Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms

This paper deals with the estimation of unknown signals in bioreactors using sliding observers. Particular attention is drawn to estimate the specific growth rate of microorganisms from measurement of biomass concentration. In a recent article, notions of high-order sliding modes have been used to d...

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Detalles Bibliográficos
Autores principales: De Battista, Hernán, Picó, Jesús, Garelli, Fabricio, Navarro, J. L.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2012
Materias:
Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/123847
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-123847
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
spellingShingle Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
De Battista, Hernán
Picó, Jesús
Garelli, Fabricio
Navarro, J. L.
Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
topic_facet Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
description This paper deals with the estimation of unknown signals in bioreactors using sliding observers. Particular attention is drawn to estimate the specific growth rate of microorganisms from measurement of biomass concentration. In a recent article, notions of high-order sliding modes have been used to derive a growth rate observer for batch processes. In this paper we generalize and refine these preliminary results. We develop a new observer with a different error structure to cope with other types of processes. Furthermore, we show that these observers are equivalent, under coordinate transformations and time scaling, to the classical super-twisting differentiator algorithm, thus inheriting all its distinctive features. The new observers' family achieves convergence to time-varying unknown signals in finite time, and presents the best attainable estimation error order in the presence of noise. In addition, the observers are robust to modeling and parameter uncertainties since they are based on minimal assumptions on bioprocess dynamics. In addition, they have interesting applications in fault detection and monitoring. The observers performance in batch, fed-batch and continuous bioreactors is assessed by experimental data obtained from the fermentation of <i>Saccharomyces Cerevisiae</i> on glucose.
format Articulo
Articulo
author De Battista, Hernán
Picó, Jesús
Garelli, Fabricio
Navarro, J. L.
author_facet De Battista, Hernán
Picó, Jesús
Garelli, Fabricio
Navarro, J. L.
author_sort De Battista, Hernán
title Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
title_short Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
title_full Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
title_fullStr Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
title_full_unstemmed Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
title_sort reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/123847
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AT garellifabricio reactionratereconstructionfrombiomassconcentrationmeasurementinbioreactorsusingmodifiedsecondorderslidingmodealgorithms
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