Model-Based Adaptive Control of Fed-Batch Fermentation Process with the Substrate Consumption Rate Application

Abstract

This paper deals with the model-based adaptive predictive control of the fed-batch fermentation process. For this system the theoretical approach to the substrate consumption rate is given and the estimation procedure with application of the recursive least-squares method is proposed. On the basis of this estimated value two nonlinear model-based adaptive predictive controllers for substrate control have been designed. Both estimation procedure and adaptive controllers have been derived only on the basis of the general form of the state equation written for the substrate concentration so there is no necessity to know the form of the nonlinear part of the model of the system. The estimation accuracy and the control performance have been demonstrated by means of computer simulation.