A robust model reference fuzzy control for nonlinear systems

Author

Ren, Tsai-Jiun ; Chen, Tien-Chi

Author_Institution

Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan

Volume

1

fYear

2004

fDate

2-4 Sept. 2004

Firstpage

165

Abstract

This work presents a model reference adaptive control structure based on the fuzzy logic mechanism for nonlinear systems. The main elements in the proposed control scheme are a model reference fuzzy controller (MRFC) and a robust fuzzy compensator (RBFC). The MRFC is developed to modulate the closed-loop linearized system performance to approximate the desired reference model. The RBFC compensates the diversity between the nonlinear systems and designed linearized model. Furthermore, when the nonlinear system suffers disturbance, the RBFC can provide applicable force to resist the disturbance, allowing the entire system to be robust. The overall system is provided with a model reference response and good robustness. The proposed control scheme and the effectiveness demonstrate the ability by computer simulations.

Keywords

closed loop systems; compensation; digital simulation; fuzzy control; fuzzy logic; model reference adaptive control systems; nonlinear control systems; robust control; closed loop linearized system; computer simulations; fuzzy logic mechanism; model reference adaptive control structure; nonlinear systems; robust fuzzy compensator; robust model reference fuzzy controller; Adaptive control; Feedback; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear systems; Resists; Robust control; Sliding mode control; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2004. Proceedings of the 2004 IEEE International Conference on

Print_ISBN

0-7803-8633-7

Type

conf

DOI

10.1109/CCA.2004.1387205

Filename

1387205