Robust optimization of aircraft weapon delivery trajectory using probability collectives and meta-modeling

 Conventional trajectory optimization techniques have been challenged by their inability to handle threats with irregular shapes and the tendency to be sensitive to control variations of aircraft. Aiming to overcome these difficulties, this paper presents an alternative approach for trajectory optimization, where the problem is formulated into a parametric optimization of the maneuver variables under a tactics template framework. To reduce the size of the problem, global sensitivity analysis (GSA) is performed to identify the less-influential maneuver variables. The probability collectives (PC) algorithm, which is well-suited to discrete and discontinuous optimization, is applied to solve the trajectory optimization problem. The robustness of the trajectory is assessed through multiple sampling around the chosen values of the maneuver variables. Meta-models based on radius basis function (RBF) are created for evaluations of the means and deviations of the problem objectives and constraints. To guarantee the approximation accuracy, the meta-models are adaptively updated during optimization. The proposed approach is demonstrated on a typical airground attack mission scenario. Results reveal that the proposed approach is capable of generating robust and optimal trajectories with both accuracy and efficiency.     

A novel testability model for health management of heading attitude system

Prognostics and health management (PHM) is very important to guarantee the reliability and safety of aerospace systems, and sensing and test are the precondition of PHM. Integrating design for testability into early design stage of system early design stage is deemed as a fundamental way to improve PHM performance, and testability model is the base of testability analysis and design. This paper discusses a hierarchical model-based approach to testability modeling and analysis for heading attitude system health management. Quantified directed graph, of which the nodes represent components and tests and the directed edges represent fault propagation paths, is used to describe fault-test dependency, and quantitative testability information is assigned to nodes and directed edges. The fault dependencies between nodes can be obtained by functional fault analysis methodology that captures the physical architecture and material flows such as energy, heat, data, and so on. By incorporating physics of failure models into component, the dynamic process of a failing or degrading component can be projected onto system behavior, i.e., system symptoms. Then, the analysis of extended failure modes, mechanisms and effects is utilized to construct fault evolution-test dependency. Using this integrated model, the designers and system analysts can assess the test suite’s fault detectability, fault isolability and fault predictability. And heading attitude system application results show that the proposed model can support testability analysis and design for PHM very well.     

Effect of Curing Temperature on the Morphology and Hydration of Mg O Expansive Material in Paste

The morphologies and hydration properties of Mg O expansive material at different curing temperatures were investigated. When the curing temperature varies from 25 ℃ to 50 ℃,the conductivity of Mg O rises from 40 to80 μs/cm,the hydration product of Mg O expansive material curing in water for 28 days is from 1.5—2 mm to 2—2.5 μm in length through SEM observation,and the expansion of pastes with 5% of the magnesium oxide is from0.36% up to 1.01%,it is increased by 2.78 times. When the content of cement paste increases to 95% and cured in water for 90 days,the brucite forms as hexaflaggy-shaped crystal,which is less than 0.1 μm and tends to aggregates.The effect of curing temperature on the hydration of Mg O expansive material is obvious.     

电子设备故障预测与健康管理技术发展新动态

电子设备是各类航空、航天等高新技术装备必不可少的重要组成部分。与机械类设备存在明显退化状态征兆不同，电子设备退化状态无明显的外在表现，尚无有效征兆对其状态进行刻画，对其进行故障预测与健康管理存在一定的困难。针对该问题，梳理了电子设备故障预测与健康管理技术的基本概念和内涵，介绍了电子设备故障预测与健康管理技术的国内外研究现状，分析了当前复杂电子设备故障预测与健康管理技术面临的挑战和对策。在此基础上，结合未来复杂电子设备新特点及该领域最新研究进展，从基于间歇故障特征的健康状态表征、面向故障预测与健康管理的测试性设计和多源特征融合的健康状态评估等方面，提出了电子设备故障预测与健康管理技术发展的新方向。     

