High-fidelity geometry models for improving the consistency of CHAMP,GRACE, GOCE and Swarm thermospheric density data sets

During the last two decades, accelerometers on board of the CHAMP, GRACE, GOCE and Swarm satellites have provided high-resolution thermosphere density data to improve our knowledge on atmospheric dynamics and coupling processes in the thermosphere-ionosphere region. Most users of the data have focused on relative density variations. Scale differences between datasets and models have been largely neglected or removed using ad hoc scale factors. The origin of these scale differences arises from errors in the aerodynamic modelling, specifically in the modelling of the satellite outer surface geometry and of the gas-surface interactions. Therefore, the first step to remove the scale differences is to enhance the geometry modelling. This work forms the foundation for the future improvement of characterization of satellite aerodynamics and gas-surface interactions models at TU Delft, as well as for extending the use of sideways and angular accelerations in the aerodynamic analysis of accelerations and derivation of thermosphere datasets. Although work to improve geometry and aerodynamic force models by other authors has focused on CHAMP and GRACE, this paper includes the GOCE and Swarm satellites as well. In addition, it uses a density determination algorithm that is valid for arbitrary attitude orientations, enabling a validation making use of attitude manoeuvres. The results show an improvement in the consistency of density data between these four missions, and of data obtained before, during and after attitude manoeuvres of CHAMP and Swarm. The new models result in larger densities, compared to the previously used panel method. The largest average rescaling of density, by switching to the new geometry models is reached for Swarm at 32%, the smallest for GRACE at 5%. For CHAMP and GOCE, mean differences of 11% and 9% are obtained respectively. In this paper, an overview of the improvements and comparisons of data sets is provided together with an introduction to the next research phase on the gas-surface interactions.     

歼击机自修复控制系统仿真研究

针对歼击机自修复控制系统的综合仿真,推导了具有较大稳定域的自适应RK公式,研制了歼击机自修复控制系统一体化仿真环境,该环境支持歼击机动力学方程的线性化、故障诊断、自修复控制律设计等众多仿真实验任务。在此基础上,应用一种模型参考自修复方法对某型歼击机进行了仿真研究。     

仿真模型的可重用性研究

针对目前建模与仿真的现状和特点,分析了解决仿真模型重用的关键技术－面向对象的分析与设计方法的基本原则和重要作用。指出了面向对象技术中的抽象、信息隐藏、多态和继承等基本原则是隐藏复杂性、提高代码重用性和标准化的基础。进一步给出了模型重用的分类和前提,并重点论证了模型分类、公有属性提取、结构与参数分离、数据与处理方法的封装和ＶＶ＆Ａ技术是实现仿真模型可重用性的技术步骤。     

无人机对移动目标干扰航路问题研究

针对无人机的作战特点,结合作战目标的运动特性,研究了无人机对移动目标干扰航路的问题,引入了垂直干扰航路和跟踪干扰航路的概念,并建立了相应的干扰航路模型.通过仿真对比验证了两类航路规划方法的优缺点,从而确保对移动目标干扰航路规划的有效性,为无人机的任务规划决策提供了有力的辅助与支持.     

一种多分辨率图像目标检测算法

为解决航天遥感图像分辨率和目标尺度变化大的挑战,提出了一种基于多分辨率图像的目标检测算法。改进了自适应特征金字塔和轻量级的分类预测模块,通过使用注意力机制,从不同层次的特征图中提取语义信息。引入了一种预测目标尺度的方法,以分析图像中目标的分布和尺度信息。将算法在DOTA（Dataset for Object deTection in Aerial Images）数据集上进行了实验验证,在U-Net（一种基于卷积神经网络的语义分割算法）和ResNet-34（一种深度残差网络）两种不同的主干网络设置下,召回率和检测速度均超过了RPN（Region Proposal Network,区域提议网络）算法。提出的多分辨率图像目标检测算法能有效地提高检测精度,降低计算复杂度。     

对我国商业航天测控管理有关问题的初步探讨

国际商业航天的蓬勃发展带动了国内商业航天的兴起。以实现商业卫星高效便捷管理为目的,调研了国内外商业航天与商业航天测控的发展现状,分析了国外商业航天以及商业航天测控发展对我国商业航天测控管理的有关启示,得出了测控管理多元化大势所趋、适度鼓励商业航天测控发展势在必行等结论。同时,对我国商业航天测控管理中加强航天立法、探索商业航天测控管理新模式、加强商业卫星管理服务等问题进行了初步探讨,建议从国家层面、行业规范层面制定航天法规,卫星任务中心应支持对外联网,并加强商业航天测控地面站的国际合作,从而提高商业卫星频率、轨位、空间目标编目、发射与回收等管理服务能力。     

Multiscale Modelling of Aerospace Composites——A Perspective

This paper introduces a series of approaches in the modelling of composites with complex multiscale structures and features. Fundamental theory underlying multiscale structures are brought to light and discussed. There can be considerable benefit in the representative application of multiscale modelling techniques to civil aircraft design and this aim of this paper is to provide essential perspectives from several fields of research that may be beneficial to aerospace composites modelling methodologies if applied appropriately.     

Effects of physical correlations on long-distance GPS positioning and zenith tropospheric delay estimates

The global positioning system (GPS) has become an essential tool for the high precision navigation and positioning. The quality of GPS positioning results mainly depends on the model’s formulations regarding GPS observations, including both a functional model, which describes the mathematical relationships between the GPS measurements and unknown parameters, and a stochastic model, which reflects the physical properties of the measurements. Over the past two decades, the functional models for GPS measurements have been investigated in considerable detail. However, the stochastic models of GPS observation data are simplified, assuming that all the GPS measurements have the same variance and are statistically independent. Such assumptions are unrealistic. Although a few studies of GPS stochastic models were performed, they are restricted to short baselines and short time session lengths. In this paper, the stochastic modeling for GPS long-baseline and zenith tropospheric delay (ZTD) estimates with a 24-h session is investigated using the residual-based and standard stochastic models. Results show that using the different stochastic modelling methods, the total differences can reach as much as 3–6 mm in the baseline component, especially in the height component, and 10 mm in the ZTD estimation. Any misspecification in the stochastic models will result in unreliable GPS baseline and ZTD estimations. Using the residual-based stochastic model, not only the precision of GPS baseline and ZTD estimation is obviously improved, but also the baseline and ZTD estimations are closer to the reference value.     

一种复杂形体消隐的新方法

本文首先提出了一种视线交点法消隐原理。然后针对复杂形体投影特点,给出了一种消除复杂形体隐藏线的新方法。该方法的特点是将复杂形体分解成若干个若干凸体,并将凸体的外围线框找出,同时将待消隐线段与外围线框求交,并用交点将待消隐线段分解成若干段,每一段采用视线交点法消隐原理测试其可见性,从而达到对待消隐线段消隐的目的。