Reaction Rate Estimation and MPC of Hybridoma Cell Cultures

GORRINI, F.A.; BIAGIOLA, S.I.; FIGUEROA, J.L.; VANDE WOUWER, A.

Lommel

Encuentro; 38th. Benelux Meeting on Systems and Control; 2019

KU Leuven

This paper addresses the problem of maximizing biomass productivity and, indirectly, monoclonal antibodies production, of a fed-batch hybridoma cell culture. A dynamic model of the process is used by a model predictive algorithmto determine the optimal feed rate, as suggested in (Dewasme et al., 2015). As only a few component concentrations can be measured on line, an unknown input observer is used to estimate the reaction rates. This observer is based on a multimodel decomposition of the original model, and uses a minimum variance (Kalman-like) approach.