基于听觉感知的驾驶舱信息提示设计研究

为研究飞机驾驶舱中不同的听觉信息提示方式对感知效率、关注程度影响差异,基于飞行仿真场景构建飞行任务,在任务执行中提供听觉刺激提示,采集被试任务全过程中的脑电信号并进行了时域和频域维度的分析,对比语言听觉/非语言听觉以及不同播报速度的工效影响,总结了被试对驾驶舱听觉信息提示的反应特征,为听觉信息提示的人机交互设计提供参考建议.     

基于知识图谱和自动机器学习的软件缺陷预测

不稳定和召回率低效的软件缺陷预测模型难以在行业领域应用，为解决稳定和高效各项性能评价指标的软件缺陷预测模型在工程实践应用的问题，提出了一种基于知识图谱和自动化机器学习的软件缺陷预测方法AutoKGGAS，首先获取软件缺陷预测模型数据，对知识建模、知识获取、知识融合、知识储存与知识计算等知识图谱构建技术研究，实现知识图谱推荐优质软件缺陷预测模型作为自动化搜索的热启动输入条件，根据不同的软件缺陷预测评价指标，优化不同最佳的模型结构.其次实证研究采用NASA开源数据集实验对象和六种性能评价指标，实验结果表明， AutoKGGAS自动化软件缺陷预测模型在不同数据集不同评价指标方面，性能优于知识图谱推荐的传统经典软件缺陷预测模型.自动化软件缺陷预测模型为航天软件缺陷预测辅助代码审查测试提供了原型，在工程实践应用方面具有重要的意义.     

空天飞行器返回滑翔段在线制导方法

针对空天往返飞行器的返回滑翔段在线制导问题，设计了一种新的滑翔段飞行剖面，实现了滑翔段终端交班高度、位置和倾角约束的自动满足，减少了在线制导算法中需处理的约束数量。推导了滑翔段运动状态、过程约束和性能指标的解析表达式，获得了剩余航程和终端速度间的函数关系。在此基础上，提出了一种双层在线制导方法：内层解析重构飞行剖面，同时通过解析确定路径点来改变剩余航程的变化率，进而对终端交班速度进行控制；外层借助解析表达式，使用粒子群优化算法(PSO)和改进共轭梯度法(CGM)优化飞行剖面，从而满足过程约束和指标要求。最后通过数学仿真验证了方法的正确性。     

涡轮基组合循环发动机分布式控制系统通信网络混合拓扑结构优化方法

涡轮机组合循环(Turbine based combined cycle,TBCC)发动机控制系统通信网络拓扑结构是其分布式控制系统方案设计的重要部分,优化网络拓扑结构可提高发动机推重比和控制系统可靠性。本文基于智能优化算法提出TBCC分布式控制系统网络拓扑结构优化方法。基于图论建立TBCC几何模型和网格模型,以重量和可靠性为优化性能指标,同时考虑发动机表面高温区域以及控制节点的工作可靠性,分别采用粒子群算法和遗传算法优化星形结构中智能中央节点位置、中央节点的环形拓扑结构,获得星形-环形混合拓扑结构。仿真实例表明,基于本文方法优化所得的混合拓扑结构相较于星形集中式控制结构,系统重量降低了51.9%。     

Evaluation of SARAL/AltiKa performance using GNSS/IMU equipped buoy in Sajafi,Imam Hassan and Kangan Ports

Performance of SARAL/AltiKa mission has been evaluated within 2016 altimeter calibration/validation framework in Persian Gulf through three campaigns conducted in the offshore waters of Sajafi, Imam Hassan and Kangan Ports, while the altimeter overflew the passes 470, 111 and 25 on 13 Feb, 7 March and 17 June 2016, respectively. As the preparation, a lightweight buoy was equipped with a GNSS receiver/choke-ring antenna and a MEMS-based IMU to measure independent datasets in the field operations. To obtain accurate sea surface height (SSH) time series, the offset of the onboard antenna from the equilibrium sea level was predetermined through surveying operations as the buoy was deploying in the onshore waters of Kangan Port. Accordingly, the double-difference carrier phase observations have been processed via the Bernese GPS Software v. 5.0 so as to provide the GNSS-derived time series at the comparison points of the calibration campaigns, once the disturbing effects due to the platform tilt and heave have been eliminated. Owing to comparing of the SSH time series and the associating altimetry 1?Hz GDR-T datasets, the calibration/validation of the SARAL/AltiKa has been performed in the both cases of radiometer and ECMWF wet troposphere corrections so as to identify potential land contamination. An agreement of the present findings in comparison with those attained in other international calibrations sites confirms the promising feasibility of Persian Gulf as a new dedicated site for calibration/validation of ongoing and future altimetry missions.     

