Decoupling constrained model predictive control of multi-component packed distillation column


Ay S., KARACAN S.

World Applied Sciences Journal, cilt.13, sa.3, ss.517-530, 2011 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 13 Sayı: 3
  • Basım Tarihi: 2011
  • Dergi Adı: World Applied Sciences Journal
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.517-530
  • Anahtar Kelimeler: Constrained model predictive control, Decoupling, Packed distillation column
  • Ankara Üniversitesi Adresli: Evet

Özet

In this work, separation of multi-component mixture was conducted in a continuously fed laboratory scaled distillation column. Mixture including five components, namely methanol-ethanol-n buthanol-isoamine alcohol-anisol, was obtained from ethyl alcohol production plant and was used as a feed mixture. Stable control of packed distillation column is of great importance for improvements of operation efficiency and higher product concentration. Decoupled multi-loop Unconstrained Model Predictive Controllers (MPC) are not carried out to manage to eliminate the effects of interactions among the control loops, but they generally become sluggish due to imperfect process models and a close control of the process is usually impossible in real practice. Based on its inherent unconstrained scheme, Constrained Model Predictive Control (CMPC) is employed to handle such highly interacting system. For high quality requirements, a two-input two-output model of the packed distillation column is constructed. Constrained model predictive control is applied in packed distillation column plant and operation of the process close to their optimum operating conditions is achieved. © IDOSI Publications, 2011.