A simple control law for reducing the effective characteristic acceleration of a solar sail

The direction and magnitude of a solar sail acceleration are strongly related. For this reason, once the characteristic acceleration has been fixed, it is not possible to modulate the acceleration in a particular direction. In this work, a semi-analytical switching control law is derived, enabling a solar sail to emulate a smaller effective characteristic acceleration (without changes in geometry or optical properties); by periodically changing the pitch (cone) angle of the sail, in average over time, the acceleration produced by the sail matches exactly (in both direction and magnitude) that of a “smaller” sail. The range in which this is possible is determined, and the limitations on this range due to the size difference is computed. The method is validated on optimal Earth-Mars trajectories.     

Air route network optimization in fragmented airspace based on cellular automata

Air route network optimization,one of the essential parts of the airspace planning,is an effective way to optimize airspace resources,increase airspace capacity,and alleviate air traffic con gestion.However,little has been done on the optimization of air route network in the fragmented airspace caused by prohibited,restricted,and dangerous areas (PRDs).In this paper,an air route network optimization model is developed with the total operational cost as the objective function while airspace restriction,air route network capacity,and non-straight-line factors (NSLF) are taken as major constraints.A square grid cellular space,Moore neighbors,a fixed boundary,together with a set of rules for solving the route network optimization model are designed based on cellular automata.The empirical traffic of airports with the largest traffic volume in each of the 9 flight information regions in mainland China is collected as the origin-destination (OD) air port pair demands.Based on traffic patterns,the model generates 35 air routes which successfully avoids 144 PRDs.Compared with the current air route network structure,the number of nodes decreases by 41.67％,while the total length of flight segments and air routes drop by 32.03％ and 5.82％ respectively.The NSLF decreases by 5.82％ with changes in the total length of the air route network.More importantly,the total operational cost of the whole network decreases by 6.22％.The computational results show the potential benefits of the model and the advantage of the algorithm.Optimization of air route network can significantly reduce operational cost while ensuring operation safety.     

基于企业战略规划的维修资源布局

主要分析在民航十三五规划及企业战略规划的背景下，航空公司应该如何配置和布局维修资源，以满足自身机队发展及维修保障能力提升的需要。     

基于计划到达时刻的四维航迹规划

为了加速空管自动化与智能化技术的应用与实施,提出了水平航迹与高度/速度剖面分阶段设计的四维航迹规划方法。基于动态时间规整与层次聚类方法实现历史雷达航迹聚类分析,完成水平航迹设计。建立速度剖面规划模型,通过航迹生成器与速度调整器交互协作,精细化控制进场时间,以满足计划到达时间要求。以上海浦东国际机场PINOT进场航班为例实施验证,结果表明,四维航迹规划方法可有效实现航班的计划到达时间,从而减少航班延误,提高终端空域运行效率。     

基于MBD的数控加工工艺技术研究

针对传统数控加工工艺设计面临的问题,提出在基于MBD(Model Based Definition)的设计与工艺协同的新模式下,实现工厂工艺资源管理、数控加工工艺设计、工序模型的创建及三维标注、结构化工艺设计、三维作业指导卡的发布等一体化管理与应用.结构化工艺设计技术的应用将极大地缩短产品研制生产周期,为全面推进工厂的数字化建设提供了保障.     

基于压缩量偏差约束的整体叶盘砂布轮数控抛光路径规划

数控抛光是实现整体叶盘叶片表面光整加工自动化、高效化的关键技术,而抛光路径规划对表面质量有着显著的影响。在抛光曲面时,砂布轮沿接触曲线上的径向压缩量偏差导致材料去除量一致性较差。针对该问题,提出一种基于压缩量偏差约束的路径规划方法。通过对砂布轮受曲面挤压变形几何分析,建立了自由曲面抛光接触线上砂布轮压缩变形量分布模型。在给定刀触点处,以接触曲线上最大压缩量偏差最小化为评价指标构建了刀轴矢量优化模型,并利用改进的粒子群优化（PSO）算法进行求解。基于最优刀轴矢量,完成自由曲面上等参数相邻刀触轨迹曲线的计算。最后,通过数据对比和试验,验证了所提方法的正确性和有效性。结果表明,抛光区域的轮廓度、粗糙度均得到明显的改善。     

小型固定翼无人机集群综述和未来发展综述

围绕小型固定翼无人机集群这一难度高、发展快、应用前景广阔、多学科交叉的新方向,从集群系统内涵、现有典型项目、关键技术3个角度综述了国内外小型固定翼无人机集群的研究现状。在系统梳理集群系统内涵和应用优势的基础上,从集群协同模式探索、分布指挥体系构建、核心关键技术突破和集群验证等4个视角总结现有典型项目,从体系架构、通信组网、决策与规划、飞机平台、集群飞行、集群安全与集群指控等7个核心点综述了技术研究现状。最后,综合小型固定翼无人机集群中亟需解决的关键技术,展望了这一领域未来的发展趋势。     

Coactive design of explainable agent-based task planning and deep reinforcement learning for human-UAVs teamwork

Unmanned Aerial Vehicles (UAVs) are useful in dangerous and dynamic tasks such as search-and-rescue, forest surveillance, and anti-terrorist operations. These tasks can be solved better through the collaboration of multiple UAVs under human supervision. However, it is still difficult for human to monitor, understand, predict and control the behaviors of the UAVs due to the task complexity as well as the black-box machine learning and planning algorithms being used. In this paper, the coactive design method is adopted to analyze the cognitive capabilities required for the tasks and design the interdependencies among the heterogeneous teammates of UAVs or human for coherent collaboration. Then, an agent-based task planner is proposed to automatically decompose a complex task into a sequence of explainable subtasks under constrains of resources, execution time, social rules and costs. Besides, a deep reinforcement learning approach is designed for the UAVs to learn optimal policies of a flocking behavior and a path planner that are easy for the human operator to understand and control. Finally, a mixed-initiative action selection mechanism is used to evaluate the learned policies as well as the human’s decisions. Experimental results demonstrate the effectiveness of the proposed methods.     

基于间接法在线能力评估和自主规划技术研究

针对运载火箭推力故障条件下的自主救援任务,研究了一种基于间接法的在线能力评估和自主规划方法.构建了以入轨点能量最大为最优性能指标的最优控制问题.通过数值方法探讨了在满足轨道倾角和入轨点路径角约束条件下,入轨点速度、远地点和近地点跟入轨高度之间的关系,设计了一种与入轨高度相关的特征量来对入轨能力进行评估.以近地点最高为救...     

多曲面岛屿五轴螺旋刀位轨迹规划

针对复杂拓扑关系的多曲面岛屿加工,以叶片阻尼台为研究对象,提出基于清根刀心轨迹的五轴球头刀螺旋刀位轨迹生成算法。首先建立局部坐标系,定义并确定中轴线,然后按层逐点创建投影射线,利用实体求交构造初始刀心螺旋轨迹;通过变步长迭代算法修正,使得刀心点距实体最短距离在加工精度范围内等于刀具半径。最后根据实体结构控制刀轴矢量,规划出无干涉的螺旋刀位轨迹。算例表明,本文算法统一了阻尼台加工与清根加工,避免了复杂偏置曲面片的构造,保证在加工过程中没有冗余进退刀的同时刀具不会过切叶身曲面,实现了阻尼台多曲面岛屿五轴球头刀高效精密加工。