自主交会对接若干问题

自主交会对接是交会对接技术的发展趋势。本文首先介绍了国际上自主交会对接的研究概况，然后研究了假设目标航天器为刚体，运动在圆轨道或近圆轨道上，追踪航天器与目标航天器在近距离范围内实现自主交会对接的若干问题，即信息自主获取的测量技术，智能自主的控制技术和保证飞行状态及避免碰撞的人工智能技术。为实现自主交会对接，智能控制是非常重要的手段。     

航天器交会对接中GPS的应用

卫星定位和卫星通讯是正在寻求的空间飞行器高级自主交会系统的首选测控手段。本文概述了航天器的交会对接基本要求和过程以及美国全球定位系统（ＧＰＳ）和组成、定位原理、精度和差分原理后，列出了两种形式的相对运动方程。利用运动方程求解、单纯ＧＰＳ、差分ＧＰＳ的结合，可以完成追踪航天器向目标航天器接近的整个导引过程，且可以省去庞大的地面遥控遥测、星上雷达等设备，减少误差源。仿真计算证实了这一设计思想的可行性和     

周边式对接机构对接捕获阶段的三体力元动力学模型

在空间交会对接过程中，从首次接触碰撞到完成捕获这一阶段称为对接捕获阶段，对对接捕获阶段动力学性态的研究是空间交会对接技术的关键，建立动力学模型进行仿真是研究的一个有效途径。以有内导向瓣异体同构周边式对接机构为研究对象，从机构的物理模型出发建立了对接捕获阶段的三体力元模型。该模型考虑了缓冲系统六个方向之间的耦合和缓冲系统中齿轮等转动部件惯量的影响。并在动力学仿真软件DADS的接口上开发相应的用户模块。在DADS平台上完成对接过程的动力学仿真。     

对接机构综合试验台运动模拟器建模分析

空间对接机构六自由度综合试验台，是对接机构研制所必须的地面试验设备之一，用于对接机构空间对接过程的仿真试验，全面考核对接机构的捕获与缓冲校正能力。利用虚功原理建立了对接机构综合试验台运动模拟器的多体动力学模型，该模型全面地表征了六自由度运动模拟器的动力学特性，且具有简单、通用的形式，对六自由度运动平台的液压驱动系统进行了建模，从而建立六自由度运动模拟器系统模型。在建立该模型的基础上，使用Simulink对运动模拟器的位置跟踪特性进行了仿真分析，结果表明所设计的控制系统满足工程试验的需求。     

交会对接最后逼近阶段CCD相机的测量方法

本文提出交会对接最后逼近阶段，在ＣＣＤ相（及二极管阵列）任意安装条件下，测量追踪飞行器相对于目标飞行器位置和姿态的方位角法和成象法测量方案，及在采用单机和多机时的算法，并进行了分析比较。在采用单机时，精度很高，而采用双机或多机，算法简单，速度快。将两者结合起来，可以较好地解决该阶段的测量问题。     

Aircraft robust multidisciplinary design optimization methodology based on fuzzy preference function

This paper presents a Fuzzy Preference Function-based Robust Multidisciplinary Design Optimization (FPF-RMDO) methodology. This method is an effective approach to multidisciplinary systems, which can be used to designer experiences during the design optimization process by fuzzy preference functions. In this study, two optimizations are done for Predator MQ-1 Unmanned Aerial Vehicle (UAV): (A) deterministic optimization and (B) robust optimization. In both problems, minimization of takeoff weight and drag is considered as objective functions, which have been optimized using Non-dominated Sorting Genetic Algorithm (NSGA). In the robust design optimization, cruise altitude and velocity are considered as uncertainties that are modeled by the Monte Carlo Simulation (MCS) method. Aerodynamics, stability and control, mass properties, performance, and center of gravity are used for multidisciplinary analysis. Robust design optimization results show 46% and 42% robustness improvement for takeoff weight and cruise drag relative to optimal design respectively.     

均等通信时滞下多UAV协同编队控制

多无人机(UAV)系统编队控制中,时滞是无法回避的问题,研究时滞对多UAV编队形成和系统稳定性的影响,具有重要理论价值。重点研究均等通信时滞下多UAV协同编队控制问题,并获得系统的稳定性条件。首先,设计具有均等通信时滞的协同编队控制律,得到多UAV编队系统的闭环时滞状态方程;在恒定均等时滞下,考虑到系统模型不确定性,基于线性矩阵不等式(LMI)理论得到系统的时滞依赖稳定性条件;最后,进行仿真实验,结果表明多UAV编队系统是稳定的,期望的编队队形能够形成并保持。     

Relative position and attitude estimation of spacecrafts based on dual quaternion for rendezvous and docking

The capacity to acquire the relative position and attitude information between the chaser and the target satellites in real time is one of the necessary prerequisites for the successful implementation of autonomous rendezvous and docking. This paper addresses a vision based relative position and attitude estimation algorithm for the final phase of spacecraft rendezvous and docking. By assuming that the images of feature points on the target satellite lie within the convex regions, the estimation of the relative position and attitude is converted into solving a convex optimization problem in which the dual quaternion method is employed to represent the rotational and translational transformation between the chaser body frame and the target body frame. Due to the point-to-region correspondence instead of the point-to-point correspondence is used, the proposed estimation algorithm shows good performance in robustness which is verified through computer simulations.     

Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory

Unmanned Aerial Vehicle (UAV) swarms have been foreseen to play an important role in military applications in the future, wherein they will be frequently subjected to different disturbances and destructions such as attacks and equipment faults. Therefore, a sophisticated robustness evaluation mechanism is of considerable importance for the reliable functioning of the UAV swarms. However, their complex characteristics and irregular dynamic evolution make them extremely challenging and uncertain to evaluate the robustness of such a system. In this paper, a complex network theory-based robustness evaluation method for a UAV swarming system is proposed. This method takes into account the dynamic evolution of UAV swarms, including dynamic reconfiguration and information correlation. The paper analyzes and models the aforementioned dynamic evolution and establishes a comprehensive robustness metric and two evaluation strategies. The robustness evaluation method and algorithms considering dynamic reconfiguration and information correlation are developed. Finally, the validity of the proposed method is verified by conducting a case study analysis. The results can further provide some guidance and reference for the robust design, mission planning and decision-making of UAV swarms.     

An aggregate flow based scheduler in multi-task cooperated UAVs network

Unmanned Aerial Vehicles (UAVs) cooperative multi-task system has become the research focus in recent years. However, the existing network frameworks of UAVs are not flexible and efficient enough to deal with the complex multi-task scheduling, because they are not able to perceive the different features. In this paper, a novel cooperated UAVs network framework for multi-task scheduling is proposed. It is a three-layer network including a core layer, an aggregation layer and an execution layer, which enhances the efficiency of multi-task distribution, aggregation and transmission. Furthermore, an AggreGate Flow (AGFlow) based scheduler is dedicatedly designed to maximize the task completion rate, whose key point is to aggregate flows belonging to one task during the multi-task transmission of UAVs network and to allocate priority by calculating the urgency-level of each AGFlow. Simulation results demonstrate that, compared with that of state-of-the-art scheduler, the average task completion rate of AGFlow based scheduler is raised by 0.278.