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一种规则生成和参数自调整模糊控制器及其应用研究
引用本文:王健,陈长林,孙雁飞,李明河.一种规则生成和参数自调整模糊控制器及其应用研究[J].苏州大学学报(医学版),2004,20(1):42-46.
作者姓名:王健  陈长林  孙雁飞  李明河
作者单位:安徽工业大学电气信息学院,安徽万能达发电公司,南京邮电学院网络技术研究中心,安徽工业大学电气信息学院 安徽马鞍山 243002,安徽马鞍山 243000,江苏南京 210003,安徽马鞍山 243002
基金项目:安徽省教育厅科研资助项目(2002KJ043)
摘    要:控制过程中,对象常具有非线性、时滞、不确定性和参数时变的特点,而普通模糊控制器因控制规则固定,影响控制效果.针对这些问题,基于模糊神经网络的方法,设计一种模糊控制器,对学习算法进行推导,实现模糊控制规则的自生成和参数自调整.经仿真实验并根据其特点,将之应用于烧结控制过程,表明该控制器有良好的控制性能.

关 键 词:规则自生成  参数自调整  模糊神经网络  模糊控制器  烧结终点
文章编号:1000-2073(2004)01-0042-05
修稿时间:2003年6月15日

The research and application of a fuzzy controller with fuzzy rules'automatic generating and parameter-tuning of network
WANG Jian,CHEN Chang-lin,SUN Yan-fei,LI Ming-he.The research and application of a fuzzy controller with fuzzy rules''''automatic generating and parameter-tuning of network[J].Journal of Suzhou University(Natural Science),2004,20(1):42-46.
Authors:WANG Jian  CHEN Chang-lin  SUN Yan-fei  LI Ming-he
Affiliation:WANG Jian~1,CHEN Chang-lin~2,SUN Yan-fei~3,LI Ming-he~1
Abstract:During the process of control, there are some control objects with characteristics of nonlinearity, time lag, uncertainty and frequent changes of parameters. For these objects, fuzzy controller's control effect is weakened because it's control rules are fixed in advance. In order to improve this condition,the method of fuzzy neural network to design a fuzzy controller is used. A new learning algorithm is derived theoretically to realize the fuzzy rules' automatic generating and parameter-tuning of network. The simulation experiment and application in sintering controlling based on the fuzzy controller's features show that this controller has better performance.
Keywords:fuzzy rules' automatic generating  parameter-tuning of network  fuzzy neural network  fuzzy controller  burning through point of sintering
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