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

Autores
De Battista, Hernán; Picó, Jesús; Garelli, Fabricio; Navarro, J. L.
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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 Saccharomyces Cerevisiae on glucose.
Facultad de Ingeniería
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
Materia
Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/123847

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network_name_str SEDICI (UNLP)
spelling Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithmsDe Battista, HernánPicó, JesúsGarelli, FabricioNavarro, J. L.IngenieríaBioreactorsBioprocess controlBioprocess observersSliding modesThis 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.Facultad de IngenieríaInstituto de Investigaciones en Electrónica, Control y Procesamiento de Señales2012-05-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf1615-1625http://sedici.unlp.edu.ar/handle/10915/123847enginfo:eu-repo/semantics/altIdentifier/issn/1615-7605info:eu-repo/semantics/altIdentifier/issn/1615-7591info:eu-repo/semantics/altIdentifier/pmid/22614333info:eu-repo/semantics/altIdentifier/doi/10.1007/s00449-012-0752-yinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T11:01:30Zoai:sedici.unlp.edu.ar:10915/123847Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 11:01:30.329SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
title Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
spellingShingle Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
De Battista, Hernán
Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
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
dc.creator.none.fl_str_mv De Battista, Hernán
Picó, Jesús
Garelli, Fabricio
Navarro, J. L.
author De Battista, Hernán
author_facet De Battista, Hernán
Picó, Jesús
Garelli, Fabricio
Navarro, J. L.
author_role author
author2 Picó, Jesús
Garelli, Fabricio
Navarro, J. L.
author2_role author
author
author
dc.subject.none.fl_str_mv Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
topic Ingeniería
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
dc.description.none.fl_txt_mv 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.
Facultad de Ingeniería
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
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.
publishDate 2012
dc.date.none.fl_str_mv 2012-05-22
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/123847
url http://sedici.unlp.edu.ar/handle/10915/123847
dc.language.none.fl_str_mv eng
language eng
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info:eu-repo/semantics/altIdentifier/issn/1615-7591
info:eu-repo/semantics/altIdentifier/pmid/22614333
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00449-012-0752-y
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
1615-1625
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
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instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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