Dynamic reoptimization of a fed-batch fermentor.
Traditionally, fed-batch biochemical process optimization and control use complicated models and off-line optimizers with no on-line model adaptation and re-optimization. This work demonstrates the applicability, effectiveness, and economic potential, of a simple phenomenological model for modeling, and a novel optimizer for on-line re-optimization and control of an aerobic fed-batch fermentor.
Iyer
M S
MS
Department of Chemical Engineering, Texas Tech University, Lubbock, Texas 79409-3121, USA.
Wiesner
T F
TF
Rhinehart
R R
RR
D000818:Animals; D000911:Antibodies, Monoclonal / Q000096:biosynthesis*; D019149:Bioreactors; D001709:Biotechnology / Q000295:instrumentation / Q000379:methods; D018929:Cell Culture Techniques / Q000295:instrumentation / Q000379:methods*; D005285:Fermentation; D006801:Humans; D006825:Hybridomas / Q000166:cytology*; D007700:Kinetics; D008962:Models, Theoretical; D015203:Reproducibility of Results
D000911:Antibodies, Monoclonal