Cooperative fault detection and recovery in the GNSS positioning of mobile agent swarms based on relative distance measurements

Relative measurements are exploited to cooperatively detect and recover faults in the positioning of Mobile Agent(MA) Swarms(MASs). First, a network vertex fault detection method based on edge testing is proposed. For each edge, a property that has a functional relationship with the properties of its two vertices is measured and tested. Based on the edge testing results of the network, the maximum likelihood principle is used to identify the vertex fault sources. Second, an edge distance testing...     

基于拉普拉斯矩阵的网络社区划分算法在电缆网测试中的应用

在低频电缆网导通绝缘测试中，对电缆网连接节点的划分是开展低频电缆网测试的基础。通过电缆网连接节点的划分，可以高效低成本完成转接电缆和测试方案的设计，将能够大大节省电缆网性能测试的周期和成本，为工程项目任务中电缆网快速、高效、准确测试奠定基础。目前，对电缆网的测试一般直接通过连接器进行转接电缆设计，这种方法由于转接电缆连接器芯点分配的问题，导致测试效率较低。针对以上问题，提出改进型的转接电缆设计方法，并针对改进型设计方法中子网络难划分的痛点问题，采用基于拉普拉斯矩阵的网络社区划分算法完成电缆网相关性大的子网络的划分。该方法解决了节点多、关联性强的电缆网子网络划分问题，经过仿真验证，使用划分后设计的转接电缆进行电缆网测试，测试效率得到提升。     

耐高温复合材料在火星探测器着陆器减速伞筒盖结构上的应用

针对火星探测器着陆巡视器减速伞筒盖结构在轨运行耐温度交变、辐照等空间环境和再入过程耐温度冲击性能需求,重点开展了筒盖复合材料耐温匹配性、力学性能、耐空间环境性能以及制件成型工艺研究。结果表明,选用J-168-1胶黏剂、J-245胶黏剂及T300/QY8911复合材料制备的试件通过各项性能试验考核,均能满足筒盖结构的设计指标要求。筒盖产品力学性能稳定,成型工艺可行性良好,最高瞬时使用温度可达200℃,经历空间环境模拟后力学性能保持率均在80%以上,耐高温、耐空间环境性良好。产品已成功装星发射,并在着陆巡视器落火阶段成功弹出分离,圆满完成使命。     

FY-2C星地面应用分系统指令与数据获取站

介绍了风云二号(FY-2)C星地面应用分系统数据与指令接收站(CDAS)的主要技术指标、工作流程,以及与C星的星地接口与地面应用分系统其他部分的接口.说明了CDAS的天伺馈、信道、图像获取(IAS)、三点测距(TRRR)、数据收集(DCP)、遥测遥控(TT&C)、卫星模拟器、标校、时间统-、低速信息传输(LRIT)信息编码与发送等子系统的组成与功能.阐述了C星CDAS的设计原则,以及用群调技术实现DCP的数据解调、用扩频伪码进行TRRR定位、图像处理、TT&C增加图形化界面控制、正交相移键控(QPSK)解调器抗长连"1"功能等关键技术.在轨测试和试运行期间,C星的CDAS不仅解决暴露的问题,而且进行适应性调整.验收前测试结果表明,其功能及技术指标满足业务运行要求,设备工作正常、性能稳定.     

基于网络架构的箭载图像采集系统设计及硬件实现

图像采集系统负责监控和记录运载器上多个重要点位的视频信息。文中介绍了一种基于网络架构的箭载通用图像采集系统,负责采集高清图像并无损存储在图像压缩器内,将高清图像压缩后经遥测传输至地面,由于带宽有限,可实时切换下传的图像信息,同时支持通过网络实时访问箭上图像信息和事后图像数据回读功能,为评估箭上的工作状态或分析故障提供了保障。     

