RS-232、RS-485/USB转换器的最简设计

由于USB总线的诸多优点,以传统的RS-232接口为数据通信通道的外部设备正越来越多地朝着采用USB总线的方向发展,设计一种内置式或外挂式的双向RS-232/USB转换器很有必要。本文重点介绍一种以专用芯片FT8U232AM为转换控制器的最为简洁的RS-232/USB转换器设计方案。     

通用型舰载支援飞机的模块化布局设计概念

简要介绍了模块和模块化的基本概念，依据模块化设计的基本思想和步骤对通用支援飞机进行了系统分解和模块划分，详细地描述了通用型舰载支援飞机从系统分解、通用要素提取、非典型要素处理到模块组合的设计思路，从总体角度设计了一种模块化布局的通用型舰载支援飞机，并建立起三维模型。     

基于神经网络的精确末制导律研究

针对动能杀伤武器重量极小化问题，基于神经网络技术、动态逆补偿法和非线性优化法，研究了两种精确末制导律，一种采用FFBP神经网络学习一要制导方程动态逆实现精神制导，另一种采用FFBP神经网络学习非线性优化解实现精确制导，仿真分析表明，前者对目标加速度估计误差过于敏感，无法实现；而后者在目标加速度有误差时仍能实现精确制导，估于偏置比例导引，并可以使动能杀伤武器重量极小化。     

机载电子设备地面仿真检测系统

 本文讨论机载电子系统地面仿真检测系统的系统功能,硬件软件结构,给出一个实际的仿真检测系统,它由11台不同类型微机通过8端光纤通信网络连成一个分布式仿真测试网,能够模拟雷达运动目标信号,导航计算机、大气数据计算机、导弹控制计算机信息,能够进行实时数据处理、绘制目标运动曲线,打印测试参数报表等。     

电磁式头盔瞄准具指向解算的一种新方法

 <正> 1.引言 电磁感应式头盔瞄准具是近年来发展起来的既适用于飞机又适用于地面火控瞄准的一种新型瞄准装置,其关键部分为电磁敏感系统,主要依靠两个三轴天线的空间场量与空间位置关系来获得瞄准方向。两个三轴天线均由3个相互正交的环天线组成,一个称为辐射器,一个称为敏感器,以辐射器的三轴为基准(固定于飞机),以敏感器的一轴为瞄准方向(装于头盔),两者的空间位置变化关系可由图1中两坐标系来表示,并与辐射器发射量和敏感器接收量有以下关系式     

机械手的神经网络自适应滑动模控制器设计

 针对多关节机械手的鲁棒跟随控制器设计问题，提出了一种新的机械手神经网络自适应滑动模控制器设计方法，机械手的动力学非线性假设是完全未知的。在提出的控制结构中，高斯径向基函数神经网络用于在线补偿机械手的动力学非线性，参数学习律由稳定性理论得到。给出了系统稳定性和参数收敛性的证明。最后提出方法的可行性通过仿真得到验证。     

Forecasting of DST variations from polar cap indices using neural networks

The 15-min averaged polar cap (PC) index was used as an input parameter for the Dst variation forecasting. The PC index is known to describe well the principal features of the solar wind as well as the total energy input to the magnetosphere. This allowed us to design a neural network able to forecast the Dst variations from 1 to 4 h ahead. 1998 PC and Dst data sets were used for training and testing and 1997 data sets was used for validation proposes. From the 15 moderate and strong geomagnetic storms observed during 1997, nine were successfully forecasted. In three cases the observed minimum Dst value was less than the predicted one, and only in three cases the neural network was not able to reproduce the features of the geomagnetic storm.     

异质网上互操作—从数据交换到程序交换

对分布式计算和软件集成中的互操作性问题进行了讨论，叙述了遵循特定的标准解决互操作性的办法，比较几种常见的互操作标准，包括ＳＴＥＰ／ＳＤＡＩ，ＣＯＲＢＡ和Ｊａｖａ，描述了Ｊａｖａ语言出现后程序交换的新特点，并对互操作标准的现状作了评述。     

Regression model for civil aero-engine gas path parameter deviation based on deep domain-adaptation with Res-BP neural network

The variations in gas path parameter deviations can fully reflect the healthy state of aero-engine gas path components and units; therefore, airlines usually take them as key parameters for monitoring the aero-engine gas path performance state and conducting fault diagnosis. In the past, the airlines could not obtain deviations autonomously. At present, a data-driven method based on an aero-engine dataset with a large sample size can be utilized to obtain the deviations. However, it is still difficult to utilize aero-engine datasets with small sample sizes to establish regression models for deviations based on deep neural networks. To obtain monitoring autonomy of each aero-engine model, it is crucial to transfer and reuse the relevant knowledge of deviation modelling learned from different aero-engine models. This paper adopts the Residual-Back Propagation Neural Network (Res-BPNN) to deeply extract high-level features and stacks multi-layer Multi-Kernel Maximum Mean Discrepancy (MK-MMD) adaptation layers to map the extracted high-level features to the Reproduce Kernel Hilbert Space (RKHS) for discrepancy measurement. To further reduce the distribution discrepancy of each aero-engine model, the method of maximizing domain-confusion loss based on an adversarial mechanism is introduced to make the features learned from different domains as close as possible, and then the learned features can be confused. Through the above methods, domain-invariant features can be extracted, and the optimal adaptation effect can be achieved. Finally, the effectiveness of the proposed method is verified by using cruise data from different civil aero-engine models and compared with other transfer learning algorithms.     

先进航空信息处理机介绍

介绍了航电综合化发展阶段及当前阶段的主要任务,以F-22CIP为蓝本分析了航空综合信息处理机的硬件、软件结构和组成,以及处理机数据通信机理。