中国地区MAGSAT卫星标量和矢量磁异常图

使用MAGSAT卫星资料,编绘中国及邻近地区的卫星磁异常图(10°N—60°N,70°E—140°E)。为了提取地壳异常场,必须从观测资料中消除主磁场、磁层场,感应场和电离层场。本文选用GSFC(12/83)地磁场模型,消除主磁场,磁层场和感应场。为了进一步消除电离层场的影响,改善相邻轨道磁异常的一致性,用纬度的二次多项式拟合每一条轨道的初始地壳异常,并从初始地壳磁异常值减去这一拟合值,从而获得最后的地壳异常值(△X,△Y,△Z,△F)。把研究地区分成1°×1°的网格,将每个网格内的磁异常进行平均,以获得网格中心点的异常值。根据这些网点值绘制中国及邻近地区的卫星标量和矢量磁异常图。等值线间隔为2nT。为了检验卫星磁异常图的可靠性,将卫星资料分成黎明组、黄昏组和联合组,分别进行处理和绘制卫星磁异常图。结果表明:根据上述资料绘制的卫星磁异常图有很好的一致性。中国地区的卫星磁异常值位于—10nT—10nT。卫星磁异常与区域构造特征有较好的一致性;塔里木地台、扬子地台和中朝地台是正磁异常区,西藏高原是负磁异常区。卫星磁异常反映出下地壳磁化强度的横向不均匀性。     

应用极值搜索算法优化无人机近距离编队飞行

针对无人机近距离编队飞行问题，采用极值搜索算法．解决其中僚机所需动力最小化的控制问题。在近距离飞行编队中，充当僚机的无人机会受到前面长机产生的旋涡力的影响，旋涡力是两飞机间距离的函数，以僚机的俯仰角作为搜索目标，寻求两无人机问的最大旋涡力．使得僚机所消耗动力最小，从而构造出最优的飞行编队结构。通过仿真．验证了所设计的控制方法能够极大地节省僚机的能量。     

无人机近距离编队飞行模型建立及控制器设计

针对无人机编队飞行问题，提出了无人机近距离编队飞行的建模方法。采用全状态量反馈．同时将气动干扰作为非线性反馈，设计出一套适用于无人机近距离编队飞行的自动驾驶仪。通过仿真验证，表明此控制器能较好地稳定优化后的编队飞行结构，并具有良好的鲁棒性。     

太阳同步卫星轨道参数的容许偏差分析

飞行任务对卫星轨道提出指标要求，这些指标决定了卫星轨道参数的容许偏差范围。结合太阳同步(准)回归轨道卫星的轨道特性，针对覆盖重叠率、太阳同步等指标，使用解析方法讨论了大气阻力摄动影响下轨道参数的容许偏差，通过分析可以初步确定轨道控制策略及能量需求，最终为轨道保持方法的设计提供参考和依据。     

小卫星编队飞行的相对运动学方程研究

以运动学方法为基础研究了编队卫星相对运动的一种更直接方法，利用不同天体力学特性，将相对位置和速度与相对轨道参数建立了联系，首先，详细推导了以运动学方法为基础的相对运动方程，据此可直接得出环绕卫星的轨道根数，其次，为有利于相对轨道分析和设计，对相对运动方程进行了简化，最后，通过例子验证了该方法的正确性，仿真结果表明该方法是有效可行的。     

卫星姿态跟踪系统的鲁棒控制器设计

研究了具有参数不确定性和外部干扰的卫星姿态跟踪控制问题。针对这一类多输入／多输出不确定非线性系统，提出了一个基于不确定项上界的鲁棒输出跟踪控制器设计方法。应用输入／输出反馈线性化法和李亚普诺夫方法，设计了一个控制律，它可确保系统输出按指数规律跟踪期望输出。该控制器计算简单，易于实现。仿真结果表明：即使系统存在不确定性，仍可在闭环系统中实现精确的姿态控制。     

某型飞机机翼Ⅱ梁框检修周期的计算

本文建立某型飞机Ⅱ梁框结构裂纹形成寿命NP 与裂纹扩展寿命N P 之间的可靠度模型 ,将安全寿命设计与损伤容限设计原理有机结合 ,计算了在给定结构可靠度下该型飞机机翼Ⅱ梁框的检修周期     

编队飞行卫星群构型保持及初始化

导出了基于相对轨道要素的编队飞行卫星群轨道相对运动控制的轨道机动方程；提出了编队飞行卫星群轨道相对运动控制的轨道机动控制策略，利用不同方向的脉冲控制相对运动的轨道参数，包括轨道平面内机动和轨道平面外机动控制。根据相对轨道要素的变轨机动控制，进行编队飞行卫星群构型的初始化。这样的构型初始化可以视作一次特殊的变轨机动控制，很容易实现编队飞行构型的初始化机动。     

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.     

Global ionospheric scintillations revealed by GPS radio occultation data with FY3C satellite before midnight during the March 2015 storm

Global observations of S4 amplitude scintillation index by the GPS Occultation Sounder (GNOS) on FengYun-3 C (FY3C) satellite reveal global dynamic patterns of a strong pre-midnight scintillations in F-region of the ionosphere during the St. Patrick’s Day geomagnetic super storm of 17–19 March 2015. The observed strong scintillations mainly occurred in the low latitudes, caused by equatorial plasma bubbles. During the main storm phase (March 17), the scintillations were first triggered in the New Zealand sector near 160°E longitudes, extending beyond 40°S dip latitude. They were also enhanced in the Indian sector, but significantly suppressed in East Asia near 120°E longitude and in Africa around 30°E longitude. During the initial recovery phase (March 18–19), the global scintillations were seldom observed in GNOS data. During the later recovery phase (after March 19), the scintillations recovered to the pre-storm level in Indian, African, and American sectors, but not in East Asian and any of Pacific sectors. These results closely correlate with observations of the density depletion structures by the Communication/Navigation Outage Forecasting System (C/NOFS) satellite, and ground-based instruments. Such consistency indicates reliability of our scintillation sensing approach even in a case-by-case comparison study. The prompt penetration electric field and disturbance dynamo electric field are suggested as the main factors that control the enhancement and inhibition of the scintillations during the storm, respectively.