基于模糊竞争学习的模糊自校正控制  

A Fuzzy Self-tuning Controller Based on Fuzzy Competitive Learning

作　　者：王宏伟[1] 贺汉根[1] 詹荣开[1] 黄柯棣[1] 

机构地区：[1]国防科学技术大学机电工程与自动化学院,湖南长沙410073

出　　处：《应用科学学报》2001年第3期249-252,共4页Journal of Applied Sciences

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 .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.

关 键 词：模糊竞争学习 模糊自校正控制 模糊辨识 静态卡尔曼滤波 非线性系统 模糊规则 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TP273.4[自动化与计算机技术—控制科学与工程]