Comparación del desempeño de estimadores de estado no lineales para determinar la concentración de biomasa y sustrato en un bioproceso

Abstract

This paper presents a comparative analysis of various nonlinear estimation techniques when is applied on a bioprocess. Extended Luenberger observer, Extended Kalman filter and Sliding Mode observer were evaluated for a microbial growth process. The performance of the nonlinear estimators is evaluated in terms of error indicators and their ability to cope with process uncertainties such as measurement errors and uncertain initial conditions. The simulation results suggest that the extended Kalman filter provide accurate estimates of the states and that the Extended Luenberger observer is not recommended for this type of bioprocesses.