Year: 2009
Type: conference-paper
Abstract: Nowadays many advanced control tools are available to improve industrial processes (e. g. virtual analyzers, state estimators, predictive and multivariable controllers, etc.).Particularly, state estimation techniques have a long development history focused mainly to supply the lack of system measurements.Between the applications enclosed by state estimators we can highlight: more detailed process monitoring, mathematical model fitting and update, transient data reconciliation and feedback control.Although state estimators have been successfully used in many chemical processes, only few works report the application of this tool in bioprocesses.In this paper we evaluate the applications of three state estimation techniques in a biorrector: Extended Kalman Filter (EKF), Constrained Extended Kalman Filter (CEKF) and Moving Horizon Estimator (MHE).As benchmark case study we have chosen the continuous glucose fermentation with Zymomonas mobilis bacteria to produce ethanol.Our results clearly show the relevance of state estimators as a tool to improve the bioprocesses operation.
Institution: Universidade Federal do Rio Grande do Sul
Language: Portuguese
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W653249261