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。     

Aircraft nonlinear stability analysis and multidimensional stability region estimation under icing conditions

Icing is one of the crucial factors that could pose great threat to flight safety,and thus research on stability and stability region of aircraft safety under icing conditions is significant for control and flight.Nonlinear dynamical equations and models of aerodynamic coefficients of an air craft are set up in this paper to study the stability and stability region of the aircraft under an icing condition.Firstly,the equilibrium points of the iced aircraft system are calculated and analyzed based on the theory of differential equation stability.Secondly,according to the correlation theory about equilibrium points and the stability region,this paper estimates the multidimensional stability region of the aircraft,based on which the stability regions before and after icing are compared.Finally,the results are confirmed by the time history analysis.The results can give a reference for stability analysis and envelope protection of the nonlinear system of an iced aircraft.     

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.     

加装吊舱对飞机操稳特性的影响及其尺寸界定

在机身等部位加装吊舱会导致飞机气动外形发生变化,为保证飞行安全,需要评估吊舱对飞机操稳特性的影响.通过CFD方法计算了某型飞机在加装不同尺寸吊舱下的气动特性,在原型机基础上通过增量法建立飞机飞行动力学模型,以必要的操稳特性指标为依据,评估加装吊舱对原型机操稳特性的影响,并结合飞行品质标准及飞机使用限制,给出了吊舱尺寸界限.结果表明,加装吊舱对原型机短周期模态、螺旋模态、定常直线平飞和俯仰拉升时的操纵有一定的影响,依据影响绘制尺寸界定区域图可为飞机改装提供依据.     

预燃式等离子体射流点火器工作特性实验研究

为解决发动机点火包线小于飞行包线的实际问题,提供等离子体点火技术在航空发动机中的工程应用新思路,论文设计了一种预燃式等离子体射流点火器,实验研究了放电特性和射流特性。结果表明,预燃式等离子体射流点火器与空气等离子体射流点火器相比,在提升射流能量降低电源功率方面有着较大的优势,电流相同时通入甲烷在较大流量时可减小驱动电源功率,总流量为44L/min时,减幅可达14.99%;同时预燃式等离子体射流较空气等离子体射流稳定,且射流长度增加,扩大了点火面积,有利于点火。     

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。     

航空发动机适航审定喘振与失速影响因素

将气动热力基础理论与适航领域工程问题有机结合,对典型的喘振和失速影响因素开展了系统的研究,发展了一套多影响因素作用下航空发动机稳定裕度快速预估方法;在此基础上以JT9D发动机为研究对象,开展了喘振和失速主要影响因素的影响规律研究,结果显示对风扇部件稳定裕度影响权重最大的是进气畸变,对增压级和高压压气机影响权重最大的是寿命期内结构衰变。研究结果进一步明确了喘振和失速适航条款符合性验证活动的关键要素,完善了条款适航符合性验证流程,为进一步提升我国民用发动机适航审定能力提供了技术支撑。     

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.