平流层无人飞艇能源系统CAN总线拓扑研究

针对平流层无人飞艇能源系统的CAN总线通讯架构，对常用的几种传统CAN总线连接拓扑进行可靠性分析、对比，得出这几种拓扑连接网络的优劣势，结合当前发展，提出一种双裕度CAN总线可靠性模型，并在此模型基础上，对平流层CAN总线单线式和级连式两种电缆拓扑结构进行对比分析，对于设计平流层无人飞艇能源系统CAN总线通讯架构形式具有重要的指导意义。     

矿用多回路电磁启动器温度数据传输系统设计

为了提高矿用多回路电磁启动器温度数据传输的可靠性,提出一种基于CAN总线的多回路温度数据传输技术。在分析DSP集成CAN模块基础上,对数据传输系统整体结构进行设计,数据传输主要包括温度信息反馈单元、监测分站、CAN通讯接口、CAN物理总线、上位机与CAN物理总线和上位机接口等。重点设计监测分站与CAN总线接口及CAN物理总线与上位机接口,并设计CAN通讯软件数据发送软件流程,实现了多回路的分散采集、集中管理、远程监控与存储。     

光纤CAN-USB接口设计与实现

组建了一种新型星形光纤CAN总线网络。采用塑料光纤(POF)作为传输介质。为存储、处理、调整和优化CAN网络中各参量,设计了光纤CAN总线转USB接口,结合便携式PC机,建立了基于光纤CAN网络的实时数据记录系统。本文重点介绍了光纤CAN总线转USB接口的硬件设计,并详细给出了该接口的驱动程序。     

一种CAN总线终端电阻匹配系统的设计

提出了一种CAN总线终端电阻匹配系统设计方案,硬件电路主要由STM32微控制器、数字电位器MCP41010和CAN总线收发器MCP2551构成.在此基础上,设计了该系统的主副节点软件通信流程.测试结果表明,该系统软硬件设计合理,工作可靠稳定.系统能够方便工作人员测出CAN总线的较佳终端电阻阻值,具有操作方便、快捷,省时省力等特点.     

基于CAN总线的分布式智能温度采集系统设计

针对工业现场及物资储存等环境的温度实时监控,设计了一种基于CAN总线的分布式温度检测系统。采用微控制器PIC16F877、CAN总线控制器MCP2515、温度传感器DS18B20、CAN收发器82C250作为现场温度采集的智能节点,通过CAN总线网络和CAN总线适配卡PCI-9810实现上位PC机与现场节点的数据通信。设计了各部分的硬件电路及检测系统软件。系统结构简洁、扩容方便、可靠性高,具有一定的工程实用价值。     

基于STM32的USB型CAN总线调试器的设计

针对传统CAN总线调试工具的缺点,给出了一种新型CAN总线调试工具的设计方法。系统以ARM Cortex-M3内核的STM32f107RBT6为控制器核心,完成CAN总线和USB总线的桥接。用户采用上位机通过USB接口与控制器进行通信,完成CAN总线上数据的收发。系统给调试设备的工程技术人员提供了一种新的途径。     

基于CAN总线的开关柜参数监测系统

本文介绍了一种新型的现场总线－CAN总线,说明了其特点。基于该总线设计了开关柜参数监测系统,包括了软、硬件的设计。     

双冗余CAN总线及其可靠性研究

为了保证配电系统的通讯可靠性,本文基于CAN总线的相关理论和技术特点,提出了一种双冗余容错的CAN网络设计理念,采用双模冗余结构同时运行的设计方案,对总线控制器、驱动器、传输介质进行了全面冗余。基于硬件冗余技术,本文设计了双冗余CAN总线,对通信链路采取双冗余热备份。并对双冗余CAN网络拓扑结构进行了可靠性分析。最后,通过试验验证了冗余总线设计方案的可行性和可靠性。     

基于CAN总线的增强型监控系统

针对国内电影洗片监控系统通信速率低、数据误码率偏高等缺点,提出了一种基于CAN总线的增强型监控系统设计方案.在传统的CAN总线监控系统基础上,合理搭建CAN总线通信网络硬件接口电路、自定义CAN通信应用层协议,提高了CAN总线通信速率和运行效率,同时运用数据校验和原理,设计基于LabVIEW的数据安全校验软件,实现了对传输数据的安全加密与解码,有效解决了通信干扰问题,大大增强了电影洗片监控系统的实时性、安全性和可靠性.运行结果表明:系统运行稳定、实时性好、抗干扰能力强.     

基于CAN总线和以太网的轻轨列车远程监控系统

提出了一种基于CAN(Controller Area Network)总线和工业以太网的轻轨列车微机控制系统的远程监控系统.介绍了基于高性能数字信号处理器TMS320C2812的CAN总线和工业以太网的硬件接口电路,讨论了CAN/Ethernet网关模型,以及CAN现场总线和工业以太网的现场网关设计,并应用LabVIEW完成了上层监控界面的设计,实现了微机控制系统中底层控制单元与远程控制中心的实时监控和数据传输.     

Single large roller mill feeds today's jumbo cement plants

The use of a single roller mill to supply kiln feed has always been the most economical approach to new cement plant construction. However, the ability to design and build mills large enough to supply today's 7500+ tons per day cement kilns has sometimes been questioned. The successful start up and operation of the 5.9-m roller mill at P.T. Semen Gresik's Tuban plant, Indonesia, has proven that reliable mills can be built for this application. Years of experience, together with modern computer-aided design techniques, has been the key to opening up the future for large roller mills. Here, the design capabilities needed to successfully produce large mills, as well as the operational features of modern roller mills, are discussed     

高温多层推板电窑的开发研制

针对传统推板窑的不足设计了高温多层推板电窑，着重介绍了高温多层新结构，耐火材料，推进机构，控温系统的确定过程，应用结果表明,这种多层推板电窑具有烧结后产品尺寸和性能一致性好，成品率高，运行成本低等特点。     

基于Profibus-DP的回转窑控制应用

介绍了基于Profibus的回转窑控制系统组成和组态方法,利用ASIC芯片SPC3和单片机AT89S52设计了DP总线的接口电路和回转窑主电动机驱动控制系统,给出了基于DP总线系统软、硬件的实现.实验结果表明,与传统控制系统相比,该控制系统通信更可靠、便捷.     

