首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于神经网络PID的连挤连轧速度控制系统
引用本文:刘富东,祁伟,运新兵.基于神经网络PID的连挤连轧速度控制系统[J].大连交通大学学报,2014,35(5):92-94.
作者姓名:刘富东  祁伟  运新兵
作者单位:大连交通大学连续挤压教育部工程研究中心,辽宁大连,116028
基金项目:国家自然科学基金资助项目,国家科技支撑计划资助项目,辽宁省自然科学基金资助项目
摘    要:根据连挤连轧速度控制的特点,将改进BP神经网络与PID控制算法相结合,采用西门子S7-200型PLC实现连挤连轧机的变频调速控制.通过与传统PID和BP神经网络PID算法比较,改进BP神经网络PID控制器具有较短的动态响应时间和良好的跟随性,表明该方法在连挤连轧速度控制中有良好的应用价值.

关 键 词:连挤连轧  改进BP神经网络  速度控制

Speed Control System Based on the Continuous Extrusion and Rolling of Neural Network PID
LIU Fudong,QI Wei,YUN Xinbing.Speed Control System Based on the Continuous Extrusion and Rolling of Neural Network PID[J].Journal of Dalian Jiaotong University,2014,35(5):92-94.
Authors:LIU Fudong  QI Wei  YUN Xinbing
Institution:( Engineering Research Center of Continuous Extrusion, Ministry of Education, Dalian Jiaotong University, Dalian 116028, China)
Abstract:Based on the characteristics of continuous extrusion and rolling speed control, the improved BP neural network is combined with PID control algorithm, and Siemens S7-200 PLC is adopted to realize the tan- dem mill of motor frequency and speed controls. By comparison with traditional PID and BP neural network PID algorithm, the improved BP neural network PID controller has shorter dynamic response time and good fol- lowing characteristics, which indicates that the method has a good application value in the crowded and rolling speed control.
Keywords:continuous extrusion and rolling  PID  improved BP neural  speed control
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号