A design of fuzzy neural network control with decoupling for ball mill system

被引：0
|
作者：
Yang, XY [1 ]
Xu, DP [1 ]
Li, J [1 ]
机构：
[1] N China Elect Power Univ, Dept Automat, Beijing 102206, Peoples R China
来源：
NEW TECHNOLOGIES FOR AUTOMATION OF METALLURGICAL INDUSTRY 2003 | 2004年
关键词：
fuzzy neural network; convergence analysis; decoupling; neural network; time-domain response; multivariable system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An on-line fuzzy neural network control (FNNC) with decoupling unit is applied for ball mill system of blast furnace. The structure of FNNC is composed of premise and consequence part. Premise parameters reduce fuzzy rules to solve the combination explosion of multi-inputs. Consequence parameters achieve a good transient response. An adaptive step size equation created by a Lyapunov function guarantees convergence of algorithm. Neural network decoupler based on time-domain response curve is used to counter the interaction among channels. Simulation results prove effectiveness of proposed control system. Copyright (C) 2003 IFAC.
引用
收藏
页码：47 / 51
页数：5
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