par Dewasme, Laurent;Vande Wouwer, Alain;Amribt, Zakaria ;Bogaerts, Philippe ;Santos, Lino L.O.;Hantson, Anne Lise
Référence IFAC proceedings volumes, 12, PART 1, page (60-65)
Publication Publié, 2013
Référence IFAC proceedings volumes, 12, PART 1, page (60-65)
Publication Publié, 2013
Article révisé par les pairs
Résumé : | This work addresses the application of control systems to the optimization of a monoclonal antibodies (MAb) production chain. The attention is focused on the maximization of hybridoma fed-batch culture productivity. The proposed model presents kinetics showing strong nonlinearities through min-max functions expressing overflow metabolism. A nonlinear model predictive control (NMPC) algorithm, choosing the best trajectory over a moving finite horizon among different sequences of inputs, is suggested in order to optimize productivity. Sensitivities of selected objective functions are considered in a minimax robust version of the NMPC in order to choose the best configuration with respect to practical operating conditions. © IFAC. |