期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Fuzzy Control System of Hydraulic Roll Bending Based on Genetic Neural Network 被引量:2
1
作者 jiachun-yu liuhong-min zhouhui-feng 《Journal of Iron and Steel Research(International)》 SCIE CAS CSCD 2005年第3期22-27,共6页
For nonlinear hydraulic roll bending control, a new fuzzy intelligent control method was proposed based on the genetic neural network. The method taking account of dynamic and static characteristics of control system ... For nonlinear hydraulic roll bending control, a new fuzzy intelligent control method was proposed based on the genetic neural network. The method taking account of dynamic and static characteristics of control system has settled the problems of recognizing and controlling the unknown, uncertain and nonlinear system successfully, and has been applied to hydraulic roll bending control. The simulation results indicate that the system has good performance and strong robustness, and is better than traditional PID and neural-fuzzy control. The method is an effective tool to control roll bending force with increased dynamic response speed of control system and enhanced tracking accuracy. 展开更多
关键词 genetic algorithm neural network fuzzy control hydraulic roll bending SHAPE
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部