基于改进的卷积神经网络的步态识别

为了提高惯性传感器采集到的序列数据中步态识别的准确率，建立了一个激励层改进的卷积神经网络(CNN)模型。针对三轴加速度传感器对运动太过敏感导致步态周期划分不准确的问题，采用加速度传感器与弯曲度传感器组合获取人体运动信息。将CNN模型中激励层的线性整流函数（ReLU）改进为带泄露线性整流函数(Leaky ReLU)，以解决遇到卷积输出数据小于0时神经元被抑制的问题，进而达到提高步态识别准确率的目的。实验结果表明：激励层优化的CNN模型在行走、上下楼和上下坡五种步态模式下识别率达到了95.79%，与未采用弯曲度传感器的改进CNN模型和未进行激励层改进的CNN模型相比，步态识别率有所提高。     

An information-volume-based distance measure for decision-making

D-S evidence theory, as a general framework for reasoning with uncertainty, allows combining pieces of evidence from different information sources to derive a degree of belief function that is a type of fuzzy measure. However, the mass assignments given by unknown information sources are disordered. How to measure the difference between the mass assignments has aroused people’s interest. In this paper, inspired by the information volume, a novel distance-based measure is proposed to measure the difference between mass assignments. The method can refine the uncertain information given by experts and compare the refined information to obtain the difference between mass assignments. At the same time, it is verified that the measure not only meets the properties of distance, but also proves the superiority of the proposed Information Volume Distance (IVD) through simulation experiments. Meanwhile, in the process of information fusion, the reliability of each source could be quantified through IVD. Therefore, based on IVD, a new multi-source information algorithm is proposed to solve the problem of multi-source information fusion. Moreover, algorithm is applied to decision-making problem and compare with other methods to verify the effectiveness.     

应力松弛试验中初始坡度对非粘滞阻尼模型参数的影响

文章将非粘滞阻尼模型的松弛函数分为2种形式进行研究讨论:一种是幂指数函数的形式,另一种是指数函数的形式。以应力松弛试验为例,从理论和试验2个角度考虑初始坡度,都可以看出初始坡度对应力变化的影响,从而克服了忽略这一问题带来的误差。     

基于MEMS传感器的四旋翼组合测姿研究

针对四旋翼无人机机体尺寸较小、带载荷能力有限的特点,设计基于低成本MEMS惯性器件的测姿系统,以满足四旋翼无人机在系统控制方面的需求。但是低成本的MEMS惯性器件具有精度低,随机漂移大,容易受到外界环境干扰等缺点。本文充分发挥四旋翼无人机搭载的MEMS惯性器件的功能,分别利用两种方法测量载体姿态,并通过卡尔曼滤波的方法实现这两种测姿方法的数据融合。经过仿真分析,融合后组合测姿系统的测姿精度得到提高。     

高空试车台供气压缩机组动态仿真建模方法研究

针对国内高空试车台研究中缺少对供气压缩机组动态仿真研究方法的现状，提出了一种适用于该热力系统的动态仿真建模方法。基于守恒方程，获得了压缩机、管网、换热器、调节阀的动态仿真计算模型；将Greitzer压缩机模型应用到复杂热力系统的动态建模中；在容腔模型的基础上增加流动损失计算模块，提出了“容腔-损失”管网模型。在Matlab/Simulink平台上搭建了某试车台供气压缩机组动态仿真模型。将仿真结果与实验结果对比，验证压缩机、管网等部件动态仿真模型的可靠性。其中，压力、温度的仿真结果的平均误差均小于1%；与传统的容腔模型相比，“容腔-损失”管网模型误差明显减小。证明了该建模方法的精确度与可靠性。     

基于TestBed 和Visual Studio 对QT 程序单元 测试的研究与实现

针对测试工具TestBed 无法动态执行QT 程序单元测试用例的问题，文章通过介绍单元测试定义、测 试原理以及TestBed 工具的使用原理、并指出了TestBed 工具对QT 程序进行单元测试存在的问题，最终提出 了一种结合TestBed 和Visual Studio 对QT 程序进行单元测试的方法，并给出了方法的详细设计与实现步骤， 为QT 程序动态执行单元测试提供一种简单、便捷的实现方式。实际结果表明，结合TestBed 与Visual Studio 对QT 程序的单元测试方法显著提高了单元测试的效率，减少了单元测试的成本。     

Quick identification of guidance law for an incoming missile using multiple-model mechanism

A guidance law parameter identification model based on Gated Recurrent Unit (GRU) neural network is established. The scenario of the model is that an incoming missile (called missile) attacks a target aircraft (called aircraft) using Proportional Navigation (PN) guidance law. The parameter identification is viewed as a regression problem in this paper rather than a classification problem, which means the assumption that the parameter is in a finite set of possible results is discarded. To increase the training speed of the neural network and obtain the nonlinear mapping relationship between kinematic information and the guidance law parameter of the incoming missile, an output processing method called Multiple-Model Mechanism (MMM) is proposed. Compared with a conventional GRU neural network, the model established in this paper can deal with data of any length through an encoding layer in front of the input layer. The effectiveness of the proposed Multiple-Model Mechanism and the performance of the guidance law parameter identification model are demonstrated using numerical simulation.     

光谱01卫星脉冲等离子推力器电源处理单元的开发

针对光谱01卫星应用需求，提出了脉冲等离子推力器电源处理单元的设计方案，给出了验证结果。采用反激变换拓扑和恒功率方式实现了以2.5Hz的频率将5.76μF的储能电容器充电至1600V，将0.68μF的火花塞点火电容充电至800V；采用超快恢复高压整流管、高压绕组串联、高压整流管串联和开关频率设计解决了反激变换器整流二极管反向恢复引起的功率反向传输问题；采用输出钳位二极管和限流电阻解决了储能电容振荡负电压反向一次母线充电的问题。PPT的地面寿命试验和在轨测试结果表明，所设计的电源处理单元方案合理可行。     

某船载无人操控天线末段跟踪的数引策略改进

从无人操控天线需要依赖数引完成目标自动捕获以及现有的主动段航天测量的数引模型精度不够的背景出发,指出提高数引精度即进行数引改进的必要性。然后结合末段跟踪的特殊性,从时差、视差和延时累积误差三个影响数引精度的最主要方面详细分析了它们的形成机理,并给出了各自的改进方法。