Application of generalized predictive control to baker's yeast production

Akay B., Ertunc S., Bursali N., Hapoglu H., Alpbaz M.

CHEMICAL ENGINEERING COMMUNICATIONS, cilt.190, sa.5-8, ss.999-1017, 2003 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 190 Sayı: 5-8
  • Basım Tarihi: 2003
  • Doi Numarası: 10.1080/00986440302128
  • Dergi Adı: CHEMICAL ENGINEERING COMMUNICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.999-1017
  • Anahtar Kelimeler: generalized predictive control, bioreactor, ARIMAX model, ADAPTIVE-CONTROL
  • Ankara Üniversitesi Adresli: Evet

Özet

Generalized Predictive Control (GPC) was applied in the production of baker's yeast. The bioreactor was modeled with the autoregressive integrated moving average exogenous (ARIMAX) parametric difference equation model. A 2 L bioreactor with a cooling jacket was used for collecting input-output data. In order to measure pH, temperature, and dissolved oxygen in the bioreactor growth medium, suitable sensors were placed in the bioreactor. Medium temperature and the heat of the immersed heater were selected as output and manipulated variable, respectively. Square wave and a pseudo-random binary sequence (PRBS) signal were used as disturbance. Model parameters were calculated by using the recursive least square parameter estimation method.