基于特征模型的Halo轨道维持控制

平动点，尤其是共线平动点轨道在未来深空探测活动中具有重要的应用价值，但由于共线平动点轨道不稳定，运行在其上的航天器在无控情况下将很快偏离标称轨道，因此在实际任务中，轨道维持必不可少。针对地月系L₂点附近的Halo轨道维持问题，首先在圆型限制性三体模型下，利用Richardson三阶近似解析解、微分修正以及打靶法获得了用于维持控制的标称轨道；然后设计了基于特征模型理论的黄金分割控制器用于速度跟踪以及PD控制器用于位置跟踪；最后分别在圆型限制性三体模型和双圆限制性四体模型下进行了仿真分析。结果表明：在两种模型下，位置和速度的跟踪精度分别优于100 m和0.003 m/s，但双圆限制性四体模型下所需总的速度增量比圆型限制性三体模型下所需总的速度增量高一个数量级。     

运载火箭捷联惯组全自主对准技术应用研究

我国运载火箭发射前通常通过光学瞄准确定初始方位角,采用捷联惯组自对准解算获取水平姿态角。以可实现简易、快速发射的新型火箭为背景,在发射场阵风等干扰引起箭体低频微幅晃动的环境下,研究了捷联惯组自主对准技术。分析了运载火箭全自主对准的特点,利用以惯性系为参考基准的解析对准法和卡尔曼滤波精对准方法,对高精度全自主对准技术和其在运载火箭上的应用展开了详细论述。开展了全自主对准试验验证,结合新一代运载火箭首飞数据进行了分析。结果表明:捷联惯组全自主对准技术可替代复杂的光学瞄准系统,实现运载火箭发射前初始姿态的确定。     

VLBI observations to the APOD satellite

The APOD (Atmospheric density detection and Precise Orbit Determination) is the first LEO (Low Earth Orbit) satellite in orbit co-located with a dual-frequency GNSS (GPS/BD) receiver, an SLR reflector, and a VLBI X/S dual band beacon. From the overlap statistics between consecutive solution arcs and the independent validation by SLR measurements, the orbit position deviation was below 10?cm before the on-board GNSS receiver got partially operational. In this paper, the focus is on the VLBI observations to the LEO satellite from multiple geodetic VLBI radio telescopes, since this is the first implementation of a dedicated VLBI transmitter in low Earth orbit. The practical problems of tracking a fast moving spacecraft with current VLBI ground infrastructure were solved and strong interferometric fringes were obtained by cross-correlation of APOD carrier and DOR (Differential One-way Ranging) signals. The precision in X-band time delay derived from 0.1?s integration time of the correlator output is on the level of 0.1?ns. The APOD observations demonstrate encouraging prospects of co-location of multiple space geodetic techniques in space, as a first prototype.     

靶场测控设备软件质量保障新模式研究

针对靶场测控设备软件运行不稳定、软件中隐含许多问题的现状,研究适合于其开发、维护的新的质量保障模式,提出了软件巡回测试的方法;分析了造成软件问题的原因是研制单位软件研制能力不足、过程管理不规范;研究了软件巡回测试的特点、条件和方法。实践证明,巡回测试是提高测控设备软件健壮性和可靠性的有效方法,周期性的软件巡回测试是一个发现和解决测控设备软件问题的有效质量保障模式。     

面向卫星电源系统的一种新颖异常检测方法

面向卫星电源高维周期性时序遥测数据，提出了一种新颖的代表性特征自编码器（RFAE）模型，并用于无监督的异常检测。RFAE采用改进的堆叠自编码器损失函数和训练算法，从而使模型可以学习到相位相同样本的代表性特征；然后根据代表性特征重构样本，根据重构误差来判断样本是否异常。在试验部分首先通过模拟数据校验了RFAE算法能够有效地检测出高维周期性时序数据的异常，然后又采用某卫星电源系统2014年1~12月真实遥测数据进行试验，RFAE异常检测准确率达到99%，检测效果明显优于目前的其他异常检测算法，具有较高应用价值。     

适应多样化军事任务需要 提高直升机维修保障能力

分析了新形势下直升机在多样化军事行动中的使命任务,总结了目前多样化军事行动中直升机维修保障存在的问题。为适应多样化军事任务需要,提出了提高直升机维修保障能力的措施。