Model Based Predictive Strategy for Dissolved Oxygen Control Applied to a Batch Bioprocess

ALEX ALZATE; ADRIANA AMICARELLI; LINA GÓMEZ; FERNANDO DI SCIASCIO

Córdoba

Workshop; XVI Reunión de Trabajo del Procesamiento de la Información y Control; 2015

This paper proposes a novel Model Predictive Control strategy of dissolved oxygen (DO). The control design finds application on the Bt δ-endotoxins batch process production. This strategy improves the DO control by preventing the usual drawbacks that appear with a step level change in the DO reference profile. Simulations results are provided as well as comparison results against a well known Lyapunov based controller and a classical PID controller.