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基于模糊神经网络的板形板厚综合控制系统
引用本文:王粉花,孙一康,陈占英. 基于模糊神经网络的板形板厚综合控制系统[J]. 北京科技大学学报, 2003, 25(2): 182-184
作者姓名:王粉花  孙一康  陈占英
作者单位:1. 北京科技大学信息工程学院,北京,100083
2. 冶金自动化研究院,北京,100071
基金项目:国家重大技术装备研究项目;ZZ-02-13B-03-03;
摘    要:面对板形板厚控制这一复杂、多变量耦合的非线性系统,提出一种基于模糊神经网络的综合控制方案,实现了无模型板形板厚综合控制.仿真结果表明,该控制系统收敛性好、抗干扰性强,取得令人满意的板形板厚控制精度.

关 键 词:板形板厚综合控制系统 模糊神经网络 智能控制 轧制过程 模糊控制
修稿时间:2002-05-11

Strip Flatness and Gauge Composite Control System Based on Fuzzy Neural Networks
WANG Fenhua,SUN Yikang,CHEN Zhanying) Information Engineering School,University of Science and Technology Beijing,Beijing ,China) Researth Institute of Metallurgical Automation,Beijing ,China. Strip Flatness and Gauge Composite Control System Based on Fuzzy Neural Networks[J]. Journal of University of Science and Technology Beijing, 2003, 25(2): 182-184
Authors:WANG Fenhua  SUN Yikang  CHEN Zhanying) Information Engineering School  University of Science  Technology Beijing  Beijing   China) Researth Institute of Metallurgical Automation  Beijing   China
Affiliation:WANG Fenhua,SUN Yikang,CHEN Zhanying1) Information Engineering School,University of Science and Technology Beijing,Beijing 100083,China2) Researth Institute of Metallurgical Automation,Beijing 100071,China
Abstract:Based on the fuzzy neural networks, a composite control system without any model was proposed which is used to automatic flatness control (AFC) and automatic gauge control (AGC). The simulation result shows that this system has good performances of convergency and resisting disturbances and gains a satisfied control accuracy of the flatness and the gauge.
Keywords:fuzzy control  neural network  gauge control  flatness control
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