单周期控制Boost—PFC基于Saber的设计与仿真

单周期控制策略简单可靠,动态响应速度快,能很好地抑制输入电压扰动和负载突变。本文阐述了单周期控制Boost—PFC的工作原理,对单周期控制Boost—PFC进行了基于Saber软件的CAD设计和仿真。仿真结果表明,单周期控制适用干Boost变换器,能够实现功率因数校正。     

RFID技术在电网资产全寿命周期管理应用模式探讨

为了配合电网企业建立RFID资产实物标识电子身份证系统,集成资产的实物流、信息流和价值流,实现账、卡、物相符一致,实现资产管理各阶段信息共享及开展资产全生命周期的跟踪管理,同时也为了提高电网设备的现代化管理水平,文章总结了多年来在电网设备RFID实物标识实施的切身体会,对RFID在国内外电力电网设备的应用方面进行了研究,重点对RFID技术在电网资产全寿命周期管理模式进行了探讨。     

基于统计阈值的Snort规则集动态产生的设计与实现

Snort作为开源的入侵检测系统,利用定义的静态规则集合实现对网络的入侵事件的检测。本文分析入侵检测系统的基本原理和模型,阐述Snort入侵检测系统部署到网络时,其静态规则集的配置方法,根据统计流量阈值和告警频率阈值动态产生动态规则集的方法,改进并提高了部署Snort应有的灵活性。     

基于DMT的1553B带宽扩展研究

由于传统的MIL-STD-1553B总线难以满足高速数据传输需求且更换现有总线代价过高,因此迫切需要在不影响现有基带通信的条件下升级1553B系统以提供高速通信接口。本文分析1553B的信道特性并据此选择频谱利用率高、抗频率选择性衰落的离散多音调制(DMT)作为扩展带宽的技术,基于离散多音调制,提出一个与现有通信相互兼容的扩展方案以显著提高传输速率,并对该方案涉及的关键技术进行介绍。     

数字证书在环保行业的应用分析

目前国家环保部正在开展的国家环境信息与统计能力建设项目中,采用数字证书为业务系统提供强身份认证服务。详细论述了数字证书在环保部的应用模式,指出了今后的工作方向,同时也指出了现有应用模式的不足之处。     

Robust stability and stabilization of discrete singular systems with interval time-varying delay and linear fractional uncertainty

The robust stability and robust stabilization problems for discrete singular systems with interval time-varying delay and linear fractional uncertainty are discussed. A new delay-dependent criterion is established for the nominal discrete singular delay systems to be regular, causal and stable by employing the linear matrix inequality (LMI) approach. It is shown that the newly proposed criterion can provide less conservative results than some existing ones. Then, with this criterion, the problems of robust stability and robust stabilization for uncertain discrete singular delay systems are solved, and the delay-dependent LMI conditions are obtained. Finally, numerical examples are given to illustrate the e?ectiveness of the proposed approach.     

Handling multiple objectives with biogeography-based optimization

Biogeography-based optimization (BBO) is a new evolutionary optimization method inspired by biogeography. In this paper, BBO is extended to a multi-objective optimization, and a biogeography-based multi-objective optimization (BBMO) is introduced, which uses the cluster attribute of islands to naturally decompose the problem. The proposed algorithm makes use of nondominated sorting approach to improve the convergence ability effciently. It also combines the crowding distance to guarantee the diversity of Pareto optimal solutions. We compare the BBMO with two representative state-of-the-art evolutionary multi-objective optimization methods, non-dominated sorting genetic algorithm-II (NSGA-II) and archive-based micro genetic algorithm (AMGA) in terms of three metrics. Simulation results indicate that in most cases, the proposed BBMO is able to find much better spread of solutions and converge faster to true Pareto optimal fronts than NSGA-II and AMGA do.     

Design of robotic visual servo control based on neural network and genetic algorithm

A new visual servo control scheme for a robotic manipulator is presented in this paper, where a back propagation (BP) neural network is used to make a direct transition from image feature to joint angles without requiring robot kinematics and camera calibration. To speed up the convergence and avoid local minimum of the neural network, this paper uses a genetic algorithm to find the optimal initial weights and thresholds and then uses the BP algorithm to train the neural network according to the data given. The proposed method can effectively combine the good global searching ability of genetic algorithms with the accurate local searching feature of BP neural network. The Simulink model for PUMA560 robot visual servo system based on the improved BP neural network is built with the Robotics Toolbox of Matlab. The simulation results indicate that the proposed method can accelerate convergence of the image errors and provide a simple and effective way of robot control.     

一种新的修正恒模算法

阐述了恒模算法(CMA)、修正恒模算法(MCMA)和判决引导(DD)算法的基本原理。针对CMA和MCMA收敛速度慢,固定步长条件下收敛速度和剩余误差之间存在矛盾的缺陷,在分析CMA误差特性的基础上,利用DD算法误差函数的模值和判决器输出构造新的误差函数,提出了一种新的变步长MCMA。新算法在加快收敛速度的同时保持小的剩余误差。仿真结果表明,新算法比CMA和MCMA收敛速度快,均衡输出剩余码间干扰(ISI)小而且能克服相位偏移,具有很好的实用性。     

表面贴装过程仿真系统的研究与开发

文章从表面贴装技术(SMT)现状及特点开始,介绍多品种小批量电子产品中使用表面贴装技术存在的问题。针对这一情况对表面贴装过程仿真系统的需求进行了分析,并详细论述了仿真系统的文件预处理、仿真以及数据库维护三大主要模块设计,主要介绍采用OpenGL实现仿真模块的方法,同时展示仿真系统实现结果。最后总结了仿真系统的特点。