驱动机构(SADA)永磁同步电机的电磁方程，并利用固定界面模态综合法建立SADA驱动太阳翼耦合系统的振动方程；设计模拟柔性负载，对SADA驱动该柔性负载的扰振力矩进行仿真分析。结果表明，SADA驱动柔性负载运行过程中所产生扰振力矩主要由两个原因引起：1)电流噪声引起的力矩波动；2)控制参数选取不当引起的转角波动。     

小卫星侦察星座性能评估研究

针对小卫星侦察星座性能评估问题，从覆盖、成本和弹性三方面对小卫星侦察星座的性能指标进行研究，分别构建了考虑存储容量约束的覆盖能力评估模型、成本估计模型以及弹性能力评估模型。在覆盖能力评估模型中，将卫星存储容量作为约束条件，结合卫星覆盖几何模型分析了卫星对地侦察的工作条件，提出考虑存储容量的覆盖指标计算方法；通过小卫星成本模型(small satellite cost model,SSCM)对星座各分系统的成本进行估计；在弹性评估模型中，提出了星座性能损失率指标，并根据星座失效状态概率函数确定了不同失效状态下星座性能损失率的权重。将上述模型应用于SkySat和吉林一号星座的性能评估过程中，结果表明SkySat比吉林一号覆盖能力强、成本低，弹性差。提出的三个模型可用于评价星座优劣，为小卫星侦察星座的建设和性能评估工作提供参考。     

基于隐式温度修正的二维热线风速仪校准方法

热线风速仪主要用于湍流流场测量。热线测量的主要误差来源是由环境温度变化导致的热线校准参数的变化。Brunn提出的传统温度效应修正方法在环境温度变化较大的情况下会带来明显的误差。本文经过理论推导,提出了一种新的基于隐式温度修正的二维热线风速仪校准方法,并开展了热线校准实验研究。结果表明:当环境温度变化在4℃范围内时,本文提出的方法与Brunn方法的测量精度相当;当环境温度变化超过4℃时,本文提出的方法的测量精度远高于Brunn方法。     

空间冗余机械臂零反作用最优路径规划

自由漂浮空间机械臂运动通过力传递会对其载体航天器产生反作用力和力矩,从而影响基座和末端执行器的位置与方向。利用冗余机械臂的反作用零空间,求解对基座航天器姿态零干扰的机械臂运动规律的解析解。给定机械臂初始和终端状态,考虑最大关节角约束和最大关节角加速度约束,分别针对时间最优和沿整个运动路径关节加速度最小的问题,采用高斯伪谱法,在零反作用轨迹解集中寻找满足约束方程的最优解。所得最优解使得机械臂在达到期望构型的同时不影响基座姿态。将算法用于平面3自由度冗余机械臂系统中,仿真结果表明:算法在保证基座姿态稳定的同时,关节运动满足给定的约束条件,从而验证了算法的有效性。     

Real-time clock comparison and monitoring with multi-GNSS precise point positioning: GPS,GLONASS and Galileo

The precise point positioning (PPP) technique is widely used in time and frequency applications. Because of the real-time service (RTS) project of the International GNSS Service, we can use the PPP technique for real-time clock comparison and monitoring. As a participant in the RTS, the Centre National d’Etudes Spatiales (CNES) implements the PPPWIZARD (Precise Point Positioning with Integer and Zero-difference Ambiguity Resolution Demonstrator) project to validate carrier phase ambiguity resolution. Unlike the Integer-PPP (IPPP) of the CNES, fixing ambiguities in the post-processing mode, the PPPWIZARD operates in the real-time mode, which is also called real-time IPPP (RT-IPPP). This paper focuses on applying the RT-IPPP for real-time clock comparison and monitoring. We review the principle of real-time clock comparison and monitoring, and introduce the methodology of the RT-IPPP technique. The observations of GPS, GLONASS and Galileo were processed for the experiments. Five processing modes were provided in the experiment to analyze the benefits of ambiguity resolution and multi-GNSS. In the clock comparison experiment, the average reduction ratios of standard deviations with respect to the G PPP mode range from 9.7% to 35.0%. In the clock monitoring experiment, G PPP mode can detect clock jumps whose magnitudes are larger than 0.9 ns. The RT-IPPP technique with GRE PPP AR (G) mode allows for the detection of any clock jumps larger than 0.6 ns. For frequency monitoring, G PPP mode allows detection of frequency changes larger than 1.1 × 10⁻¹⁴. When the RT-IPPP technique is applied, monitoring with GRE PPP AR (G) mode can detect frequency changes larger than 6.1 × 10⁻¹⁵.     

