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...     

飞行控制系统对驾驶员诱发振荡的影响

着重从飞行控制系统角度谈有人驾驶飞机的驾驶员诱发振荡问题,分析了系统杆力、传动比、间隙、摩擦力以及飞控伺服作动器对驾驶员诱发振荡的影响,用矢量图简明地反映飞机产生驾驶员诱发振荡的可能性和趋势。对飞机飞行控制系统的设计和对驾驶员诱发振荡现象的分析、处理有参考价值。     

动能拦截器变结构自动驾驶仪设计方法研究

介绍了动能拦截器自动驾驶仪回路组成和动力学模型 ,重点研究了动能拦截器自动驾驶仪的变结构控制律设计 ,并进行了原理性的数学仿真计算。数学仿真表明 ,变结构自动驾驶仪具有很好的快速性和很高的姿态控制精度 ,可以满足动能拦截器对姿态控制的要求     

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。     

整级环境下涡轮叶片型面加工几何偏差影响的不确定性分析

加工等过程中产生的几何偏差会导致涡轮叶片气动性能及工作状态发生显著变化,对该影响的准确评估与合理分析具有重要意义.本文提出了一种考虑三维型面几何偏差对气动性能影响的不确定性计算分析方法,包括随机叶型几何建模、不确定性量化计算和敏感性分析等,并结合某一单级高压涡轮进行分析.基于随机过程理论和主成分分析法,参考现有叶片加工...     

折叠机翼变体飞机非对称变形控制效率分析

折叠机翼变体飞机变形量大,变形引起的气动参数变化显著,提出一种将非对称变形作为操纵输入的控制方案,研究非对称变形的控制效率和有效区间。首先建立能够完整描述变形过程的非线性动力学方程和气动力模型;然后基于非对称变形控制方法建立一种非对称变形操纵模型;最后通过与常规操纵面效率对比和仿真的动态响应总结出非对称变形操纵的最大变形操纵有效区间。结果表明:在较低飞行速度下非对称变形操纵效率高,非对称变形操纵能够在基准折叠角度90°附近提供最高的滚转操纵效率。     

Modeling and control for cooperative transport of a slung fluid container using quadrotors

In this paper, dynamic modeling and control problem for transfer of a sloshing liquid container suspended through rigid massless links from a team of quadrotors are investigated. By the proposed solution, pose of the slung container and fluid sloshing modes are stabilized appropriately. Dynamics of the container-liquid-quadrotors system is modeled by Euler-Lagrange method. Fluid slosh dynamics is included using multi-mass-spring model. According to derived model, a proper control law is designed for a system with three or more quadrotors. Implementing the proposed control law, quadrotors can control pose of the container, directions of the links and liquid sloshing modes simultaneously. Stability of closed loop system of tracking errors and sloshing modes are demonstrated using a theory of singularly perturbed systems and Lyapunov stability theorem. Also, the capability of the proposed feedback control laws in solving a formerly organized transport problem of a liquid filled container has been demonstrated in simulations. Moreover, priority of the proposed control scheme to an existing slung load controller in the literature is demonstrated.     

Modeling and experimental validation of sawing based lander anchoring and sampling methods for asteroid exploration

This paper presents a novel lander anchoring system based on sawing method for asteroid exploration. The system is composed of three robotic arms, three cutting discs, and a control system. The discs mounted at the end of the arms are able to penetrate into the rock surface of asteroids. After the discs cut into the rock surface, the self-locking function of the arms provides forces to fix the lander on the surface. Modeling, trajectory planning, simulations, mechanism design, and prototype fabrication of the anchoring system are discussed, respectively. The performances of the system are tested on different kinds of rocks, at different sawing angles, locations, and speeds. Results show that the system can cut 15?mm deep into granite rock in 180?s at sawing angle of 60°, with the average power of 58.41?W, and the “weight on bit” (WOB) of 8.637?N. The 7.8?kg anchoring system is capable of providing omni-directional anchoring forces, at least 225?N normal and 157?N tangent to the surface of the rock. The system has the advantages of low-weight, low energy consumption and balance forces, high anchoring efficiency and reliability, and could enable the lander to move and sample or assist astronauts and robots in walking and sampling on asteroids.