|本期目录/Table of Contents|

[1]陈宏希,邹益民.基于OPC的MATLAB与S7-200 PLC实时通信在过程控制实验装置中应用[J].工业仪表与自动化装置,2015,(05):55.
 CHEN Hongxi,ZOU Yimin.Research on application of real-time communication of MATLAB with S7-200 PLC in process control experimental device based on OPC[J].Industrial Instrumentation & Automation,2015,(05):55.
点击复制

基于OPC的MATLAB与S7-200 PLC实时通信在过程控制实验装置中应用(PDF)

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2015年05期
页码:
55
栏目:
出版日期:
2015-10-15

文章信息/Info

Title:
Research on application of real-time communication of MATLAB with S7-200 PLC in process control experimental device based on OPC
文章编号:
1000-0682(2015)05-0000-00
作者:
陈宏希1邹益民2
(1.兰州石化职业技术学院 电子电气工程系,兰州730060;2.南京铁道职业技术学院 通信信号学院,南京210031)
Author(s):
CHEN Hongxi1 ZOU Yimin2
(1.Department of Electric & Electronic Engineering, Lanzhou Petrochemical College of Vocational Technology, Lanzhou 730060,China; 2.School of Railway Signalling & Communication, Nanjing Institute of Railway Technology, Nanjing 210031,China)
关键词:
OPCMATLABS7-200过程控制实验装置神经网络PID控制
Keywords:
OPC MATLAB S7-200 Process control Experimental device Neutral network PID control
分类号:
TP273
DOI:
-
文献标志码:
A
摘要:
实验教学是现代教育教学活动必不可少关键环节。文中给出基于OPC技术的MATLAB与S7-200PLC实时通信机制在A3000型过程控制实验装置中的应用方案。采用S7-200作为OPC服务器,MATLAB作为OPC客户端,由MATLAB实现单神经元PID控制。单神经元PID控制具有自学习和自适应能力,在一定程度上解决了传统PID调节器不易在线实时整定参数的不足,提高了控制器对系统和环境变化的适应能力。该方案使MATLAB仿真不再只局限于传统的离线计算和纯数字的仿真,而易于在实际系统上实现先进算法。
Abstract:
Experimental teaching is essential key to modern education activities. In this paper, the application plan of real-time communication of MATLAB with S7-200 PLC based on OPC technology in A3000 process control experiment device was proposed. The single neuron PID control scheme was realized by MATLAB using S7-200 PLC as OPC server and MATLAB as OPC client. The single neuron PID control had the capacity of self-learning and adaptive, thus to a certain extent, solved the difficult of traditional PID controller tuning parameters in real time and improved the adaptability of the system to environmental changes. This program made MATLAB simulation was no longer confined to traditional offline computing and pure digital simulation, and easy to implement advanced algorithms in real systems.

参考文献/References:

[1] 王娟,钟秦,董旭.A3000系统在化工自动化及仪表实验中的应用[J].实验室研究与探索,2006,25(9):1079-1080,1164.

[2] 邹益民,马应魁.Delta V DCS在过程控制实验装置中的应用[J].电气自动化,2010,33(4):22-24,38.
[3] 王庆.基于OPC技术的温度预测控制研究[D].北方工业大学,2007.
[4] 邹益民,联合站原油脱水过程单神经元PID控制研究[J]. 自动化与仪器仪表,2013,(3):5-7,9.
[5] 高锐,姜波. 基于USS协议的WinCC与S7-200变频器网络通信研究[J].工业控制计算机,2009(5):
[6] 李申伟,徐淑华,张卫,等.基于WinCC及S7-200 PLC的自动升旗控制系统[J].青岛大学学报:工程技术版,2010(2):
[7] 郑连钢,徐田龙.基于OPC技术的iFIX与S7-200PLC的通信实现[J].自动化技术与应用,2013(5):
[8] 韩力群.人工神经网络理论、设计及应用[M].北京:化学 工业出版社.2002. 17- 32.
[9] 徐丽娜.神经网络控制[M].北京:电子工业出版社, 2003:115- 165.

