Identification of uncatalogued LEO space objects by a ground-based EO array

A ground-based electro-optical (EO) array, deployed at the Jilin Space Tracking Base of Changchun Observatory, China, has been in operation since April 2017. The array has 8 small telescopes, each has an aperture of 15 cm and a field of view of 14° × 14°. On average, the array can collect angles data over 3–4 thousand Very Short Arcs (VSAs) of Low Earth Orbit (LEO) space objects each night. Correlation of the VSA angles data with the NORAD catalogue objects results in about 85% of all the VSAs being correlated to NORAD objects. The remaining 15% VSAs angles data could be supposed from uncatalogued objects. The Initial Orbit Determination (IOD) solutions of the VSAs with the range-search method and the association results of the IODs with the geometrical method are presented. The mean IOD success rate is about 91% and the True Positive (TP) rate is more than 86%. In addition, the classical Gauss, Laplace, Gooding and Double-r angles-only IOD methods are applied to process VSA angles data and their performance is assessed. The CBTA method is used to associate the IOD tracks and compared with the geometrical method. A set of procedures for identifying the uncatalogued objects based on the VSA angles data is designed. Processing of the VSA angles data from Aug 4 to Sep 30, 2017 reveals there are possibly 415 uncatalogued LEO objects.     

Characterizing slope correction methods applied to satellite radar altimetry data: A case study around Dome Argus in East Antarctica

Slope correction is important to improve the accuracy of satellite radar elevation measurements by mitigating the slope-induced error (SE), especially over uneven ground surfaces. Although several slope correction methods have been proposed, guidance in the form of stepwise algorithm on how to implement these methods in processing radar altimetric data at the coding level, and the differences among these methods need to be presented and discussed systematically. In this paper, three existing types of slope correction methods—the direct method (DM), intermediate method (IM), and relocation method (RM, further divided into RM1 and RM2)—are described in detail. In addition, their main differences and features for various scientific applications are analyzed. We conduct a systematic experiment with CryoSat-2 Low Resolution Mode (LRM) data in a physically stable area around Dome Argus in East Antarctica, where in-situ measurements were available for comparison. The slope correction is implemented separately using the three methods, with the latest high-accuracy Reference Elevation Model of Antarctica (REMA) as the a-priori topography model. The bias and precision of the slope-corrected CryoSat-2 data results from the RM2 is ?0.18 ± 0.86 m based on the comparison with the field Global Navigation Satellite System (GNSS) data. The results from the RM2 indicate higher precision compared to those from the RM1. According to the correlation analysis of the slope-corrected CryoSat-2 data results (RM1 and RM2), the bias enlarges and the precision becomes worse when the surface slope increases from 0 to 0.85°. After a comprehensively comparative analysis, we find that the results from the RM1 and RM2 are superior in precision (0.93 m and 0.86 m) with respect to the GNSS data. The relatively low precision (1.22 m) from the IM is due to the potential error from the a-priori digital elevation model (DEM). The DM has the lowest precision (2.66 m). Another experiment over rough topography in West Antarctica is carried out for comparison, especially between the RM1 (precision of 15.27 m) and RM2 (precision of 16.25 m). In general, the RM is recommended for the SE elimination among the three methods. Moreover, the RM2 is firstly considered over smooth topography due to the superior performance in bias and precision, while the RM1 is more suggested over the rough topography because of the slightly smaller bias and better precision. The IM relies much on the accuracy of the a-prior DEM and is not usually recommended, because of the strict requirement in the sampling time between the radar altimetry data and the a-priori DEM to avoid any surface change over time.     

板间摩擦对航空连接件疲劳性能的影响

针对某型飞机外翼下壁板典型连接件结构,建立了三维有限元接触模型,对其细节弹塑性应力进行了分析,并利用局部应力应变法估算了其疲劳寿命.研究发现,连接件的疲劳性能对搭接板之间的摩擦条件是较为敏感的,随着摩擦系数的减少,板之间的摩擦力下降,孔边局部应力增大,连接件的疲劳性能下降.最后,对不同摩擦条件下的航空模拟搭接试件进行疲劳试验,试验结果与寿命估算结果较为一致,验证了分析方法的有效性.     

旅客音频控制组件测试台的研制

提出了一种旅客音频控制组件测试台的研制方案。该方案以AVR系列单片机ATxmega64为核心,测量测试电路板的当前温度和旅客音频控制组件的电阻及电压值,控制旅客音频控制组件、液晶显示屏及音频播放器之间的通信。经试验证明该测试台能完成对旅客音频控制组件的测试功能,且具有实时性好、准确率高、操作方便等特点。     

最小费用最大流模型在航班衔接问题中的应用

针对单枢纽航线网络的特点，以所需同飞机数最少，航班在枢纽机场的过站衔接最紧凑为目标，提出了描述航班衔接问题的最小费用最大流网络模型：首先将航班衔接问题转化为航班节的衔接问题并以各航班节在枢纽机场的到港，商港时刻为结点，建立了一个描述航班节衔接问题的单源汇网络，从而将航班衔接问题转化为该单源汇网络的最小费用最大流问题，利用dijkstra算法求该网络的最小费用最大流进而得到了一个需用飞机数最少，且过站衔接最紧凑的航班节衔接方案，为利用计算机自动编制并优化航班衔接方案提供了一种可行方法。     

模式识别技术在卫星敏感器系统故障检测中的应用

一个长寿命卫星需要有高可靠性和安全性。由于单个元件的寿命期有限,通常利用冗余备份技术。这样就出现了故障检测问题。本文利用统计摸式识别中的wald序贯判决法对卫星敏感器系统进行故障检测。对一个具体的系统模拟表明,这种方法是可行的。     

超高精度星间距离测量及其在卫星重力场测量中的应用

介绍卫星重力场测量的最新技术——GRACE低-低卫-卫跟踪的基本思想及其关键有效载荷。在此基础上,对高精度KBR星间距离测量的基本原理进行简要分析,并探讨其关键技术。     

航空发动机试车台自动测试系统设计

结合航空发动机试车台测试系统的发展历程,以及先进的仪器接口技术和虚拟仪表技术的使用经验,介绍了1种采用以太网络技术搭建的新型自动测试系统的构架和特点。     

含离散源损伤复合材料加筋板的压缩特性

 通过对含有离散源损伤的复合材料加筋板的压缩实验和有限元模拟,研究了离散源损伤的损伤扩展与破坏特性以及对复合材料加筋板剩余强度的影响。 结果表明，复合材料加筋板的离散源损伤用穿透蒙皮切断桁条的切口来模拟是合适的，蒙皮上的穿透切口前端有很高的应变集中，桁条被切断导致加筋板传力路线改变；离散源损伤使复合材料加筋板的压缩强度下降显著，达到60％左右； 基于Hashin失效准则的渐进损伤有限元数值模拟方法，可以有效地模拟含切口加筋板的宏观损伤扩展和破坏过程，计算结果与实验值吻合较好。     

简化的鲁棒自适应模糊动态面控制及其应用

 针对不确定严格反馈块控非线性系统,提出了一种简化的鲁棒自适应模糊动态面控制方法。利用T S模糊系统在线逼近系统的不确定及外界干扰,简化自适应参数调整方法,解决了动态面控制自适应参数过多的问题。基于Lyapunov方法及小增益理论证明了闭环系统半全局一致最终有界。该方法设计的控制器复杂性低且具有最少的在线调整自适应参数,易于工程实现。最后对所提出的方法进行了某推力矢量战斗机的Herbst机动仿真,结果表明了方法的有效性。