Self-tuning PID control of jacketed batch polystyrene reactor using genetic algorithm

ALTINTEN A., Ketevanlioglu F., Erdogan S., HAPOĞLU H., ALPBAZ M.

CHEMICAL ENGINEERING JOURNAL, cilt.138, ss.490-497, 2008 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 138
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1016/j.cej.2007.07.029
  • Dergi Adı: CHEMICAL ENGINEERING JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.490-497
  • Anahtar Kelimeler: polymerization reactor, self-tuning PID control, genetic algorithms, FUZZY CONTROL METHOD, POLYMERIZATION REACTOR
  • Gazi Üniversitesi Adresli: Evet

Özet

Self-tuning PID controller with genetic algorithm (GA) was applied to the temperature control of a jacketed batch polymerization reactor and thus tracking performance of optimal temperature profile was investigated. To obtain optimal tuning parameters of this controller, genetic algorithm was used. The fitness function for GA was taken as the integral of the absolute value of the error (IAE). By using tuning parameters three different optimal temperature trajectories were obtained, the efficiency and the performance of the self-tuning PID controller with GA was examined by simulation and experimentally. It was observed that the control experiments were successfully conducted on tracking the optimal trajectories which would yield polymer product with desired properties. Simulation results also show that self-tuning PID control with GA give very satisfactory results. (C) 2007 Elsevier B.V. All rights reserved.