基于北斗三号的长基线共视时间比对

卫星导航共视时间比对一直是远距离时间比对的重要方法之一。使用我国最新发射的北斗三号全球导航卫星，基于中科院国家授时中心（NTSC）和捷克光电研究院（TP）各自的时间产生和保持系统，开展了中捷北斗三号长基线共视时间比对试验。本文对中捷两站各自的北斗卫星可视数及其卫星高度角情况进行了统计分析，利用Vondark滤波对时间比对结果进行了降噪处理，最后将北斗三号共视时间比对结果与北斗二号及GPS共视时间比对结果进行了比较。结果表明：北斗三号在当前全球组网阶段中捷共视可视卫星数比北斗二号还少的情况下，其共视时间比对精度达到1.16ns，较北斗二号提升约19%，与GPS更为接近。     

基于代理模型全局优化的自适应参数化方法

对于翼型气动隐身设计问题，设计变量的配置对设计结果影响很大，而简单地增加设计变量不能保证得到理想的结果。提出一种适用于代理模型全局优化的自适应参数化方法：利用全局敏感性分析方法——基本效应法，得到设计空间关于目标函数的敏感区域信息，并以此为根据增加设计变量；利用节点插入算法将低维样本在高维空间内进行重构，避免了重新取样的工作量。相对于传统固定设计空间维度方法，自适应参数化方法在设计空间的敏感区域扩展维度，能够更加精准地描述外形并反映目标的变化趋势。通过飞翼布局翼型的气动隐身优化算例，证实自适应参数化方法可以大幅提高优化设计质量和效率。     

Rotating machinery fault diagnosis based on convolutional neural network and infrared thermal imaging

Rotating machinery is widely applied in industrial applications. Fault diagnosis of rotating machinery is vital in manufacturing system, which can prevent catastrophic failure and reduce financial losses. Recently, Deep Learning (DL)-based fault diagnosis method becomes a hot topic. Convolutional Neural Network (CNN) is an effective DL method to extract the features of raw data automatically. This paper develops a fault diagnosis method using CNN for InfRared Thermal (IRT) image. First, IRT technique is utilized to capture the IRT images of rotating machinery. Second, the CNN is applied to extract fault features from the IRT images. In the end, the obtained features are fed into the Softmax Regression (SR) classifier for fault pattern identification. The effectiveness of the proposed method is validated using two different experimental data. Results show that the proposed method has a superior performance in identification various faults on rotor and bearings comparing with other deep learning models and traditional vibration-based method.     

内装式空射运载火箭重力出舱机箭耦合动力学分析

研究了以运输机为平台的内装式运载火箭空射过程载机和火箭的耦合动力学建模。建模针对两个阶段：第一阶段，火箭固定于载机机舱内，两者构成一个整体，按照普通刚体的力学方法处理；第二阶段，火箭解锁后，沿着舱内的发射筒向外滑行，载机和火箭形成两刚体相互作用的耦合系统，基于牛顿-欧拉法建立系统动力学模型。载机在空射火箭过程中，油门和升降舵满偏，在加速前飞的同时拉大姿态俯仰角，火箭在自身重力分量和惯性力的作用下，沿着机舱内的发射筒加速向外滑行，直至与载机分离。数值仿真分析了空射过程载机的重要力学参数的变化过程，验证了载机操控策略的可行性和安全性，可为未来中国空射运载火箭技术设计提供数据参考。