涡轮动叶部分吸力侧肩壁凹槽状叶顶气热和冷却性能研究

为了获取高性能的燃气涡轮动叶叶顶结构和气膜冷却布局，采用数值求解三维Reynolds-Averaged Navier-Stokes (RANS) 方程和标准 湍流模型的方法研究了涡轮动叶部分吸力侧肩壁的凹槽状叶顶气热和冷却性能。数值模拟得到的动叶平叶顶传热系数与实验数据吻合良好，验证了数值方法的准确性。对比0.95吹风比时动叶凹槽状叶顶沿中弧线和近压力侧布置的2种气膜冷却布局的叶顶泄漏流动形态、传热系数和气膜冷却有效度，指出近压力侧的气膜冷却布局B的总压损失大于沿中弧线的气膜冷却布局A；但近压力侧的气膜冷却布局B具有更好的冷却效果。基于近压力侧气膜冷却布局的凹槽状叶顶结构，通过切除尾缘处不同轴向长度的吸力侧肩壁，设计了5种不同的部分吸力侧肩壁的叶顶结构。结果表明：切除10%吸力侧肩壁的Case 7能有效降低总压损失，平均总压损失系数相比完整肩壁的Case 2降低了6.3%；叶顶净热流密度减少和传热系数分布与Case 2基本相同，尾缘处的冷却效率因冷气受到压制附着于叶顶而提高。     

运载火箭加速度计反馈主动减载实施效果评价

针对运载火箭加速度计反馈主动减载实施效果评价，提出一种基于主动减载姿态动力学稳态分析的评价方法，在传统的“载荷侧滑角”评价指标基础上增加了“姿态偏差”、“摆角需求”和“弹道偏离”评价。稳态分析中考虑了结构干扰的偏置效应以及质心运动对风的抵消效应，重点推导了风切变对于火箭姿态动力学特征参数的影响机理。某型号案例分析结果表明，在典型“平稳风+切变风”风场作用下，主动减载技术在4项评价指标上均取得理想实施效果，并且显著缓解风切变导致的姿态参数快变现象。     

Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications

Motor drives form an essential part of the electric compressors, pumps, braking and actuation systems in the More-Electric Aircraft (MEA). In this paper, the application of Machine Learning (ML) in motor-drive design and optimization process is investigated. The general idea of using ML is to train surrogate models for the optimization. This training process is based on sample data collected from detailed simulation or experiment of motor drives. However, the Surrogate Role (SR) of ML may vary for different applications. This paper first introduces the principles of ML and then proposes two SRs (direct mapping approach and correction approach) of the ML in a motor-drive optimization process. Two different cases are given for the method comparison and validation of ML SRs. The first case is using the sample data from experiments to train the ML surrogate models. For the second case, the joint-simulation data is utilized for a multi-objective motor-drive optimization problem. It is found that both surrogate roles of ML can provide a good mapping model for the cases and in the second case, three feasible design schemes of ML are proposed and validated for the two SRs. Regarding the time consumption in optimizaiton, the proposed ML models can give one motor-drive design point up to 0.044 s while it takes more than 1.5 mins for the used simulation-based models.     

6G service-oriented space-air-ground integrated network: A survey

As an indispensable component of the emerging 6G networks, Space-Air-Ground Integrated Networks (SAGINs) are envisioned to provide ubiquitous network connectivity and services by integrating satellite networks, aerial networks, and terrestrial networks. In 6G SAGINs, a wide variety of network services with the features of diverse requirements, complex mobility, and multi-dimensional resources will pose great challenges to service provisioning, which urges the development of service-oriented SAGINs. In this paper, we conduct a comprehensive review of 6G SAGINs from a new perspective of service-oriented network. First, we present the requirements of service-oriented networks, and then propose a service-oriented SAGINs management architecture. Two categories of critical technologies are presented and discussed, i.e., heterogeneous resource orchestration technologies and the cloud-edge synergy technologies, which facilitate the interoperability of different network segments and cooperatively orchestrate heterogeneous resources across different domains, according to the service features and requirements. In addition, the potential future research directions are also presented and discussed.     

Adaptive cubature Kalman filter with the estimation of correlation between multiplicative noise and additive measurement noise

Mobile robots are often subject to multiplicative noise in the target tracking tasks, where the multiplicative measurement noise is correlated with additive measurement noise. In this paper,first, a correlation multiplicative measurement noise model is established. It is able to more accurately represent the measurement error caused by the distance sensor dependence state. Then, the estimated performance mismatch problem of Cubature Kalman Filter(CKF) under multiplicative noise is analyzed. An i...