A PID-type fuzzy controller model for machine control applications

被引：0
|
作者：
L. Zhu
D. Toncich
R. Nagarajah
K. Romanski
机构：
[1] Swinburne University of Technology,Industrial Research Institute
[2] Farley Cutting Systems Australia P/L,Research Leader
[3] Hawthorn Industrial Research Institute,undefined
[4] Swinburne,undefined
来源：
The International Journal of Advanced Manufacturing Technology | 1997年 / 13卷
关键词：
Adaptive; Controller; Fuzzy; PID; Self-learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper introduces a PID-like fuzzy controller model, which consists of only five fuzzy rules. Each fuzzy rule is designed to carry out a single control task. A self-learning procedure is used to determine the input scale factor for auto-tuning the system. A new performance criterion is suggested as an object function for the auto-tuning procedure. The features of this fuzzy controller, used in position control applications, are demonstrated by the simulation results of two different types of plants — a d.c. motor and an inverted pendulum.
引用
收藏
页码：696 / 707
页数：11
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