APPLICATION OF TEMPERATURE CONTROL IN A BATCH POLYMERIZATION REACTOR AT DIFFERENT OPTIMAL TEMPERATURES

Cetinkaya S., DURMAZUÇAR H. H., ZEYBEK Z., HAPOĞLU H., Alpbaz M.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, cilt.28, sa.2, ss.383-392, 2013 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 28 Sayı: 2
  • Basım Tarihi: 2013
  • Dergi Adı: JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.383-392
  • Anahtar Kelimeler: Polymerization reactor, generalized delta rule algorithm, generalized predictive control, GENERALIZED PREDICTIVE CONTROL, FUZZY CONTROL METHOD, GENETIC ALGORITHM, NEURAL-NETWORKS, RADICAL POLYMERIZATION, PERFORMANCE, TRACKING, QUALITY
  • Ankara Üniversitesi Adresli: Evet

Özet

The generalized delta rule (GDR) algorithm with generalized predictive control (GPC) was used to control the temperature of a jacketed batch reactor in which styrene polymerization occurs under isothermal conditions. The effects of different optimal conditions were examined on monomer conversion, average viscosity molecular weight and chain length. The neural network model based on the relation between the reactor temperature and heat input to the reactor was used. The efficiency of the GDR with GPC was examined by simulation and experimentally using GDR parameters specified at constant temperatures, and compared with Self-Tuning PID (STPID). It was observed that the control experiments provided a good performance in maintaining the reactor temperature at its set point and yielded polymer product with desired properties.