Fuzzy model reference adaptive controller design for multivariable nonlinear system

被引：2
|
作者：
Li Z. [1 ]
Jin H. [2 ]
机构：
[1] School of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang
[2] Hebei Science and Technology Information Institute, Shijiazhuang
来源：
International Journal of Digital Content Technology and its Applications | 2011年 / 5卷 / 09期
关键词：
Adaptive system; AGC; Fuzzy logical control; Model reference; Spherical motor;
D O I：
10.4156/jdcta.vol5.issue9.11
中图分类号：
学科分类号：
摘要：
This paper describes the fuzzy model reference adaptive controller design for nonlinear system based on TSK model. The stability of closed-loop system can be assured by Lyapunov function and the adaptive law is developed. The parameters of the controller can be regulated by the adaptive rules and the control scheme is applied on the automatic gauge control system and spherical motor system as two examples. The analysis of dynamic performance for ordinary PID controller and fuzzy adaptive controller is performed in detail with simulation software. Simulation results verify the systems with strong adaptive ability and can adapt to the changes and disturbances of the controlled object. This study provides a theoretical guide for the configuration design, optimization and control research of multivariable nonlinear systems.
引用
收藏
页码：95 / 103
页数：8
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