Nonlinear parametric model identification and model based control of S-cerevisiae production

Akay, BÜLENT

doi:10.1007/978-3-540-24687-9_111

Nonlinear parametric model identification and model based control of S-cerevisiae production

Akay B.

COMPUTATIONAL SCIENCE - ICCS 2004, PT 2, PROCEEDINGS, cilt.3037, ss.722-725, 2004 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 3037
Basım Tarihi: 2004
Doi Numarası: 10.1007/978-3-540-24687-9_111
Dergi Adı: COMPUTATIONAL SCIENCE - ICCS 2004, PT 2, PROCEEDINGS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Sayfa Sayıları: ss.722-725
Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
Ankara Üniversitesi Adresli: Evet

Özet

This work shows the application of Parametric Model Identification method which is Recursive Least Square for the estimation of nonlinear model parameters. The model of the bioreactor dynamics was assumed in the form of regression model. DMC (Dynamic Matrix Control) and PID Control systems of S.cerevisiae yeast production in a batch bioreactor have been investigated experimentally to achieve the optimal operating condition. The performance of these control algorithms was compared with each other.