Modeling irregular small bodies gravity field via extreme learning machines and Bayesian optimization

Close proximity operations around small bodies are extremely challenging due to their uncertain dynamical environment. Autonomous guidance and navigation around small bodies require fast and accurate modeling of the gravitational field for potential on-board computation. In this paper, we investigate a model-based, data-driven approach to compute and predict the gravitational acceleration around irregular small bodies. More specifically, we employ Extreme Learning Machine (ELM) theories to design, train and validate Single-Layer Feedforward Networks (SLFN) capable of learning the relationship between the spacecraft position and the gravitational acceleration. ELM-base neural networks are trained without iterative tuning therefore dramatically reducing the training time. Analysis of performance in constant density models for asteroid 25143 Itokawa and comet 67/P Churyumov-Gerasimenko show that ELM-based SLFN are able learn the desired functional relationship both globally and in selected localized areas near the surface. The latter results in a robust neural algorithm for on-board, real-time calculation of the gravity field needed for guidance and control in close-proximity operations near the asteroid surface.     

基于 Kriging与多点取样算法的压气机特性建模

针对航空燃气轮机流量系数插值建模过程中,获取样本数据时的实验成本较高以及插值模型精度偏低这 2个问题,根据样本点在设计空间中的分布与模型精度的关系,在 Kriging插值模型的基础上,采用把垂距作为设计变量取值标准的取样算法。首先,将样本点与相邻 2点之间连线的垂距与垂距阈值进行比较,筛选出符合条件的数据点,形成候选点集;其次,选用高斯函数判定基础点集和候选点集的相关性;最后,使用该算法筛选后的样本点构建 Kriging插值模型。实验结果表明,该方法使用的样本点为原来数量的 70%左右,并且预测精度得到了提高,该方法是有效可行的。     

Factor graph based navigation and positioning for control system design: A review

Navigation and positioning is an important and challenging problem in many control engineering applications. It provides feedback information to design controllers for systems. In this paper, a bibliographical review on factor graph based navigation and positioning is presented. More specifically, the sensor modeling, the factor graph optimization methods, and the topology factor based cooperative localization are reviewed. The navigation and positioning methods via factor graph are considered a...     

关于模糊逻辑系统及其建模函数的数学描述

模糊逻辑系统按真值化处理与推量规则导出最优系统数学表达式。在线性定常状态下,分别建立起连续与间断系统的数学模型,归纳出模糊控制的等效解法。并应用模糊数学算法,对一非线性实例绘制出双模控制框图。     

飞机飞行载荷测量载荷方程的优选

介绍用应变计方法测量飞机飞行载荷的载荷方程,应用方差分析和下检验技术进行优选,逐次剔除无应电桥和多余电桥,经自动计算,得到仅会对某种载荷有显著贡献的少量电桥的最优载荷方程,供飞行试验测量飞机飞行载荷使用。算例结果表明,此方法获得最优载荷方程有效。     

GD钢贝氏体相变动力学研究

利用Ｆｏｒｍａｓｔｏｒ－Ｆ全自动相变仪对ＧＤ钢贝氏体相变动力学进行了系统的研究。结果表明,ＧＤ钢贝氏体等温转变相变动力学曲线可以用Ｊｏｈｎｓｏｎ－Ｍｅｈｌ型方程精确地加以描述。根据贝氏体相变的总激活能判断,试验钢上、下贝氏体相变的过渡温度约为２８５℃。     

飞机发电机电压调节系统数学模型的建立与研究

讨论了研制的某60kVA交流电源的调压系统工作原理与组成结构。在实验基础上,利用MATLAB强大的模型辨识和数值计算功能,建立了调压系统数学模型,并对其进行仿真分析,最后给出验证实验波形。两种结果都表明励磁电流反馈在改善系统稳态性能的同时也影响系统动态性能,和理论分析一致,证明建模方法和结果是正确有效的,可以为调压系统的参数设计与性能分析提供重要的理论依据,而且对研究数字调压器的控制算法有参考价值。     

航空后续备件周转比例计算

首先根据航空后续备件消耗的特点,将后续备件分为四类:有寿件、可修件、消耗件和低耗件;对于前三类分别建立了计算模型,对于低耗件,提出了专家估算方法。经实际验证,本文提供的方法可以达到满意的结果。     

航炮武器系统效能的数学模型研究

在讨论武器系统效能评估定义的基础上,综述了航炮武器系统效能评定的方法,并以美国工业界武器系统效能咨询委员会(WSEIAC)提出的E=A*D*C模型为基本框架,建立航炮武器系统效能评价方法的数学模型。     

基于3DS MAX模型的无人直升机实时监控系统三维建模

分析OpenGL中三维建模的主要方法,结合共轴式无人直升机实时监控飞行系统的设计需要,得出利用3DS MAX的输出模型进行三维建模可以大大提高效率。分析3DS MAX主要输出文件的结构,指出OpenGL建模所需的要素。设计并实现了3DS MAX到OpenGL的模型转换模块,能够分离出3DS MAX场景中的三维模型,为在实时监控系统中再现3DS模型并构造监控飞行系统的三维场景提供灵活性。