Title :
Fuzzy modelling for reboiler system
Author :
Yusof, Rubiyah ; Ibrahim, Mohd Faisal ; Khalid, Marzuki
Author_Institution :
Fac. of Electr. Eng., Universiti Teknologi Malaysia, Malayia
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;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1415012
