用于大型运载器模态试验的油气支承系统

本文主要讨论运载器模态试验对支承系统的要求,油气支承系统的分析模型,此外文中给有系统功能试验结果和应用实例.最后,对大型运载器模态试验支承系统的发展提出了基本设想和建议.     

基于BiGRU-SVDD的ADS-B异常数据检测模型

广播式自动相关监视（ADS-B）作为新一代空管监视技术，由于采用明文方式广播发送数据，因而存在易遭受网络攻击的安全问题。为了准确检测ADS-B数据攻击行为，在充分考虑时间相关性的基础上，提出了针对ADS-B数据的异常数据检测模型。首先利用双向门控循环单元（BiGRU）神经网络预测ADS-B数据，得到了ADS-B数据预测值。再将预测值和实际值作差，将差值放入支持向量数据描述（SVDD）训练，得到了能检测ADS-B异常数据的超球体分类器。并且，选择了合适的滑动窗口，在保证异常检测准确率的同时，缩短BiGRU神经网络的训练时长。实验结果表明，BiGRU-SVDD模型能检测出随机位置偏移攻击、高度偏差攻击、重放攻击、拒绝服务（DOS）等攻击下的ADS-B异常数据。并且，与其他机器学习和深度学习方法相比，BiGRU-SVDD异常检测模型的准确率更佳，适应性更优。     

Closed Environment Module – Modularization and extension of the Virtual Habitat

The Virtual Habitat (V-HAB), is a Life Support System (LSS) simulation, created to perform dynamic simulation of LSS’s for future human spaceflight missions. It allows the testing of LSS robustness by means of computer simulations, e.g. of worst case scenarios.     

Start-up current adaptive control for sensorless high-speed brushless DC motors based on inverse system method and internal mode controller

The start-up current control of the high-speed brushless DC (HS-BLDC) motor is a chal-lenging research topic. To effectively control the start-up current of the sensorless HS-BLDC motor, an adaptive control method is proposed based on the adaptive neural network (ANN) inverse system and the two degrees of freedom (2-DOF) internal model controller (IMC). The HS-BLDC motor is identified by the online least squares support vector machine (OLS-SVM) algo-rithm to regulate the ANN inverse controller parameters in real time. A pseudo linear system is developed by introducing the constructed real-time inverse system into the original HS-BLDC motor system. Based on the characteristics of the pseudo linear system, an extra closed-loop feed-back control strategy based on the 2-DOF IMC is proposed to improve the transient response per-formance and enhance the stability of the control system. The simulation and experimental results show that the proposed control method is effective and perfect start-up current tracking perfor-mance is achieved.     

天基信息支援下地基预警雷达搜索空域优化

对天基信息支援下的地基预警雷达搜索空域优化进行了研究。建立了战术弹道导弹（TBM）的运动模型和预警卫星的测量模型,用Unscented卡尔曼滤波（UKF）算法对TBM的运动状态进行滤波估计,并结合解二体运动方程确定搜索空域的中心位置,根据误差传播公式建立了搜索空域半径的确定模型。仿真结果表明：该优化方法符合反TBM预警的实际,可明显提高地基预警雷达对TBM的发现概率。     

空间遥感器大口径反射镜支撑结构型式综述

文章针对空间遥感器大口径反射镜（口径大于500mm）总结了影响支撑结构设计的主要因素，介绍了几种主要的支撑结构型式，并讨论了支撑结构设计中所需要考虑的若干问题。     

Initial design of laboratories for sustainable habitation

An effective and self-sustainable artificial habitat design is essential for human spaceflight and expansion of mankind into orbit or towards other celestial bodies. There are two approaches that need to be implemented in future sustainable habitats: the use of re-cycling technologies in order to gain experience in closed-loop processes and the primary production of resource materials using In Situ Resource Utilisation (ISRU) principles. Various products will be provided and, where applicable, recycled in such a system taking into account basic human factors requirements such as crew work load capacity, safety and well-being, namely:     

基于特征的飞机结构件加工状态监测方法

为有效监测飞机结构件加工过程中出现的刀具严重磨损、刀具破损和加工颤振等异常加工状态,提出基于特征的飞机结构件加工状态监测方法.分析了加工特征对监测加工状态监测的影响,运用小波分析方法提取加工特征关于加工状态的信号特征量,应用支持向量机方法对加工状态进行辨识.实例结果表明,该方法能有效的监测飞机结构件异常加工状态,具有较高的工程实用价值.     

Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem

With recent technological advances in remote sensing, very high-dimensional (hyperspectral) data are available for a better discrimination among different complex land-cover classes having similar spectral signatures. However, this large number of bands makes very complex the task of automatic data analysis. In the real application, it is difficult and expensive for the expert to acquire enough training samples to learn a classifier. This results in a classification problem with small-size training sample set. Recently, a regularization-based algorithm is usually proposed to handle such problem, such as Support Vector Machine (SVM), which usually are implemented in the dual form with Lagrange theory. However, it can be solved directly in primal formulation. In this paper, we introduces an alternative implementation technique for SVM to address the classification problem with small-size training sample set. It has been empirically proven that the effectiveness of the introduced implementation technique which has been evaluated by benchmark datasets.     

飞机使用保障中的技术状态管理方法研究

目前,我国军用飞机由使用方自行规划开展飞机在使用保障阶段的技术状态管理工作,缺乏信息化手 段,效率低下,且与飞机研制交付阶段的技术状态管理工作存在断层。通过研究飞机使用保障中的技术状态管 理内涵,分析技术状态标识、技术状态控制、技术状态记实、技术状态审核等内容,提出一种适用于飞机使用保 障中的技术状态管理方法,并在某型号工程研制中进行工程实践。结果表明:该方法可显著提高飞机使用保障 中的技术状态管理效率。