一种移动卫星网络最小费用切换算法(英文)

For mobile satellite networks, an appropriate handover scheme should be devised to shorten handover delay with optimized application of network resources. By introducing the handover cost model of service, this article proposes a rerouting triggering scheme for path optimization after handover and a new minimum cost handover algorithm for mobile satellite networks. This algorithm ensures the quality of service （QoS） parameters, such as delay, during the handover and minimizes the handover costs. Simulation indicates that this algorithm is superior to other current algorithms in guaranteeing the QoS and decreasing handover costs.     

航天器局部系统动力特性的频率匹配设计

对航天器结构进行频率匹配设计,是降低耦合响应,控制其在发射阶段动力响应水平的有效方法,文章进行了局部系统动力特性的频率匹配技术研究。用基于响应谱分析的频率匹配技术优化配置局部系统的固有频率,使其与整星动力学特性和动态激励特性更加匹配,并结合结构动力特性优化使局部系统频率满足设计值。通过工程实例,验证了该方法用于控制航天器动力响应的有效性,优化后设备加速度响应幅值相对于优化前降低了20％～40％。     

可转位高速铣刀刀体加工的工艺优化

系统的研究了可转位高速铣刀刀体容屑槽与刀片槽加工工艺方案。设计了确保加工精度的工装夹具,优选出了最佳的使用刀具材料,优化了刀具加工路径及误差控制策略。     

无人机编队支撑网络的协同通信中继策略

针对无人机编队支撑网络优化选择中继成员进而提高编队协同通信能力问题，基于端到端技术（Device-to-Device，D2D），提出了一种同时考虑无人机编队成员的邻近域及编队成员间的社会性依存关系来优化选择中继成员的中继策略，旨在既能保证无人机编队的基本通信能力，又能同时优化提高编队的吞吐量，从而进一步提升编队支撑网络的整体性能。研究结果表明，所提的无人机编队支撑网络中继成员优化选择策略在系统吞吐量方面较已有方法具有明显优势。     

微半球陀螺测控电路国内外现状与关键技术

微半球陀螺相比于传统的机械陀螺具有更小的尺寸，因此其对温度、湿度、磁场等外界环境的变化更为敏感。为了保证陀螺具有较好的工作表现，需要使外部驱动信号的频率严格锁定于工作模态的中心频率上，且陀螺输出信号幅值恒定。与此同时，由于微半球陀螺信号为微弱信号，故而需要采用微弱信号采集技术及反馈技术对其进行处理，并且通过解调控制算法得到输出信号。阐述了微半球陀螺基本测控电路的国内外发展现状，并从Sigma-delta、模态匹配、正交补偿、温度补偿等角度分析了微半球陀螺测控电路的关键技术。     

Unmanned aerial vehicle swarm mission reliability modeling and evaluation method oriented to systematic and networked mission

With the development of Unmanned Aerial Vehicle (UAV) system autonomy, network communication technology and group intelligence theory, mission execution in the form of a UAV swarm will be an important realization of future applications. Traditional single-UAV mission reliability modeling methods have been unable to meet the requirements of UAV swarm mission reliability modeling. Therefore, the UAV swarm mission reliability modeling and evaluation method is proposed. First, aimed at the interdependence among the multiple layers, a multi-layer network model of a UAV swarm is established. At the same time, based on the system having the following characteristics—using a mission chain to complete the mission and applying the connectivity of the mission network—the mission network model of a UAV swarm is established. Second, vulnerability and connectivity are selected as two indicators to reflect the reliability of the mission, and aimed at random attack and deliberate attack, vulnerability and connectivity evaluation methods are proposed. Finally, the validity and accuracy of the constructed model are verified through simulations, and the model and selected indicators can meet the reliability requirements of the UAV swarm mission. In this way, this study provides quantitative reference for UAV-swarm-related decision-making work and supports the development of UAV-swarm-related work.     

Network analysis of Chinese air transport delay propagation

The Chinese air transport system has witnessed an important evolution in the last dec-ade, with a strong increase in the number of flights operated and a consequent reduction of their punctuality. In this contribution, we propose modelling the process of delay propagation by using complex networks, in which nodes are associated to airports, and links between pairs of them are assigned when a delay propagation is detected. Delay time series are analysed through the well-known Granger Causality, which allows detecting if one time series is causing the dynamics observed in a second one. Results indicate that delays are mostly propagated from small and regio-nal airports, and through flights operated by turbo-prop aircraft. These insights can be used to design strategies for delay propagation dampening, as for instance by including small airports into the system's Collaborative Decision Making.     

基于神经网络的仿真转台控制系统

在转台存在偏载、摩擦等不确定负载干扰的情况下,用神经网络与PID(Proportional-Integral-Differential)控制相结合的方法,设计了适应负载变化的转台控制系统.分析了基于BP(Back Propagation)神经网络的自适应PID控制器的基本原理,建立了转台位置控制系统的数学模型,并对控制系统进行仿真分析和实验验证,通过与传统PID控制的对比实验与仿真表明:所设计系统由于有自学习能力,能动态调整PID参数,使系统表现出良好的抗干扰能力和跟踪性能,证明了所设计系统的有效性.该算法结构简单,PID初始参数调整方便,易于在转台实时控制系统中应用.     

分数阶Hopfield型神经网络的全局渐近稳定性

研究了分数阶Hopfield型神经网络的全局渐近稳定性,通过LMI方法得到了一种实现系统全局渐近稳定性的LMI形式条件,通过实例仿真验证了结论的正确性。     

飞行模拟器操纵负荷系统的无源性设计

 操纵负荷系统是飞行员与飞行模拟器之间的接口装置。提出了这种人在回路的实时控制系统的一种新的设计思想,这种设计将无源性与阻抗的概念结合,并将系统阻抗的频率特性作为定量设计的手段。基于频率分析,控制器设计中应增加一个阻尼项,使传递到操作员手上的阻抗与飞行环境的阻抗相匹配。并指出,系统中的力伺服系统的阻尼比应在0.5~0.8范围内以满足这个虚拟环境的无源性要求。操纵负荷系统的无源性可保证整个仿真系统的稳定性。所提出的设计思想还可推广应用于其他各种虚拟环境的设计。