Fuzzy modelling for reboiler system

Author

Yusof, Rubiyah ; Ibrahim, Mohd Faisal ; Khalid, Marzuki

Author_Institution

Fac. of Electr. Eng., Universiti Teknologi Malaysia, Malayia

Volume

D

fYear

2004

fDate

21-24 Nov. 2004

Firstpage

633

Abstract

Fuzzy system´s ability of providing both heuristic knowledge with quantitative and accurate representation has been exploited for identification of nonlinear and complex system. Takagi-Sugeno (TS) fuzzy system is one of the most popular method used for fuzzy modelling of multi input multi output (MIMO) dynamical system. In this paper, we propose an automatic tuning methods of fuzzy sets for TS fuzzy models using genetic algorithms. The effectiveness of the approach is illustrated by applying the method to a reboiler of batch distillation column. The results show that the proposed system gives a more accurate model than the conventional TS fuzzy model.

Keywords

MIMO systems; boilers; distillation equipment; fuzzy set theory; fuzzy systems; genetic algorithms; large-scale systems; nonlinear dynamical systems; MIMO; Takagi-Sugeno; automatic tuning methods; batch distillation column; complex system; fuzzy modelling; fuzzy sets; fuzzy system; genetic algorithms; heuristic knowledge; multiple input multiple output; nonlinear system; reboiler system; Distillation equipment; Fuzzy sets; Fuzzy systems; Genetic algorithms; Heat transfer; Heating; Petroleum; Silicon; Takagi-Sugeno model; Temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2004. 2004 IEEE Region 10 Conference

Print_ISBN

0-7803-8560-8

Type

conf

DOI

10.1109/TENCON.2004.1415012

Filename

1415012