LTPB多站点联网测试软件设计

作为现役飞机最为先进航电技术的代表，高速数据总线在设计上的复杂性是显而易见的。如何对其性能进行全面考察是一个非常重要的问题。本文所论述的联网测试软件提供了一个有效的方法，实现了对LTPB联网性能的测试与演示。一方面证明了软件本身设计的合理笥，同时也进一步证明了整个LTPB设计与实施的正确性。     

浅谈数控网络化

把数控技术的应用引入网络技术 ,将对加强生产管理、提高数控机床的生产率、实现远程监控与诊断、进行远程培训和技术支持等均有重要的意义。文章介绍了网络化数控系统的构成和数控网络化的优点。     

带BP神经网络的卡尔曼滤波算法在GPS/SINS组合导航系统中的应用

针对带权值调整的Kalman滤波器,运用L-M的BP算法,将BP神经网络嵌入该滤波器中,与BP神经网络滤波器相比,减小了层数,提高了网络训练速度及精度。以GPS/SINS组合导航系统为例进行了仿真,结果既能抑制滤波发散,又能提高滤波精度。     

基于BP神经网络的零件成组技术的研究

提出了一种基于BP神经网络的零件分类方法。通过200个典型零件样本对神经网络进行训练和测试,证明该基于BP神经网络的零件分类成组系统可实现零件的准确分类成组。     

基于光纤复用技术的弹体表面场参数组网测量技术

针对传统导弹武器环境参数测量系统测点多且分散，以及量程余量大所导致的电缆网笨重等问题，提出了一种基于光纤复用技术的波分复用（Wavelength Division Multiplexing, WMD）与空分复用（Space Division Multiplexing, SDM）相结合的弹体表面场参数组网测量方案；该系统能够有效地实现弹体表面温度、压力、应变等多环境参数同时测量，测量节点可多达320路；分析了大容量光纤传感网络中所面临的关键技术，并阐述了其在导弹上的工程应用分析；为有效满足弹体小型化、轻型化、高灵敏度及减少弹体体积重量提供了新的思路及解决途径。     

UMR: A utility-maximizing routing algorithm for delay-sensitive service in LEO satellite networks

This paper develops a routing algorithm for delay-sensitive packet transmission in a low earth orbit multi-hop satellite network consists of micro-satellites. The micro-satellite low earth orbit(MS-LEO) network endures unstable link connection and frequent link congestion due to the uneven user distribution and the link capacity variations. The proposed routing algorithm,referred to as the utility maximizing routing(UMR) algorithm, improve the network utility of the MS-LEO network for carrying flows with strict end-to-end delay bound requirement. In UMR, first, a link state parameter is defined to capture the link reliability on continuing to keep the end-to-end delay into constraint; then, on the basis of this parameter, a routing metric is formulated and a routing scheme is designed for balancing the reliability in delay bound guarantee among paths and building a path maximizing the network utility expectation. While the UMR algorithm has many advantages, it may result in a higher blocking rate of new calls. This phenomenon is discussed and a weight factor is introduced into UMR to provide a flexible performance option for network operator. A set of simulations are conducted to verify the good performance of UMR, in terms of balancing the traffic distribution on inter-satellite links, reducing the flow interruption rate,and improving the network utility.     

BTT导弹神经网络直接逆控制算法的FPGA实现研究

针对BTT导弹控制系统中导弹模型的非线性和强耦合的特点,应用逆7系统和神经网络相结合的方法建立了导弹的逆模型.并以俯仰通道为例,设计了逆控制算法的BP神经网络结构,采用Verilog HDL编写了BP神经网络各个功能模块,并将其在FPGA上实现.通过神经网络逆控制算法在FPGA硬件实现和通用计算机上软件实现的对比,表明...     

基于多层感知器神经元的空间柔性机器人位置跟踪控制

针对基体位置及姿态均不受控的自由漂浮柔性空间机器人轨迹跟踪问题,提出了一种前馈多层感知器(MLP)神经网络控制策略.建立了末端柔性的自由漂浮基机器人的耦合动力学模型,再利用MLP神经网络良好的逼近能力来自适应补偿非线性柔性臂的逆动力学模型,其误差代价函数由PID控制器提供,权重及阀值的调整采用改进的BP反传算法.最后通过仿真比较详细分析了所提方案的工作机理及对非线性强耦合系统控制的有效性.     

Double-stage Metamodel and Its Application in Aerodynamic Design Optimization

Constructing metamodel with global high-fidelity in design space is significant in engineering design. In this paper, a double-stage metamodel (DSM) which integrates advantages of both interpolation metamodel and regression metamodel is constructed. It takes regression model as the first stage to fit overall distribution of the original model, and then interpolation model of regression model approximation error is used as the second stage to improve accuracy. Under the same conditions and with the same samples, DSM expresses higher fidelity and represents physical characteristics of original model better. Besides, in order to validate DSM characteristics, three examples including Ackley function, airfoil aerodynamic analysis and wing aerody-namic analysis are investigated. In the end, airfoil and wing aerodynamic design optimizations using genetic algorithm are presented to verify the engineering applicability of DSM.     

自适应双平面信息无缝传输实现方法研究

航天测控事业的发展对测控网信息传输的要求越来越高。为保证信息的可靠传输,在通信传输上采用了独立双路由的双平面设计。本文在分析传统测控信息传输模型优缺点的基础上,提出了双平面通信方式下信息传输的改进模型,通过信息选用策略,实现了信息的自适应无缝传输,并进行了仿真测试验证。