轨控大干扰下的系统角动量管理

摘要： 针对利用角动量交换装置系统实现轨控期间姿态维持的情况，研究当轨控推力器存在大力矩扰动时系统角动量管理方法.结合对地运行航天器轨道运动特性，分析轨控干扰力矩的积累角动量变化规律；考虑角动量管理装置系统的角动量存贮容量，基于角动量积累规律提出了一种结合偏置角动量建立与对称分布轨控位置选择的系统角动量管理方法，实现了对称轨控位置积累角动量互相抵消的自平衡效果，极大程度地提高轨控效率且避免系统角动量饱和现象.所提出的方法适用于喷气欠驱动控制系统，方法的有效性通过了数学仿真验证及在轨型号应用.     

Comparison of GPS derived TEC with the TEC predicted by IRI 2012 model in the southern Equatorial Ionization Anomaly crest within the Eastern Africa region

We have compared the TEC obtained from the IRI-2012 model with the GPS derived TEC data recorded within southern crest of the EIA in the Eastern Africa region using the monthly means of the 5 international quiet days for equinoxes and solstices months for the period of 2012 – 2013. GPS-derived TEC data have been obtained from the Africa array and IGS network of ground based dual-frequency GPS receivers from four stations (Kigali (1.95°S, 30.09°E; Geom. Lat. 11.63°S), Malindi (2.99°S, 40.19°E; Geom. Lat. 12.42°S), Mbarara (0.60°S, 30.74°E; Geom. Lat. 10.22°S) and Nairobi (1.22°S, 36.89°E; Geom. Lat. 10.69°S)) located within the EIA crest in this region. All the three options for topside Ne of IRI-2012 model and ABT-2009 for bottomside thickness have been used to compute the IRI TEC. Also URSI coefficients were considered in this study. These results are compared with the TEC estimated from GPS measurements. Correlation Coefficients between the two sets of data, the Root-Mean Square Errors (RMSE) of the IRI-TEC from the GPS-TEC, and the percentage RMSE of the IRI-TEC from the GPS-TEC have been computed. Our general results show that IRI-2012 model with all three options overestimates the GPS-TEC for all seasons and at all stations, and IRI-2001 overestimates GPS-TEC more compared with other options. IRI-Neq and IRI-01-corr are closely matching in most of the time. The observation also shows that, GPS TEC are underestimated by TEC from IRI model during noon hours, especially during equinoctial months. Further, GPS-TEC values and IRI-TEC values using all the three topside Ne options show very good correlation (above 0.8). On the other hand, the TEC using IRI-Neq and IRI-01- corr had smaller deviations from the GPS-TEC compared to the IRI-2001.     

通信拓扑切换下的多飞行器协同拦截方法

针对通信拓扑切换条件下的多飞行器协同拦截问题，提出了一种基于扩张状态观测器的协同制导方法。建立协同制导设计模型，将协同拦截问题转换为视线稳定条件下的剩余飞行时间调节问题。为解决机动目标状态不确定的问题，将目标的状态视作扰动，设计扩张状态观测器来估计机动目标的状态，并在制导律中对目标的机动进行补偿。利用有限时间一致性理论进行一致性控制协议的设计，实现各飞行器剩余飞行时间的有限时间一致，并利用Lyapunov稳定性理论分析通信拓扑切换情况下闭环系统的有限时间稳定性，给出了系统一致收敛时间。仿真结果表明，在通信拓扑变换的情况下，设计的观测器能够有效估计目标状态，且协同制导律能够满足对剩余飞行时间的控制要求，进而实现协同拦截。     

在片校准标准件基底边界条件影响

通过分析国内外校准标准件物理边界条件，研究不同校准基底的物理边界条件对共面波导（CPW）传输线特性和校准准确度的影响。研制了W波段砷化镓衬底的多线TRL在片校准标准件，将在片校准标准件分别放置在金属卡盘、玻璃片、吸波材料三种校准基底上。用三种不同校准基底的校准标准件对试验装置校准后，分别提取了CPW传输线的衰减常数、相对介电常数和特征阻抗，并对商用校准标准件104-783A的短路标准和传输线标准进行了测试，验证了结果的合理性。     

Optimization of bits allocation and path planning with trajectory constraint in UAV-enabled mobile edge computing system

In this paper, an Unmanned Aerial Vehicle (UAV) enabled Mobile Edge Computing (MEC) system is studied, in which UAV acts as server to offer computing offloading service to the Mobile Users (MUs) with limited computing capability and energy budget. We aim to minimize the total energy consumption of MUs by jointly optimizing the bit allocation for uplink, computing at the UAV and downlink, along with the UAV trajectory in a unified framework. To this end, a trajectory constraint model is employed to avoid sudden changes of velocity and acceleration during flying. Due to high-order information in use, we lead to a more reasonable nonconvex optimization problem than prior arts. An Alternating Direction Method of Multipliers (ADMM) method is introduced to solve the optimization problem, which is decomposed into a set of easy sub-problems, to meet the requirement on the efficiency in edge computing. Numerical results demonstrate that our approach leads a smoother UAV trajectory, significantly save the energy consumption for UAV during flying.