GEO编队空间机器人系统交会方法

针对地球静止轨道（GEO）上被服务航天器的远距离和非合作特点,提出一种高自主、高协同、多任务的编队空间机器人在轨服务系统方案,实现对非合作目标的自主交会接近。首先,分析GEO卫星轨道约束力小的轨道特征和非合作的信息交互特征,给出由操作空间机器人和监视空间机器人组成的编队在轨服务系统,设计交会接近相对测量分系统以及在轨服务飞行任务;接着,给出典型远距离交会接近的多视线相对导航方法与多冲量相对制导律;最后,进行远距离交会任务仿真校验,结果表明编队空间机器人交会接近方法是有效的。     

六自由度气浮台及其姿态平台自动平衡系统设计

针对卫星交会对接中相对姿态和位置的控制问题,设计一种6自由度（DOF）气浮台,并推导出描述两个气浮台模拟卫星交会对接运动的耦合6自由度(DOF)动力学模型。为解决气浮台模拟空间失重环境中的重力力矩干扰问题,设计一种基于应用新颖的快速非奇异终端滑模面的自适应有限时间控制器的自动平衡系统,估计出质心位置,通过控制三个平衡质量块补偿姿态平台质心与旋转中心之间的位置偏差。李雅普诺夫理论推导和仿真结果表明,该方法可以快速完成对姿态平台质心位置的准确估计,实现质心与旋转中心的高度重合。     

民用飞机预研论证权威真相源构建技术

权威真相源不仅是基于模型的系统工程实施的核心要素,也是"数字工程战略"的关键环节。对权威真相源构建技术进行了研究,包括对权威真相源进行了定义和分析,设计了权威真相源的构建目标和原则,构建了权威真相源的架构和业务流程,并对构建权威真相源的支持技术进行了研究。梳理了民用飞机预研论证的业务流程、专业模型和基础模型,最后通过民用飞机预研论证验证机的案例研究,证实了权威真相源构建技术的可行性。民用飞机预研论证权威真相源能够有效提升系统工程的组织性,提升协同设计效率,同时能够提高模型和系统设计的重用性,减少系统工程实施的复杂度,缩小开发成本。     

基于机器学习的空间翻滚目标实时运动预测

借助监督式机器学习（ML）方法,对空间翻滚目标的运动状态预测问题进行研究,为空间机器人抓捕空间翻滚目标提供可靠的数据依据。基于物理模型的运动预测方法依赖理想的建模假设,需要连续的视觉反馈信息,解决目标预测问题的能力有限。因此,本文采用机器学习中纯数据驱动方式的稀疏伪输入高斯过程（SPGP）回归方法进行空间翻滚目标的运动预测。给定空间翻滚目标运动状态的历史观测数据,通过连续优化真实观测数据,得到稀疏的伪训练数据集,进而在线快速预测目标的运动状态,预测的计算效率达到毫秒级。此外,利用马尔科夫链蒙特卡洛（MCMC）法处理连续优化过程,克服由于随机初始值造成的优化过程陷入局部极小值问题。利用Snelson数据验证了所提稀疏伪输入高斯过程回归方法的正确性,并通过4组仿真算例验证了所提方法对于空间翻滚目标运动预测的有效性和鲁棒性。     

飞行器径向连接螺栓振动断裂分析

应用有限元分析结合试验数据,获得随机振动环境下飞行器径向连接螺栓的载荷功率谱密度（PSD）;采用基于弯曲效应的载荷与应力的线性关系,获取螺栓头根部的名义应力功率谱密度;基于Dirlik经验公式,获取应力随机过程的峰值概率密度函数和预期波峰数,联合Miner线性累积损伤模型及经应力集中系数修正的材料S-N曲线,评估径向连接螺栓头根部振动疲劳寿命,获得的结果与试验螺栓头断裂现象符合,并确定螺栓断裂原因为低频共振疲劳。     

无人机地面控制站通用化软件架构

通用化是无人机地面控制站的重要发展趋势.开展通用化软件架构研究,对于实现无人机地面控制站通用化至关重要.以指挥控制软件为例,结合其操作流程和功能,分析了通用化软件架构设计需求,提出了软件架构设计的流程和原则,给出了通用化软件架构设计的具体实现.     

