基于复杂动力学仿真的结冰情形下飞行安全窗构建方法

目前针对结冰情形下增强驾驶员情景感知的研究比较有限,现有的手段一般为通过评估部分飞行安全关键参数是否超出其极限值来对风险事件是否发生进行预测。建立了驾驶员操纵-飞机本体-积冰影响的动力学模型,通过对单个飞行情形预测时间段内飞行参数风险度的叠加得到该情形下的飞行安全谱,并在此基础上得到该情形下的风险值。基于建立的并行飞行仿真平台,获取飞机在整个操纵范围内的风险拓扑图,即安全窗。分析了飞机在对称结冰情形和非对称结冰情形下飞行安全窗的变化,并对结冰的致灾机理进行了分析。仿真结果表明结冰导致安全飞行范围缩减,对于非对称结冰还会出现安全窗不对称的现象。安全谱的提出可以为事故的演化分析提供一种全面直观的分析方法,安全窗的构建可为飞机遭遇各种不利情形下的驾驶员操纵提供指示,也可为飞机设计人员优化飞机性能提供一定的参考。     

协同空战仿真中感知的研究

现有的基于空间的感知模型不能准确地描述协同空战仿真系统中协作CGF的感知范围.因此,提出一种基于空间感知和协作感知的感知模型.根据CGF的视觉特征和CGF承担协作任务的相关性确定CGF的感知范围,划分感知层次.实验证明,该感知模型结合合理的兴趣域管理方法能够有效降低网络带宽占用,适宜协同空战仿真系统中兴趣域管理的实施.     

态势感知的概念与发展综述及微纳仿生态势感知系统的顶层设计

简要综述西方科技强国的态势感知概念、态势感知系统研发现状与应用、主要研发计划,总结其经验与教训,分析中国发展态势感知技术的迫切性与突破点.提供解决方案,介绍科研课题"微纳仿生空间态势感知器"中的态势感知概念、包括需求分析、模型设计、概要设计、应用设计的系统顶层设计内容.态势是指生物或系统对其内部状态和外部环境的"综合印象",包括自身状况和变化趋势、外部环境呈现出的某种状态和形势、发展趋势等.具有类似生物感知能力的态势感知器需要对自身状况、外界环境的多种物理量进行综合监测,其目的在于获取自身和环境的全面的、系统的信息.应用成熟的微纳米技术成果,以仿生学为主要理论导引,采用快速原型法设计开发基于微纳米技术和仿生学的态势感知器,可以广泛应用在太空、军事、环境保护、工业、消费电子等领域.     

邓小平法治理论与社会转型期法治建设

邓小平法制理论对我国社会转型期法制建设的启迪有以下几个方面：社会转型期法治进程是政府推进与自然演进结合型的长期过程。现代法治并不仅仅是制度问题，而且与生活状态、行为方式和文化模式密切相关。只有发挥两者的良性互动。才能推进中国法治进程．保障民主政治目标的实现；确定和培养法治精神是转型期法治建设的灵魂，法治的真谛是良法之治并以规约权力保障权利为首要目标；多元化的市民社会是法治的社会土壤．它能构成对国家权力的有效分解、平衡和制约，使现代法治真正在中国大地上生根和发展：公民意识是构成法治的文化土壤．它奠定法律信仰的基础．构成法治秩序的内在支撑力量。     

无人战斗机的态势感知模型框架

提出了利用面向对象的贝叶斯网络构建无人战斗机的态势感知模型框架，探索了有利于多机协同作战的态势感知模型，以及作战环境具有多个不同威胁实体的态势感知；给出了无人战斗机态势感知的特点及威胁水平评估模型，以及构建基于多机协同的态势感知模型的具体步骤。     

面向过程控制的工程变更系统研究

针对工程变更过程中变更传播影响范围难以预测的问题,提出了一种制定变更传播路径的方法。研究分析了跟踪工程变更过程以及在跟踪基础上进行协同感知的策略,有效解决了目前企业工程变更过程中存在的不完整、不可控和不一致的问题。最后创建了一种基于过程控制的工程更改控制系统,实现了信息共享、过程控制、过程分析和协同感知。     

