Application of fuzzy control method with genetic algorithm to a polymerization reactor at constant set point

ALTINTEN A., Erdogan S., Hapoglu H., Aliev F., Alpbaz M.

CHEMICAL ENGINEERING RESEARCH & DESIGN, vol.84, no.A11, pp.1012-1018, 2006 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 84 Issue: A11
  • Publication Date: 2006
  • Doi Number: 10.1205/cherd06027
  • Journal Name: CHEMICAL ENGINEERING RESEARCH & DESIGN
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1012-1018
  • Keywords: polymerization reactor, genetic algorithms, fuzzy control, membership functions, BATCH POLYMERIZATION, TEMPERATURE CONTROL, OPTIMAL-DESIGN, MEMBERSHIP FUNCTIONS, MULTIPRODUCT
  • Ankara University Affiliated: Yes

Abstract

In this work, the fuzzy control was designed using genetic algorithm (GA) to control the temperature of a jacketed batch reactor in which styrene polymerization takes place under isothermal conditions. The fitness function for GA is chosen as the integral of the absolute value of the error (IAE). By using fuzzy parameters specified at constant temperatures, the efficiency of the fuzzy controller with GA was examined by simulation and experimentally. It was seen that GA is able to tune the fuzzy controller efficiently for different situations and therefore to control the temperature of the polymerization reactor.