Optimization of fuzzy model using genetic algorithm for process control application

Rubiyah Yusof, Ribhan Zafira Abdul Rahman, Marzuki Khalid, Mohd Faisal Ibrahim

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

A technique for the modeling of nonlinear control processes using fuzzy modeling approach based on the TakagiSugeno fuzzy model with a combination of genetic algorithm and recursive least square is proposed. This paper discusses the identification of the parameters at the antecedent and consequent parts of the fuzzy model. For the antecedent fuzzy parameters, genetic algorithm is used to tune them while at the consequent part, recursive least squares approach is used to identify the system parameters. This approach is applied to a process control rig with three subsystems: a heating element, a heat exchanger and a compartment tank. Experimental results show that the proposed approach provides better modeling when compared with Takagi Sugeno fuzzy modeling technique and the linear modeling approach.

Original languageEnglish
Pages (from-to)1717-1737
Number of pages21
JournalJournal of the Franklin Institute
Volume348
Issue number7
DOIs
Publication statusPublished - Sep 2011

Fingerprint

Fuzzy Model
Process Control
Process control
Fuzzy Modeling
Genetic algorithms
Genetic Algorithm
Electric heating elements
Least Squares
Optimization
Modeling
Heat exchangers
Fuzzy Parameters
Takagi-Sugeno Fuzzy Model
Heat Exchanger
Nonlinear Control
Process Modeling
Heating
Subsystem
Experimental Results

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Networks and Communications
  • Applied Mathematics
  • Signal Processing

Cite this

Optimization of fuzzy model using genetic algorithm for process control application. / Yusof, Rubiyah; Abdul Rahman, Ribhan Zafira; Khalid, Marzuki; Ibrahim, Mohd Faisal.

In: Journal of the Franklin Institute, Vol. 348, No. 7, 09.2011, p. 1717-1737.

Research output: Contribution to journalArticle

Yusof, Rubiyah ; Abdul Rahman, Ribhan Zafira ; Khalid, Marzuki ; Ibrahim, Mohd Faisal. / Optimization of fuzzy model using genetic algorithm for process control application. In: Journal of the Franklin Institute. 2011 ; Vol. 348, No. 7. pp. 1717-1737.
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