Orbit-attitude-vibration coupled dynamics of tethered solar power satellite

A new orbit-attitude-vibration coupled dynamic model of the tethered solar power satellite (Tethered SPS) is established based on absolute nodal coordinate formulation. The Hamilton’s equation of the system is derived by introducing generalized momentum through Legendre transformation. The correctness of the proposed model is verified by an example. The dynamic characteristics of the Tethered SPS are studied using the symplectic Runge-Kutta method. Simulation results show that the orbital radius and the total energy of the system are well preserved. The attitude of the system is unstable when the mass of the bus system is small. However, the attitude stability is dependent on some other parameters of the system, which requires further studies. It is also found that the average tether force/deformation can be roughly estimated by simplifying the solar panel as a particle. The proposed model can be used to study the orbit-attitude-vibration coupled dynamics and control problems.     

Manifold structure preservative for hyperspectral target detection

A nonparametric method termed as manifold structure preservative (MSP) is proposed in this paper for hyperspectral target detection. MSP transforms the feature space of data to maximize the separation between target and background signals. Moreover, it minimizes the reconstruction error of targets and preserves the topological structure of data in the projected feature space. MSP does not need to consider any distribution for target and background data. So, it can achieve accurate results in real scenarios due to avoiding unreliable assumptions. The proposed MSP detector is compared to several popular detectors and the experiments on a synthetic data and two real hyperspectral images indicate the superior ability of it in target detection.     

A robust object-based shadow detection method for cloud-free high resolution satellite images over urban areas and water bodies

Unwanted contrast in high resolution satellite images such as shadow areas directly affects the result of further processing in urban remote sensing images. Detecting and finding the precise position of shadows is critical in different remote sensing processing chains such as change detection, image classification and digital elevation model generation from stereo images. The spectral similarity between shadow areas, water bodies, and some dark asphalt roads makes the development of robust shadow detection algorithms challenging. In addition, most of the existing methods work on pixel-level and neglect the contextual information contained in neighboring pixels. In this paper, a new object-based shadow detection framework is introduced. In the proposed method a pixel-level shadow mask is built by extending established thresholding methods with a new C₄ index which enables to solve the ambiguity of shadow and water bodies. Then the pixel-based results are further processed in an object-based majority analysis to detect the final shadow objects. Four different high resolution satellite images are used to validate this new approach. The result shows the superiority of the proposed method over some state-of-the-art shadow detection method with an average of 96% in F-measure.     

薄膜充气管充气展开特性试验

用展开导轨消除因重力产生的摩擦力,在不同充气速率与初始展开角条件下对薄膜材料充气管的充气展开特性进行了试验研究,获得了展开角,以及展开加速度和内气压的变化规律。试验及分析结果表明:充气管的充气膨胀与展开相互独立,充气膨胀过程近似为等压增容过程,折叠部位的气压变化特性与整体气压变化特性差异明显。     

用于高压动态校准的快开阀装置

介绍一种高压快开阀装置。它可产生３７０ＭＰａ上升时间小于２０μｓ的阶跃压力，用于对高压传感器进行动态校准。     

塑性动态断裂过程中梁的塑性铰转动因子的确定方法

运用理论分析方法和实测试验方法，探讨了梁在塑性动态断裂过程中，其塑性铰转动因子的变化规律，提出了断裂过程中塑性铰几何转动因子的概念及其确定方法，并以３点弯曲梁理论分析解为例，计算了梁在塑性动态断裂过程中，其塑性铰转动因子的变化规律。该计算结果与３点弯曲梁动态断理解实验实测相一致。理论分析进一步明确了梁的塑性铰转动因子具有几何与物理两种不同的本质含意，并可直接用于修正梁的塑性动态断裂的理论分析解。     

飞机横侧动稳定性及反应的奇异摄动理论

应用奇异摄动法分析横侧小扰动运动的动稳定性问题,将四阶问题分解为小根、大根和复根模态,它对应于经典理论中的螺旋、滚转和荷兰滚模态,并给出了动态反应过程的解。     

故障检测与分离的广义一致性算子法

本文提出了故障检测与分离的广义一致性算子法的一般形式。得出了两个故障可分离的充要条件和多个故障可分离的充要条件。最后给出了检测和分离故障的过程。     

用Visual FoxPro进行动态界面的设计

本文介绍用 Visual FoxPro的定时器。标签、按钮等控件和控件的属性、方法、事件等在界面上设计动态字幕、动态按钮等若干动态效果的方法。     

神经网络在未来超分辨雷达中的应用

最新的技术发展已为研制超分辨雷达创造了条件。它能够突破普通雷达基于匹配滤波原理的分辨能力,而实现超分辨。超分辨雷达的巨大计算量通常来自求解非线性最小二乘问题时的多维搜索。本文针对这一问题,研究了雷达信号处理中的两个典型例子:(1)利用阵列处理检测个数已知而方向未知的雷达目标;(2)对波音727飞机进行超分辨距离多普勒成像。说明Hop-field神经网络通过集体运算能够求解各种困难的最优化问题,因而在未来的超分辨雷达中有广阔的应用前景。