Application of nonlinear model predictive control based on different models to batch polymerization reactor

Cetinkaya S., ANAKLI D., ZEYBEK Z., HAPOĞLU H., Alpbaz M.

5th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, IMAACA 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011, Rome, İtalya, 12 - 14 Eylül 2011, ss.148-155 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Rome
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.148-155
  • Anahtar Kelimeler: Generalized predictive control, Nonlinear model predictive control, Styrene polymerization
  • Ankara Üniversitesi Adresli: Evet

Özet

In the present work, at the previously determined optimal conditions, to control batch polymerization reactor, Linear Generalized Predictive Control (LGPC) and Nonlinear Generalized Predictive Control (NLGPC) algorithm were utilized. Several system models were applied to the control algorithms. The effect of different optimal conditions has been examined on monomer conversion, average viscosity molecular weight and chain length. At the same operating conditions of LGPC and NLGPC temperature control was used for comparison. According to the experimental results, the performance of NLGPC was obtained well than LGPC control method. In addition, the results denoted that the NLGPC control performances depend on different models and the optimum conditions.