Design of Fuzzy Neural Network-Based Robust Gain Scheduling Controllers

被引：0
|
作者：
Sato, Yoshishige [1 ]
机构：
[1] Gifu Univ, Gifu, Japan
来源：
ELECTRICAL ENGINEERING IN JAPAN | 2009年 / 169卷 / 04期
关键词：
fuzzy neural network; robust gain scheduling controller; intelligent control;
D O I：
10.1002/eej.20820
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a method of robust. gain scheduling control design by intelligent control that uses a fuzzy neural network without a model. We create a system that is robust and capable of automatic gain control against the conventional fixed PID control system, design a neural network which learns inverse dynamics as feedforward compensation, along with a two-degree-of-freedom control to perform feedback compensation, produce a control system which adaptively adjusts the gain according to changes of the target errors, and verify the effectiveness of the proposed method. (C) 2009 Wiley Periodicals, Inc. Electr Eng Jpn, 169(4): 21-28, 2009; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20820
引用
收藏
页码：21 / 28
页数：8
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