Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems

被引：61
作者：
Yousef, H. [2 ]
Hamdy, M. [1 ]
El-Madbouly, E. [1 ]
Eteim, D. [1 ]
机构：
[1] Menoufia Univ, Fac Elect Engn, Dept Ind Elect & Control Engn, Menof 32952, Egypt
[2] Univ Alexandria, Fac Engn, Dept Elect Engn, Alexandria 21544, Egypt
来源：
AUTOMATICA | 2009年 / 45卷 / 02期
关键词：
Interconnected nonlinear MIMO subsystems; Adaptive fuzzy control; Multi-machine power system; Stability; EXCITATION CONTROL; POWER-SYSTEMS; DESIGN; MODEL;
D O I：
10.1016/j.automatica.2008.07.018
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes an adaptive fuzzy control strategy for decentralized control for a class of interconnected nonlinear systems with MIMO subsystems. An adaptive robust tracking control schemes based on fuzzy basis function approach is developed such that all the states and signals are bounded. In addition, each subsystem is able to adaptively compensate for disturbances and interconnections with unknown bounds. The resultant adaptive fuzzy decentralized control with multi-controller architecture guarantees stability and convergence of the output errors to zero asymptotically by local output-feed back. An extensive application example of a three-machine power system is discussed in detail to verify the effectiveness of the proposed algorithm. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：456 / 462
页数：7
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