直升机前视地形告警算法研究

为了更好地利用直升机地形感知与告警系统,减少可控飞行撞地事故的发生,提出了一种适用于直升机地形感知与告警系统的前视地形告警算法.首先介绍了直升机前视地形告警的基本原理,并给出了前视告警包线的设计流程;然后提出了前视告警包线下视边界、前视边界、上视边界和横侧边界的确定方法;最后构建仿真算例进行了仿真验证.仿真结果表明,提出的算法可以在直升机飞行撞地前提前预警.     

A Partially Orthogonal EnKF approach to atmospheric density estimation using orbital debris

A key requirement for accurate trajectory prediction and space situational awareness is knowledge of how non-conservative forces affect space object motion. These forces vary temporally and spatially, and are driven by the underlying behavior of space weather particularly in Low Earth Orbit (LEO). Existing trajectory prediction algorithms adjust space weather models based on calibration satellite observations. However, lack of sufficient data and mismodeling of non-conservative forces cause inaccuracies in space object motion prediction, especially for uncontrolled debris objects. The uncontrolled nature of debris objects makes them particularly sensitive to the variations in space weather. Our research takes advantage of this behavior by utilizing observations of debris objects to infer the space environment parameters influencing their motion.The hypothesis of this research is that it is possible to utilize debris objects as passive, indirect sensors of the space environment. We focus on estimating atmospheric density and its spatial variability to allow for more precise prediction of LEO object motion. The estimated density is parameterized as a grid of values, distributed by latitude and local sidereal time over a spherical shell encompassing Earth at a fixed altitude of 400 km. The position and velocity of each debris object are also estimated. A Partially Orthogonal Ensemble Kalman Filter (POEnKF) is used for assimilation of space object measurements to estimate density.For performance comparison, the scenario characteristics (number of objects, measurement cadence, etc.) are based on a sensor tasking campaign executed for the High Accuracy Satellite Drag Model project. The POEnKF analysis details spatial comparisons between the true and estimated density fields, and quantifies the improved accuracy in debris object motion predictions due to more accurate drag force models from density estimates. It is shown that there is an advantage to utilizing multiple debris objects instead of just one object. Although the work presented here explores the POEnKF performance when using information from only 16 debris objects, the research vision is to utilize information from all routinely observed debris objects. Overall, the filter demonstrates the ability to estimate density to within a threshold of accuracy dependent on measurement/sensor error. In the case of a geomagnetic storm, the filter is able to track the storm and provide more accurate density estimates than would be achieved using a simple exponential atmospheric density model or MSIS Atmospheric Model (when calm conditions are assumed).     

An optimization approach for observation association with systemic uncertainty applied to electro-optical systems

The observation to observation measurement association problem for dynamical systems can be addressed by determining if the uncertain admissible regions produced from each observation have one or more points of intersection in state space. An observation association method is developed which uses an optimization based approach to identify local Mahalanobis distance minima in state space between two uncertain admissible regions. A binary hypothesis test with a selected false alarm rate is used to assess the probability that an intersection exists at the point(s) of minimum distance. The systemic uncertainties, such as measurement uncertainties, timing errors, and other parameter errors, define a distribution about a state estimate located at the local Mahalanobis distance minima. If local minima do not exist, then the observations are not associated. The proposed method utilizes an optimization approach defined on a reduced dimension state space to reduce the computational load of the algorithm. The efficacy and efficiency of the proposed method is demonstrated on observation data collected from the Georgia Tech Space Object Research Telescope.     

美国空间对抗装备的新进展

简要介绍了美国空间对抗装备的最新发展情况.着重分析了美国近期重点关注的空间武器.指出天基空间态势感知装备、天基反卫反导武器和激光反卫星武器将是美国空间对抗装备的发展方向.