硅氮烷环体的催化聚合及热解制备Si3 N4 材料

采用甲基氢二氯硅烷的氨解产物硅氮烷环体(MHSZ)为原料,以四丁基氟化铵为催化剂,制备了高分子量的硅氮烷聚合物(PHSZ),结合红外、核磁、凝胶色谱仪和热重分析了反应时间对合成的PHSZ结构、组成、分子量和陶瓷产率的影响。考察了低温氨气,高温N2气氛处理工艺对热解产物结构和组成的影响。结果表明,随着反应时间的延长,PHSZ高聚物的分子量提高,热失重降低;采用该热解方式PHSZ可转化为含碳量仅为0.5wt%的Si3N4材料,热解样品在1 600℃时完全结晶,晶相主要是α-Si3N4。     

无人机高速DS/FH混合扩频通信系统关键模块设计

针对UAV(Unmanned Aerial Vehicle,无人机)测控链路高抗干扰需求,给出了实现跳频速率20 000次/s的扩跳混合无人机测控数据链系统实现方案.系统采用跳频频率并行捕获模式.跳频源设计采用直接频率合成、DDS(Direct Digital Synthesis,直接数字频率合成)和PLL (Phase-Locked Loop,锁相环)相结合的混合频率合成技术.利用相位响应滤波器,通过正交调制技术完成MSK(Minimum Shift Keying,最小频移键控)、GMSK (GaussianMinimum Shift Keying,高斯最小频移键控)调制.通过推导得出2 bit差分解调输出与载波频率选择有关,且为四分之数据率的整数倍关系.然后通过实例分析给出了跳频频率间隔选取方法,即跳频间隔应当将临近跳频的主瓣分开,同时跳频载波频率应当设在其他跳频频谱的零点处.最后总结了高速扩跳频系统参数设计一般步骤.     

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。     

TC4钛合金静止轴肩和传统搅拌摩擦焊的温度场对比

基于有限元软件ABAQUS对6mm厚的TC4钛合金传统及静止轴肩搅拌摩擦焊温度场进行了有限元模拟.结果表明,对比传统搅拌摩擦焊接,静止轴肩搅拌摩擦焊接具有较小的高温区,前进方向上具有较大的温度梯度,厚度方向上呈现柱状椭球形分布,上、下表面温度峰值差异较小,具有重叠性较好的热循环曲线.     

直刃尖刀形状对超声辅助切削系统振动性能的影响

基于超声振动设计理论并结合超声振动变幅杆,设计了一种用于弱刚度材料超声辅助切割的直刃尖刀.建立了直刃尖刀和超声振动系统一体的有限元模型,系统分析了直刃尖刀刀体长度、厚度参数对超声振动系统谐振频率、振幅放大倍数和刀具纵向振幅的影响,探讨了刀具横向和侧向振幅沿刀具轴线方向的分布规律.针对特定的超声振动系统,确定了综合性能最优的刀具参数.研制了具有不同形状参数的去刃模拟刀具,并安装于同一超声振动系统进行测试,对仿真分析结论进行验证,理论分析与试验结果相一致.根据理论分析确定的最佳参数研制了直刃尖刀并测试了其振动性能.研究结论对超声辅助切削加工的直刃刀尖的研制提供了理论指导.     

Flight safety measurements of UAVs in congested airspace

Describing spatial safety status is crucial for high-density air traffic involving multiple unmanned aerial vehicles (UAVs) in a complex environment. A probabilistic approach is proposed to measure safety situation in congested airspace. The occupancy distribution of the airspace is represented with conflict probability between spatial positions and UAV. The concept of a safety envelope related to flight performance and response time is presented first instead of the conventional fixed-size protected zones around aircraft. Consequently, the conflict probability is performance-dependent, and effects of various UAVs on safety can be distinguished. The uncer-tainty of a UAV future position is explicitly accounted for as Brownian motion. An analytic approximate algorithm for the conflict probability is developed to decrease the computational consumption. The relationship between safety and flight performance are discussed for different response times and prediction intervals. To illustrate the applications of the approach, an experi-ment of three UAVs in formation flight is performed. In addition, an example of trajectory planning is simulated for one UAV flying over airspace where five UAVs exist. The validation of the approach shows its potential in guaranteeing flight safety in highly dynamic environment.     

幂律型流体撞击射流破碎特性直接数值模拟

凝胶推进剂的双股射流撞击雾化广泛应用于液体火箭发动机的燃烧室中,其破碎特征及雾化效果直接影响燃烧效率。为探究雾化特性的发展规律,采用直接数值模拟DNS方法,对射流速度为100m/s的剪切稀化非牛顿液体正交撞击产生的雾化特征、液体表面积、表面波、涡特性以及非牛顿特性开展研究。结果表明,射流下形成的雾化流场迅速扩张形成液膜,液膜两侧边缘破碎成大量的液丝与液滴,核心部分产生撞击波后在气体力的作用下逐步发展为带有凸起和褶皱的不稳定表面波,其撞击波波长最大可达2.46倍射流直径。液体表面积不断增长,但无量纲表面积总体呈现先下降再上升的趋势。气体中的涡量分布则分为有序附着区和无序爆炸区两类,并且涡量主要集中分布于气相区域。此外,射流撞击时产生强剪切使该液体内部的粘性系数下降,最低仅为初始粘性系数的0.3倍。     

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.     

无人机系统的安全性与危险源分析

无人机系统的战术性能及优势将使其在未来高技术战争和民用航空中发挥越来越重要的作用。然 而,由于有人机与无人机飞行事故的特点不同,使得有人机的安全性分析与管理措施不完全适用于无人机系 统。首先,对无人机系统的飞行事故进行统计分析,得出无人机系统事故的特点;然后,合理借鉴有人机的安全 性分析,定义无人机系统的安全性,提出无人机系统事故的严酷度等级划分及相应的危险可接受度;最后,从设 计、机组训练及使用操作三方面进行危险源分析。本文提出的无人机系统不安全事件发生可能性等级划分和 危险源定性分析,可为后续无人机安全管理框架的构建奠定基础。