A type-2 fuzzy logic controller for the liquid-level process

Author

Wu, Dongrui ; Tan, Woei Wan

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore

Volume

2

fYear

2004

fDate

25-29 July 2004

Firstpage

953

Abstract

This paper focuses on evolving type-2 fuzzy logic controllers (FLCs) genetically and examining whether they are better able to handle modelling uncertainties. The study is conducted by utilizing a type-2 FLC, evolved by a genetic algorithm (GA), to control a liquid-level process. A two stage strategy is employed to design the type-2 FLC. First, the parameters of a type-1 FLC are optimized using GA. Next, the footprint of uncertainty is evolved by blurring the fuzzy input set. Experimental results show that the type-2 FLC copes well with the complexity of the plant, and can handle the modelling uncertainty better than its type-1 counterpart.

Keywords

control system synthesis; fuzzy control; fuzzy logic; fuzzy set theory; genetic algorithms; level control; process control; uncertainty handling; GA; control system synthesis; footprint of uncertainty; fuzzy input set; genetic algorithm; liquid level process control; type-1 fuzzy logic controller; type-2 fuzzy logic controller; uncertainty handling; Engines; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetic algorithms; Nonlinear systems; Process control; Robustness; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375536

Filename

1375536