THE MATHEMATICAL MODEL OF YEAST FERMENTATION PROCESS AND REAL-TIME ESTIMATION OF PARAMETER AND STATE
Xia Deqian (Beijing Institute of Light Industry) Wu peizong Pan Feng (Wu Xi Institute of Light Industry)
Because of the absence of sensors for measurement of biochemical process data, in this paper a new method is presented, which applies gas analysis and estimation theory to real-time estimating some important state varibles in culture medium, such as biomass concentration, specific cell growth rate and substrate concentration. In response to relatation of oxygen consumption and energy production, observation model of yeast culture process is obtained. In response to material balance, the state model of yeast culture process is built. The parameters of model are estimaed by Simplex-Adams method. Real-time estimates of states by Kalman fiiter achive satisfactory results. The conbined real-time estimation of model parameters and states are obtained by the extead Kalman filter. The efficacy of this method in engineering is illustrated by experiment.