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基于模糊竞争学习的模糊自校正控制
引用本文:王宏伟,贺汉根,詹荣开,黄柯棣.基于模糊竞争学习的模糊自校正控制[J].应用科学学报,2001,19(3):249-252.
作者姓名:王宏伟  贺汉根  詹荣开  黄柯棣
作者单位:国防科学技术大学机电工程与自动化学院, 湖南长沙 410073
摘    要:提出一种基于模糊竞争学习的模糊自校正控制方法.先通过基于模糊竞争学习确定一种在线模糊辨识算法,并给出递推模糊竞争学习算法收敛性证明.在采用此模糊辨识方法对对象进行在线估计的基础上,再用调节器实现参数的自动整定.为验证此法的有效性,还给出了非线性系统的控制结果.

关 键 词:自校正控制  模糊竞争学习  模糊辨识  静态卡尔曼滤波  
文章编号:0255-8297(2001)03-0249-04
收稿时间:2000-06-22
修稿时间:2000-10-28

A Fuzzy Self-tuning Controller Based on Fuzzy Competitive Learning
WANG Hong-wei,HE Han-gen,ZHAN Rong-kai,HUANG Ke-di.A Fuzzy Self-tuning Controller Based on Fuzzy Competitive Learning[J].Journal of Applied Sciences,2001,19(3):249-252.
Authors:WANG Hong-wei  HE Han-gen  ZHAN Rong-kai  HUANG Ke-di
Institution:College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha 410073, China
Abstract:WTBZA fuzzy self-tuning controller based on fuzzy competitive learning is proposed in this paper. First of all, an on-line fuzzy identifying algorithm is confirmed by means of fuzzy competitive learning, and the convergence about a recursive algorithm of fuzzy competitive learning is proved. On the basis of on-line identification of subjects with the aid of the proposed method, the parameters of the adjuster are automatically adjusted. The proposed method is used to control a non-linear system to demonstrate its advantages, and the result is shown at the end of the paper.
Keywords:fuzzy competitive learning  self-tuning controller  fuzzy identifying  static Kalman filtering
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