Computational aerodynamic analysis on perimeter reinforced （PR）-compliant wing

Abstract Implementing the morphing technique on a micro air vehicle （MAV） wing is a very chal- lenging task, due to the MAWs wing size limitation and the complex morphing mechanism. As a result, understanding aerodynamic characteristics and flow configurations, subject to wing structure deformation of a morphing wing MAV has remained obstructed. Thus, this paper presents the investigation of structural deformation, aerodynamics performance and flow formation on a pro- posed twist morphing MAV wing design named perimeter reinforced （PR）-compliant wing. The numerical simulation of two-way fluid structure interaction （FSI） investigation consist of a quasi- static aeroelastic structural analysis coupled with 3D incompressible Reynolds-averaged Navier- Stokes and shear-stress-transport （RANS-SST） solver utilized throughout this study. Verification of numerical method on a rigid rectangular wing achieves a good correlation with available exper- imental results. A comparative aeroelastic study between PR-compliant to PR and rigid wing per- formance is organized to elucidate the morphing wing performances. Structural deformation results show that PR-compliant wing is able to alter the wing＇s geometric twist characteristic, which has directly influenced both the overall aerodynamic performance and flow structure behavior. Despite the superior lift performance result, PR-compliant wing also suffers from massive drag penalty, which has consequently affected the wing efficiency in general. Based on vortices investigation, the results reveal the connection between these aerodynamic performances with vortices formation on PR-comoliant wing.     

MIDACO on MINLP space applications

A numerical study on two challenging mixed-integer non-linear programming (MINLP) space applications and their optimization with MIDACO, a recently developed general purpose optimization software, is presented. These applications are the optimal control of the ascent of a multiple-stage space launch vehicle and the space mission trajectory design from Earth to Jupiter using multiple gravity assists. Additionally, an NLP aerospace application, the optimal control of an F8 aircraft manoeuvre, is discussed and solved. In order to enhance the optimization performance of MIDACO a hybridization technique, coupling MIDACO with an SQP algorithm, is presented for two of these three applications. The numerical results show, that the applications can be solved to their best known solution (or even new best solution) in a reasonable time by the considered approach. Since using the concept of MINLP is still a novelty in the field of (aero)space engineering, the demonstrated capabilities are seen as very promising.     

A point-wise least squares spectral analysis (LSSA) of the Caspian Sea level fluctuations,using TOPEX/Poseidon and Jason-1 observations

The Caspian Sea has displayed considerable fluctuations in its water level during the past century. Knowledge of such fluctuation is vital for understanding the local hydrological cycles, climate of the region, and construction activities within the sea and along its shorelines. This study established a point-wise satellite altimetry approach to monitor the fluctuations of the Caspian Sea using a complete dataset of TOPEX/Poseidon for the period 1993 to the middle of 2002, and its follow-on Jason-1 for the period 2002 to August 2009. Therefore, 280 virtual time-series were constructed to monitor the fluctuations. The least squares spectral analysis (LSSA) method is, then employed to find the most significant frequencies of the time-series, while the statistical method of principle component analysis (PCA) is applied to extract the dominant variability of level variations. The study also used the observations of TOPEX/Poseidon and Jason-1 over the Volga River along with 5 years of Volga’s water discharge to study its influence on the Caspian Sea level changes. The LSSA results indicate that the lunar semidiurnal (M2) and the Sun semidiurnal (S2) frequencies are the main tidal frequencies of the Caspian Sea with the mean amplitude of 4.2 and 2.8 cm, respectively. A statistically significant long-term frequency (12.5-years period) is also found from altimetry and tide gauge observations. A phase lag, related to the inter-annual frequencies of the Volga River was detected from the point-wise time-series showing level propagation from the northwest to the southeast of the sea. The cross-correlation between the power spectrum of Volga and that of the northern-most, middle, and southern-most points within the Caspian Sea were respectively 0.63, 0.51 and 0.4 of zero-lag correlation, corroborating the influence of the Volga River. The result of PCA also shows that different parts of the Caspian Sea exhibit different amplitudes of level variations, indicating that the point-wise approach, when employing all available satellite measurements could be a suitable method for a preliminary monitoring of this inland water resource as it gives accurate local fluctuations.