Observer based adaptive model for a class of aerobic batch bioreactor

The main issue of this work is to design a nonlinear observer (soft sensor) with finite convergence time for a class of batch bioreacting systems. Considering the necessity to fast response for monitoring and control issues for batch processes a finite time high order sliding-mode observer is considered. It is presented a theoretical analysis to provide a sketch of proof to demonstrate the convergence properties of the proposed observer and the finite time of convergence is calculated from the same analysis. A simple model for a batch aerobic wastewater bioreactor, experimentally corroborated, is proposed as application example and numerical experiments show the adequate observer performance compared to a standard nonlinear Luenberger observer.

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Bibliographic Details
Main Authors: Aguilar-López,R., López-Pérez,P. A., Neria-González,M.I., Domínguez-Bocanegra,A.R.
Format: Digital revista
Language:English
Published: Universidad Autónoma Metropolitana, División de Ciencias Básicas e Ingeniería 2010
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1665-27382010000100004
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Summary:The main issue of this work is to design a nonlinear observer (soft sensor) with finite convergence time for a class of batch bioreacting systems. Considering the necessity to fast response for monitoring and control issues for batch processes a finite time high order sliding-mode observer is considered. It is presented a theoretical analysis to provide a sketch of proof to demonstrate the convergence properties of the proposed observer and the finite time of convergence is calculated from the same analysis. A simple model for a batch aerobic wastewater bioreactor, experimentally corroborated, is proposed as application example and numerical experiments show the adequate observer performance compared to a standard nonlinear Luenberger observer.