考虑燃料消耗均衡性的低轨通信星座在轨星座构型重构方法研究

针对低轨（low earth orbit,LEO）通信星座在轨重构问题，分析了低轨通信星座的特点，提出了4个重构指标，即全球平均覆盖率、燃料消耗均衡性、重构总时间和重构总速度增量，并分析了提高轨道高度的重构方式。采用基于分解的多目标进化算法（multiobjective evolutionary algorithm based on decomposition，MOEA/D）对重构进行建模分析。结果表明，模型优化结果可以得出多组最优解，构成帕累托前沿，并得出燃料消耗均衡性最优的解，针对两种失效模式得出的重构总时间均为3.6×105s，速度增量方差分别为261.4m2/s2和293.4m2/s2，这些解均可恢复星座原有的覆盖性能，并使燃料消耗最为均衡。     

速率模式飞轮姿态控制系统飞轮组合平稳切换方法

对速率模式飞轮姿态控制系统的能控性、稳定性和飞轮组合切换过程进行了研究，揭示了在飞轮组合切换过程中引起卫星姿态抖动的原因，提出了通过对残余角动量进行卸载并将卸载函数同时前馈到系统输入的方法，以保持卫星姿态的稳定度。从理论上证明了可引入残余角动量进行卸载，将卸载函数同时前馈到系统输入，并且不改变原系统的能控性和稳定性。给出了某卫星飞轮切换应用实例，说明了飞轮组合平稳切换方法的有效性。     

Downsizing an orbital space robot: A dynamic system based evaluation

Small space robots have the potential to revolutionise space exploration by facilitating the on-orbit assembly of infrastructure, in shorter time scales, at reduced costs. Their commercial appeal will be further improved if such a system is also capable of performing on-orbit servicing missions, in line with the current drive to limit space debris and prolong the lifetime of satellites already in orbit. Whilst there have been a limited number of successful demonstrations of technologies capable of these on-orbit operations, the systems remain large and bespoke. The recent surge in small satellite technologies is changing the economics of space and in the near future, downsizing a space robot might become be a viable option with a host of benefits. This industry wide shift means some of the technologies for use with a downsized space robot, such as power and communication subsystems, now exist. However, there are still dynamic and control issues that need to be overcome before a downsized space robot can be capable of undertaking useful missions. This paper first outlines these issues, before analyzing the effect of downsizing a system on its operational capability. Therefore presenting the smallest controllable system such that the benefits of a small space robot can be achieved with current technologies. The sizing of the base spacecraft and manipulator are addressed here. The design presented consists of a 3 link, 6 degrees of freedom robotic manipulator mounted on a 12U form factor satellite. The feasibility of this 12U space robot was evaluated in simulation and the in-depth results presented here support the hypothesis that a small space robot is a viable solution for in-orbit operations.     

移动机器人铣削制孔系统基准检测

结合航空大部件的数字化对接装配需求,设计了一套用于对接面铣削制孔的移动机器人加工系统,并提出具体的加工工艺流程。研究了基于激光轮廓扫描仪的大量散乱点云数据的预处理算法,提出基于栅格法和迭代拟合法的对接面特征提取算法。针对移动机器人加工系统在大场景下的高精度定位问题,提出基于扫描线法和最小二乘法原理的对接基准孔坐标找正算法。通过产品的加工实验验证,对接面铣削和制孔精度满足系统要求的各项技术指标,证明了本文提出的移动机器人铣削制孔系统的装配对接面加工方法能够精确地完成大部件数字化装配任务,对提高装配质量和效率具有重要意义。     

基于模因算法的飞机装配序列规划

针对飞机制造的装配序列规划问题,提出一种基于模因算法的飞机部件装配序列规划方法。在装配优先约束矩阵和非正交干涉矩阵的基础上构建装配规划模型,以飞机零部件间的装配方向和装配工具的差异性来构建适应度函数。在非干涉解空间中进行全局搜索,获得较优的装配规划方案,通过二叉树中序遍历法将较优的方案转化为可行解,再经过交叉操作和变异操作后,在可行解空间内进行局部搜索,最终获取较优的装配方案。以某型号的飞机舱门装配为例,通过与传统遗传算法对比,证实模因算法在飞机装配序列规划中的可行性和有效性。     

基于数字孪生的智能脉动管控

为提升飞机总装脉动生产线智能化水平,开展了基于数字孪生的智能脉动管控研究。基于数字孪生五维模型理论构建了飞机总装脉动生产线数字孪生应用架构,从反应式计划调度、物流精准配送、智能作业指导、产线健康监视、资源迭代优化配置5个方面开展了技术研究,为复杂产品装配的智能制造应用提供参考。     

工艺模型驱动的物料动态精准配送技术

针对飞机装配车间传统“领料式”物料配送存在的弊端,提出了一种工艺模型驱动的物料动态精准配送方法,构建了飞机装配车间物料精准配送管理系统,阐述了系统构建涉及的关键技术难点,采用基于模型的三维可视化消耗式BOM重构方式,建立与设计了模型动态同步精准的MBOM工艺模型,利用RFID技术的优点实时获取物料信息,通过iGPS系统引导AGV物料运输平台来实现装配站位物料的高精度配送。     

太阳电池翼在轨模态光学测量优化的计算机辅助方法

非接触光学测量方法,可作为空间站太阳电池翼等大型航天器柔性部件在轨模态分析的一种潜在手段。为合理布置相机的拍摄工位及视角,有效捕捉靶标运动的位移及方向,提出了利用轨控或姿控激励下柔性附件瞬态响应的结构动力学仿真结果,结合计算机图形学仿真技术,预示虚拟靶标运动过程成像及其位移重构效果,从而对测量有效性做出判断的实验方案评价方法,并通过仿真实验对其可行性进行了验证。该方法可发展为航天器在轨模态测量的计算机辅助优化工具,能充分利用结构动力学仿真成果,弥补大型柔性部件地面实验的不足。     

飞机数字化装配系统中机身交点孔加工方法研究

针对传统交点孔加工方法加工精度低且存在回弹变形的问题,设计了一种满足飞机大部件数字化装配要求的机身交点孔精加工方法,根据交点孔的加工特性完成了机身定位与固持、数控加工中心定位以及加工工艺的总体设计,确定了交点孔加工程序原点的计算方法和编程原则,最后通过交点孔试切加工试验验证了加工方法的可行性。     

Determination of optimal samples for robot calibration based on error similarity

Industrial robots are used for automatic drilling and riveting.The absolute position accuracy of an industrial robot is one of the key performance indexes in aircraft assembly,and can be improved through error compensation to meet aircraft assembly requirements.The achievable accuracy and the difficulty of accuracy compensation implementation are closely related to the choice of sampling points.Therefore,based on the error similarity error compensation method,a method for choosing sampling points on a uniform grid is proposed.A simulation is conducted to analyze the influence of the sample point locations on error compensation.In addition,the grid steps of the sampling points are optimized using a statistical analysis method.The method is used to generate grids and optimize the grid steps of a Kuka KR-210 robot.The experimental results show that the method for planning sampling data can be used to effectively optimize the sampling grid.After error compensation,the position accuracy of the robot meets the position accuracy requirements.