基于总线式集成框架的本体构建及映射研究

通过本体的构建及相应的本体映射策略,可以很好地解决信息集成过程中出现的语义异构问题。是实现异构数据源语义解析的基础。在已有研究成果总线式信息集成框架的基础上,针对目前本体构建过程存在的不足,提出了基于共享词汇表的全局本体构建技术和基于UML的局部本体构建技术,使所构建的本体元素间关系更加准确完备,具有良好的一致性。提出了基于综合相似度的本体映射策略,大大提高了本体映射的精度。     

基于网络的GPS时钟信号发布系统

从空管的实际应用出发,本次研究尝试以TCP Server/Client的模式进行GPS时钟信号的网络发布,通过这种方式实现多套系统灵活的时钟信号引接。     

基于B/S的空管自动化综合航迹显示系统的设计与实现

提出一种基于B/S的综合航迹显示系统,该系统通过解析空管自动化系统的综合航迹实现了在IE浏览器上对区域内的航迹的监视。系统实现主要包括三部分:一是综合航迹的接收,主要通过对同步串口卡的数据读取;二是对数据的数据库处理;三是对综合航迹的显示。系统实现了对MH4008003类数据的解析以及对空管自动化系统的地图解析,并且在IE界面上提供了航迹态势显示以及用户交互接口。     

基于T-S模糊模型的模糊大系统的混合滤波

针对非线性大系统内部过程参数的检测估计,采用连续模糊大系统模型,利用lyapunov定理和分布式处理方法,给出了模糊大系统的H2/H∞混合滤波器设计方法。该方法在保证滤波误差系统全局稳定的同时,具备了H2/H∞性能。通过求解线性矩阵不等式,可以得到滤波器参数。最后,用一个数值例子验证了该方法的正确性和有效性。     

A coupling VWM/CFD/CSD method for rotor airload prediction

A coupling fluid-structure method with a combination of viscous wake model(VWM),computational fluid dynamics(CFD) and comprehensive structural dynamics(CSD) modules is developed in this paper for rotor unsteady airload prediction. The hybrid VWM/CFD solver is employed to model the nonlinear aerodynamic phenomena and complicated rotor wake dynamics;the moderate deflection beam theory is implemented to predict the blade structural deformation; the loose coupling strategy based on the ‘delt method' is used to couple the fluid and structure solvers.Several cases of Helishape 7A rotor are performed first to investigate the effect of elastic deformation on airloads. Then, two challenging forward flight conditions of UH-60 A helicopter rotor are investigated, and the simulated results of wake geometry, chordwise pressure distribution and sectional normal force show excellent agreement with available test data; a comparison with traditional CFD/CSD method is also presented to illustrate the efficiency of the developed method.     

基于TC783A的三相电动机缺相保护电路的设计与实现

介绍用于三相电动机缺相保护装置的设计方法,采用集成芯片TC783A为核心元件实现,有效地解决三相电动机其他保护元件的局限性。具有快速切断控制回路电源的功能及缺相指示和相序指示,试验证明系统工作性能良好。     

A fast pulse phase estimation method for X-ray pulsar signals based on epoch folding

X-ray pulsar-based navigation (XPNAV) is an attractive method for autonomous deep-space navigation in the future. The pulse phase estimation is a key task in XPNAV and its accuracy directly determines the navigation accuracy. State-of-the-art pulse phase estimation techniques either suffer from poor estimation accuracy, or involve the maximization of generally non-convex object function, thus resulting in a large computational cost. In this paper, a fast pulse phase estimation method based on epoch folding is presented. The statistical properties of the observed profile obtained through epoch folding are developed. Based on this, we recognize the joint prob-ability distribution of the observed profile as the likelihood function and utilize a fast Fourier transform-based procedure to estimate the pulse phase. Computational complexity of the proposed estimator is analyzed as well. Experimental results show that the proposed estimator significantly outperforms the currently used cross-correlation (CC) and nonlinear least squares (NLS) estima-tors, while significantly reduces the computational complexity compared with NLS and maximum likelihood (ML) estimators.     

Evaluation and improvement of coastal GNSS reflectometry sea level variations from existing GNSS stations in Taiwan

Global sea level rise due to an increasingly warmer climate has begun to induce hazards, adversely affecting the lives and properties of people residing in low-lying coastal regions and islands. Therefore, it is important to monitor and understand variations in coastal sea level covering offshore regions. Signal-to-noise ratio (SNR) data of Global Navigation Satellite System (GNSS) have been successfully used to robustly derive sea level heights (SLHs). In Taiwan, there are a number of continuously operating GNSS stations, not originally installed for sea level monitoring. They were established in harbors or near coastal regions for monitoring land motion. This study utilizes existing SNR data from three GNSS stations (Kaohsiung, Suao, and TaiCOAST) in Taiwan to compute SLHs with two methods, namely, Lomb–Scargle Periodogram (LSP)-only, and LSP aided with tidal harmonic analysis developed in this study. The results of both methods are compared with co-located or nearby tide gauge records. Due to the poor quality of SNR data, the worst accuracy of SLHs derived from traditional LSP-only method exceeds 1?m at the TaiCOAST station. With our procedure, the standard deviations (STDs) of difference between GNSS-derived SLHs and tide gauge records in Kaohsiung and Suao stations decreased to 10?cm and the results show excellent agreement with tide gauge derived relative sea level records, with STD of differences of 7?cm and correlation coefficient of 0.96. In addition, the absolute GNSS-R sea level trend in Kaohsiung during 2006–2011 agrees well with that derived from satellite altimetry. We conclude that the coastal GNSS stations in Taiwan have the potential of monitoring absolute coastal sea level change accurately when our proposed methodology is used.     

基于层次分析法的综合射频架构选取技术研究

综合射频系统是作战飞机航空电子系统的重要组成部分，它们是作战飞机通过无线电方式感知外界信息的重要系统。系统架构的选取直接影响了飞机的作战性能，针对以往架构选取依赖大量定性分析而缺乏定量对比问题，提出了基于层次分析法的综合射频架构选取技术，该技术能够有效地根据不同的任务需求和平台需求，综合考虑定量和定性因素，给出更为合理对比分析结果，为综合射频系统的系统设计提供技术支撑。该技术也可推广到航空领域其他多目标决策问题的应用。     

新一代战斗机非定常流动数值研究综述

新一代战斗机强调超机动能力和强隐身性，其中大攻角下的静态失速、动态失速及内埋弹仓绕流是与高机动和强隐身密切相关的、极具挑战的几类典型的非定常流动，它们对数值方法提出了极高的要求。为了高精度地仿真流场、清楚地揭示流动机理，有效地控制非定常流动，非常有必要发展高精度且高效率的RANS-LES混合方法体系，包含RANS-LES混合方法本身、与RANS-LES混合方法匹配的高精度自适应耗散格式、基准湍流模式、高质量计算网格、高精度时间推进方法、非定常量的统计方法等，具有极强的紧迫性。提出、发展、验证并应用该类方法数值仿真新一代战斗机（包括单独部件、组合体、甚至全机）的非定常流动，数值预测结果与风洞实验数据吻合良好；此类方法可为新型战斗机设计提供理论依据和分析手段。