Analytical model of three-dimensional fuzzy logic controller for spatio-temporal processes

Author

Li, Han-Xiong ; Zhang, Xianxia ; Li, Shaoyuan

Author_Institution

Dept. of MEEM, City Univ. of Hong Kong, Hong Kong

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

583

Lastpage

588

Abstract

A novel three-dimensional fuzzy logic controller (3D FLC) is presented for controlling the spatio-temporal systems, with the help of three-dimensional (3D) fuzzy sets and inference logic. The analytical model of the 3D FLC is derived to disclose its working principle and guide the control design. The derived model show that the 3D FLC has a global sliding mode structure over the spatial domain, which explains why the 3D FLC is able to process spatial information more effectively with a few more sensors. Based on its sliding mode feature, the 3D fuzzy logic control system can be analyzed and designed in the sense of Lyapunov stability. Finally, a catalytic reactor is presented as an example to validate the effectiveness of 3D FLC.

Keywords

Lyapunov methods; control system synthesis; fuzzy control; fuzzy set theory; variable structure systems; Lyapunov stability; catalytic reactor; control design; fuzzy logic controller; fuzzy set; global sliding mode structure; inference logic; spatio-temporal system; Analytical models; Automatic control; Automation; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Process control; Sliding mode control; distributed parameter system; fuzzy logic controller; three-dimensional fuzzy set;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811340

Filename

4811340