Design and analysis of region-wise linear fuzzy controllers

Author

Taur, J.S. ; Tao, C.W.

Author_Institution

Dept. of Electr. Eng., Nat. Chung-Hsing Univ., Taichung, Taiwan

Volume

27

Issue

3

fYear

1997

fDate

6/1/1997 12:00:00 AM

Firstpage

526

Lastpage

532

Abstract

In this paper, a methodology to reduce the complexity of a robust controller based on fuzzy if-then rules is proposed. The motivation and the design of this complexity-reduced fuzzy controller are presented. This fuzzy controller with the triangular membership functions and fuzzy partition methods used here leads to a region-wise linear fuzzy controller (RLFC). The properties of the region-wise linear fuzzy controllers are discussed and the reasons why they in general perform better than the PD controllers are also provided. And the simulation results based on a second order plant are included to show that the region-wise linear fuzzy controller outperforms the PD controller. We also show that the region-wise linear fuzzy controller and original fuzzy controller have similar performances

Keywords

computational complexity; controllers; digital simulation; fuzzy control; two-term control; PD controllers; complexity; fuzzy if-then rules; fuzzy partition methods; region-wise linear fuzzy controllers; robust controller; simulation results; triangular membership functions; Agriculture; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Input variables; Open loop systems; PD control; Robust control;

fLanguage

English

Journal_Title

Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/3477.584960

Filename

584960