Adaptive algorithms for estimation of multiple biomass growth rates and biomass concentration in a class of bioprocesses

Abstract

An approach for multiple biomass growth rates and biomass concentration estimation is proposed for a class of bioprocesses characterizing by on-line measurements of dissolved oxygen concentration and off-line measurements of biomass concentration. The approach is based on adaptive observer theory and includes two steps. In the first one, an adaptive estimator of two biomass growth rates is designed using on-line measurements of dissolved oxygen concentration. In the second step, the third biomass growth rate and the biomass concentration are estimated on the basis of other estimator using additionally off-line measurements of biomass concentrations. The simulation results demonstrated the good performance of the estimators under fed-batch conditions.