相似文献/References:

[1]常国祥,金 琴,宋红超,等.基于Matlab的三电平SVPWM逆变器的仿真实现[J].工业仪表与自动化装置,2015,(02):42.
 CHANG Guoxiang,JIN Qin,SONG Hongchao,et al.Simulation of three-level SVPWM inverter based on MATLAB[J].Industrial Instrumentation & Automation,2015,(05):42.
[2]谢绍冬,?冯清秀?,曾淑华.基于MATLAB的提高测量仪器精度方法研究[J].工业仪表与自动化装置,2015,(02):123.
 XIE Shaodong,FENG Qingxiu,ZENG Shuhua.Research on improving accuracy method of measuring instruments based on MATLAB[J].Industrial Instrumentation & Automation,2015,(05):123.
[3]崔 乐,石军昌,张晓华,等.实时数据库在工业企业中的应用[J].工业仪表与自动化装置,2015,(04):73.
 CUI LE,SHI Junchang,ZHANG Xiaohua,et al.The application of RTDB in industry[J].Industrial Instrumentation & Automation,2015,(05):73.
[4]刘春雅,吴君线.电力电子器件仿真模型设计及测试研究[J].工业仪表与自动化装置,2015,(05):65.
 LIU Chunya,WU Junxian.The research of simulation model and test for the power electronic device[J].Industrial Instrumentation & Automation,2015,(05):65.
[5]王银锁,李海霞.基于MATLAB的PID控制器设计及应用[J].工业仪表与自动化装置,2016,(01):27.
 WANG Yinsuo,LI Haixia.A PID controller design and its industrial application based on MATLAB[J].Industrial Instrumentation & Automation,2016,(05):27.
[6]戚 磊,陈 赵,韩 喆,等.S7-1200以太网通信的真空造浪测控系统设计与实现[J].工业仪表与自动化装置,2016,(03):31.
 QI Lei,CHEN Zhao,HAN Zhe,et al.Design and Realization of the Measuring and Controlling System of Vacuum Making Wave Machine Base on S7-1200 Ethernet Communication[J].Industrial Instrumentation & Automation,2016,(05):31.
[7]赵铁锋,左建勇,韩 飞,等.基于试验数据的地铁制动的能量分布分析方法[J].工业仪表与自动化装置,2017,(04):7.
 ZHAO Tiefeng,ZUO Jianyong,HAN Fei,et al.Analytical method of energy distribution in subway brake system based on test data[J].Industrial Instrumentation & Automation,2017,(05):7.
[8]杨国颖.基于模拟退火算法对兰州新区电商TSP问题的研究[J].工业仪表与自动化装置,2018,(02):133.[doi:1000-0682(2018)02-0000-00]
 YANG Guoying.Research of TSP problem in Lanzhou district logistics based on simulated annealing algorithm[J].Industrial Instrumentation & Automation,2018,(05):133.[doi:1000-0682(2018)02-0000-00]
[9]王江荣,白保琦.基于粗糙集的Probit回归模型在煤炭种类识别中的应用[J].工业仪表与自动化装置,2018,(04):12.[doi:1000-0682(2018)04-0000-00]
 WANG Jiangrong,BAI Baoqi.Application of Probit regression model based on rough set in coal classification[J].Industrial Instrumentation & Automation,2018,(05):12.[doi:1000-0682(2018)04-0000-00]
[10]李 萍.基于BP和多项式拟合模型在电力系统短期负荷的研究[J].工业仪表与自动化装置,2018,(05):136.[doi:1000-0682(2018)05-0000-00]
 LI Ping.Based on the BP and polynomial fitting model in the study of the electric power system short-term load[J].Industrial Instrumentation & Automation,2018,(05):136.[doi:1000-0682(2018)05-0000-00]

备注/Memo

备注/Memo:

收稿日期 2014-11-26

基金项目 甘肃省属高校基本科研业务费专项资金资助项目 ( 甘财教[ 2010 176) ;江苏省轨道交通工程研发中心开放基金项目

作者简介 陈宏希( 1970 ),男,陕西岐山人, 2002 年毕业于兰州大学信息科学与工程学院,硕士,副教授,主要研究方向为图像处理,模式识别,专家系统。

更新日期/Last Update: 1900-01-01