测量船船摇前馈数据处理方法研究及应用

船摇前馈是航天测量船稳定性设计方法之一。实践证明,船摇前馈对改善系统误差有益,目标速度前馈特别是加速度前馈的改善效果要比船摇前馈的好。分析原因,一方面是目标相对船摇来说变化慢,低频分量多,滤波后能够比较准确地得到所要的值,前馈精度也就高;另一方面是船摇前馈值特别是加速度前馈比较难以准确获得。因此,准确地计算前馈量,是补偿测量设备伺服系统滞后造成的误差,达到高精度地跟踪目标的关键之一。本文详细给出了船摇前馈量的具体计算公式,并在卫星发射任务中进行了应用和验证。     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

Space Weather applications with CDPP/AMDA

AMDA (Automated Multi-Dataset Analysis), a new data analysis service, recently opened at the French Plasma Physics Data Center (CDPP). AMDA is developed according to the Virtual Observatory paradigm: it is a web-based facility for on-line analyses of space physics. Data may come from its own local database as well as remote ones. This tool allows the user to perform classical manipulations such as data visualization, parameter computation and data extraction. AMDA also offers innovative functionalities such as event searches on the content of the data in either visual or automated ways, generation, use and management of time tables (event lists). The general functionalities of AMDA are presented in the context of Space Weather with example scientific use cases.     

中间件技术的研究及应用

本文在分析了分布式应用系统体系结构发展变化的基础上．阐述了中间件的概念、功能和在可重用、多异构数据源应用系统的作用，对ODBC、BDE／IDAPIT、0LEDB／ADO和JDBC等分布式数据库中间件；CGI、lSAPI／NSAPI、ASP、JSP等中间件进行了分析比较，并给出了中间件技术在教务管理信息系统的应用实例。     

航天软件中多重中断程序的动态检测方法研究

随着控制系统软硬件平台的设计复杂度不断增加,特别是飞行控制系统中集成的传感器不断增多,中断数量也随之不断增加.本文根据飞控系统的具体特点,使用标记迁移系统对多重中断并发程序进行建模,提出了原子性违背和数据竞争的形式化描述,运用动态偏序化简算法对程序的状态空间进行化简,并设计实现了多重中断控制系统程序的动态检测工具,实验结果表明该检测算法可以在满足对多重中断并发程序错误检测的基础上,大大的缩短检测时间.     

基于实测星载原子钟数据的脉冲星守时方法

利用脉冲星估计星载原子钟钟差是实现卫星自主守时的途径之一。为充分分析基于脉冲星的自主守时系统性能，利用实测的星载原子钟钟差数据和中子星内部组成探测器(neutron star interior composition explorer, NICER)的PSR B1937+21脉冲星的观测数据，对比分析了星载原子钟和脉冲星的误差特性。设计了脉冲星守时系统框架和星载原子钟钟差估计方法。以实测的星载原子钟钟差数据为基础，计算分析了脉冲星守时系统的性能。计算结果表明，若脉冲星的脉冲到达时间（time of arrival, TOA）解算精度为1 μs/30 d，则原子钟钟差估计精度可达到优于1 μs的水平，初步验证了脉冲星守时系统的可行性。     

A salient edges detection algorithm of multi-sensor images and its rapid calculation based on PFCM kernel clustering

Multi-sensor image matching based on salient edges has broad prospect in applications, but it is difficult to extract salient edges of real multi-sensor images with noises fast and accurately by using common algorithms. According to the analysis of the features of salient edges, a novel salient edges detection algorithm and its rapid calculation are proposed based on possibility fuzzy C-means （PFCM） kernel clustering using two-dimensional vectors composed of the values of gray and texture. PFCM clustering can overcome the shortcomings that fuzzy C-means （FCM） cluster- ing is sensitive to noises and possibility C-means （PCM） clustering tends to find identical clusters. On this basis, a method is proposed to improve real-time performance by compressing data sets based on the idea of data reduction in the field of mathematical analysis. In addition, the idea that kernel-space is linearly separable is used to enhance robustness further. Experimental results show that this method extracts salient edges for real multi-sensor images with noises more accurately than the algorithm based on force fields and the FCM algorithm; and the proposed method is on average about 56 times faster than the PFCM algorithm in real time and has better robustness.     

星间链路在空间态势感知中的应用研究

通过对星间链路和空间态势感知系统国内外发展现状的分析,指出星间链路在空间信息有效获取、安全传输和实时应用以及保障空间态势感知系统战场生存能力等方面起着重要的作用.针对星间链路在未来空间态势感知系统中的应用需求,提出包含空间通信模型和空间导航模型在内的空间感知体系基本架构,并对该架构下星间链路的设计要求或者特点进行分析,指出星间链路应该具有灵活可变的星间路由策略和联网结构,并能够支持高速可变和安全可靠的星间数据传输.分别从空间网络和卫星节点2个层面提出了系统实现的关键技术,并给出部分关键技术的研究重点和研究方法.上述研究结果可以为星间链路及相关领域的研究工作提供一定的借鉴和帮助.     

民机防冰系统自然结冰试飞技术研究

结合某型民机自然结冰条件下防冰系统的试飞,对试飞所需的测试改装工作进行了总结,并对试飞前需进行的各种安全性评估进行了总结说明,明确了试飞中需考虑的各种构型情况,提出一套循序渐进的自然结冰试飞方法。同时提出了试飞中结冰气象参数的可接受性判据,最后针对自然结冰试飞中结冰气象参数的处理提出了分段等效处理的方法。