Adaptive Fed-batch Control of Escherichia coli Fermentation for Protein Production

Abstract

A new adaptive linearizing control algorithm that stabilizes the carbon source concentration in a desired value is proposed. This algorithm is applied to recombinant protein production by Escherichia coli. A model for control of the investigated process is derived. The model identification is made based on experimental data of the batch phase of the process. The operating model includes two sub-models. Each of them describes one of the two physiological states through which the process passes. Switching from one model to another depends on the sign of a key parameter obtained from the acetate measurements. A cascade scheme of software sensors for the estimation of two biomass growth rates included in the structure of the proposed control algorithm is derived. Simulation studies of the developed closed system have been carried out. The results of the impact of an open-loop control system on the same object are compared.