复杂工业过程的模糊神经网络自适应控制

本文针对复杂工业过程控制系统的特点 ,提出一种模糊神经网络自适应控制系统 ,该系统由两个模糊神经网络组成 ,一个完成Fuzzy学习控制 ,另一个完成未知被控对象模型的建模。仿真和复杂工业回转窑炉温控实验结果表明 ,控制系统有良好的性能     

Grate cooler performance optimization at Eiberg Zement

The grate cooler at Eiberg Zement in Austria provides an example of how older grate coolers can be modernized and upgraded to meet the requirements of todays modern clinker cooling systems. The progressive modifications of the cooler system are described. The installation of the Muldengrate system, a hydraulic drive for the cooler grate and the riddlings drag chain, and the installation of a roller crusher have led to a considerable increase in the system operating reliability. The essential improvements, especially reduction of kiln heat consumption, are shown by the operating results     

专家模糊神经网络控制系统在复杂工业过程中的应用

针对复杂工业过程控制系统的特点,提出一种专家系统和模糊神经网络相结合的二级协调智能控制系统。该系统的执行控制级由模糊神经控制器完成,协调级由专家系统完成。经仿真和复杂过程回转窑温控实验表明,控制系统具有良好的性能。     

窑尾小车电气传动不稳定性分析及其改造

莱钢集团矿山建设有限公司60万t球团厂的窑尾小车电气传动系统采用电磁抱闸进行机械制动,摩擦片磨损快,停车时,窑尾小车时常出现振动和打滑等不稳定问题。文章分析了窑尾小车电气传动系统不稳定的原因,采用变频调速的直流制动功能新方法,选用施耐德电气公司的ATV71系列变频器,构建了新的电气传动系统,有效地克服了摩擦片磨损和电磁...     

基于单片机的步进电机控制系统

根据滚子研磨机的工艺要求,开发了该设备的步进电机控制系统。分析了步进电机起动、停止时的加减速曲线特性;采用STC89C52单片机,以S加减速曲线为基础,实现了步进电机的加减速控制和换向控制;实现了步进电机转速的LCD显示、加工时间的数码管动态显示。研究结果完全满足滚子研磨机的加工需求,并对采用单片机开发步进电机控制系统提供了一定的借鉴。     

Automatic Kiln Control at Oregon Portland Cement Company's Durkee Plant Utilizing Fuzzy Logic

The basis and experience in automating the control of a 1500- ton/day four-stage preheater cement kiln is described. The control substitutes the coordinative control actions formerly carried out by the kiln operators by utilzing a minicomputer to implement fuzzy logic control strategies. Operating decisions are made more consistent and quantitative and less subjective to human operator control philosophy variations. By making mathematical approximations of the relationship between changes in process variables through linear regression analysis and then by implementing verbally formulated control rules for corrective action, kiln fluctuations are reduced and more stable operation is achieved. The control is based upon a direct correlation between the nitric oxides measured in the kiln exit gases and the liter weight of the clinker in the burning zone. A consistent liter weight is the aim; however, a secondary control program assures the correct temperature/excess air after the preheater tower. Kiln speed and kiln feed are kept constant, and control actions are taken on the kiln draft by speed adjustments of the induced draft (ID) fan and fuel adjustments of a direct-fired coal mill by coal feeder adjustments into the mill. The system was installed durig March and April 1982, and the experience gained through the commissioning period and the first six months of operation is discussed. It appears that with the limited experience to date, a savings of about three to four percent in fuel efficiency is achieved. In addition, indications are that brick savings are substantial, as high as 50 percent.     

Experimental modelling and intelligent control of a wood‐drying kiln

Proper control of the wood‐drying kiln is crucial in ensuring satisfactory quality of dried wood and in minimizing drying time. This paper presents the development, implementation, and evaluation of a control system for a lumber drying kiln process incorporating sensory feedback from in‐wood moisture content sensors and intelligent control such that the moisture content of lumber will reach and stabilize at the desired set point without operator interference. The drying process is difficult to model and control due to complex dynamic nonlinearities, coupling effects among key variables, and process disturbances caused by the variation of lumber sizes, species, and environmental factors. Through system identification scheme using experimental data and recursive least‐squares algorithm for parameter estimation, appropriate models are developed for simulation purpose and controller design. Two different control methodologies are employed and compared: a conventional proportional‐integral‐derivative (PID) controller and a direct fuzzy logic controller (FLC), and system performance is evaluated through simulations. The developed control system is then implemented in a downscaled industrial kiln located at the Innovation Centre of National Research Council (NRC) of Canada. This experimental set‐up is equipped with a variety of sensors, including thermocouples for temperature feedback, an air velocity transmitter for measuring airflow speed in the plenum, relative humidity sensors for measuring the relative humidity inside the kiln, and in‐wood moisture content sensors for measuring the moisture content of the wood pieces. For comparison, extensive experimental studies are carried out on‐line using the two controllers, and the results are evaluated to tune the controller parameters to achieve good performance in the wood‐drying kiln. The combination of conventional control with the intelligent control promises improved performance. The control system developed in this study may be applied in industrial wood‐drying kilns, with a clear potential for improved quality and increased speed of drying. Copyright © 2001 John Wiley & Sons, Ltd.