Feedback Linearization with Fuzzy Compensation for Uncertain Nonlinear Systems

被引：7
|
作者：
Tanaka, M. C. [1 ]
Fernandes, J. M. M. [1 ]
Bessa, W. M. [1 ]
机构：
[1] Univ Fed Rio Grande do Norte, Dept Engn Mecan, BR-59072970 Natal, RN, Brazil
来源：
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL | 2013年 / 8卷 / 05期
关键词：
feedback linearization; fuzzy logic; nonlinear control; Van der Pol oscillator; ADAPTIVE-CONTROL; NEURAL-NETWORKS;
D O I：
10.15837/ijccc.2013.5.14
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 presents a nonlinear controller for uncertain single-input single-output (SISO) nonlinear systems. The adopted approach is based on the feedback linearization strategy and enhanced by a fuzzy inference algorithm to cope with modeling inaccuracies and external disturbances that can arise. The boundedness and convergence properties of the tracking error vector are analytically proven. An application of the proposed control scheme to a second-order nonlinear system is also presented. The obtained numerical results demonstrate the improved control system performance.
引用
收藏
页码：736 / 743
页数：8
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