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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Detalhes bibliográficos
Autores: De Battista, Hernán, Garelli, Fabricio, Picó, Jesús|||0000-0003-4144-3521, Navarro Herrero, José Luís|||0000-0001-6544-9552
Formato: artículo
Fecha de publicación:2012
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/48021
Acesso em linha:https://riunet.upv.es/handle/10251/48021
Access Level:acceso abierto
Palavra-chave:Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
INGENIERIA DE SISTEMAS Y AUTOMATICA
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spelling Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithmsDe Battista, HernánGarelli, FabricioPicó, Jesús|||0000-0003-4144-3521Navarro Herrero, José Luís|||0000-0001-6544-9552BioreactorsBioprocess controlBioprocess observersSliding modesINGENIERIA DE SISTEMAS Y AUTOMATICAThis 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 timevarying 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.This work was supported by the National University of La Plata (Project 2012-2015), the Agency for the Promotion of Science and Technology ANPCyT (PICT2007-00535) and the National Research Council CONICET (PIP112-200801-01052) of Argentina; the Technical University of Valencia (PAID-02-09), the CICYT (DPI2005-01180) and AECID (A/024186/09) of Spain; and by the project FEDER of the European Union.Springer Verlag (Germany)Departamento de Ingeniería de Sistemas y AutomáticaInstituto Universitario de Automática e Informática IndustrialEscuela Técnica Superior de Ingeniería IndustrialAgencia Nacional de Promoción Científica y Tecnológica, ArgentinaUniversitat Politècnica de ValènciaMinisterio de Educación y CienciaConsejo Nacional de Investigaciones Científicas y Técnicas, ArgentinaMinisterio de Asuntos Exteriores y CooperaciónEuropean Regional Development FundRepositorio Institucional de la Universitat Politècnica de València Riunet20122012-11-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/48021reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Nacional de Promoción Científica y Tecnológica, Argentina https://doi.org/10.13039/501100003074 PICT-2007-00535Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina https://doi.org/10.13039/501100002923 PIP112-200801-01052Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-02-09Ministerio de Educación y Ciencia https://doi.org/10.13039/501100008743 DPI2005-01180 DISEÑO E IMPLANTACION DE ESTRATEGIAS AVANZADAS DE SENSORIZACION Y CONTROL PARA LA PRODUCCION INDUSTRIAL DE PROTEÍNAS HETERÓLOGAS EN SISTEMAS MULTI-SUBSTRATOMinisterio de Asuntos Exteriores y Cooperación https://doi.org/10.13039/501100003767 A%2F024186%2F09 CONTROL AUTOMÁTICO DE PROCESOS BIOTECNOLÓGICOS MULTISUBSTRATO (BIOCONTROL)open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/480212026-06-13T07:49:27Z
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
Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
INGENIERIA DE SISTEMAS Y AUTOMATICA
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
Garelli, Fabricio
Picó, Jesús|||0000-0003-4144-3521
Navarro Herrero, José Luís|||0000-0001-6544-9552
author De Battista, Hernán
author_facet De Battista, Hernán
Garelli, Fabricio
Picó, Jesús|||0000-0003-4144-3521
Navarro Herrero, José Luís|||0000-0001-6544-9552
author_role author
author2 Garelli, Fabricio
Picó, Jesús|||0000-0003-4144-3521
Navarro Herrero, José Luís|||0000-0001-6544-9552
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería de Sistemas y Automática
Instituto Universitario de Automática e Informática Industrial
Escuela Técnica Superior de Ingeniería Industrial
Agencia Nacional de Promoción Científica y Tecnológica, Argentina
Universitat Politècnica de València
Ministerio de Educación y Ciencia
Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina
Ministerio de Asuntos Exteriores y Cooperación
European Regional Development Fund
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
INGENIERIA DE SISTEMAS Y AUTOMATICA
topic Bioreactors
Bioprocess control
Bioprocess observers
Sliding modes
INGENIERIA DE SISTEMAS Y AUTOMATICA
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 timevarying 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.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-11-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/48021
url https://riunet.upv.es/handle/10251/48021
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Nacional de Promoción Científica y Tecnológica, Argentina https://doi.org/10.13039/501100003074 PICT-2007-00535
Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina https://doi.org/10.13039/501100002923 PIP112-200801-01052
Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-02-09
Ministerio de Educación y Ciencia https://doi.org/10.13039/501100008743 DPI2005-01180 DISEÑO E IMPLANTACION DE ESTRATEGIAS AVANZADAS DE SENSORIZACION Y CONTROL PARA LA PRODUCCION INDUSTRIAL DE PROTEÍNAS HETERÓLOGAS EN SISTEMAS MULTI-SUBSTRATO
Ministerio de Asuntos Exteriores y Cooperación https://doi.org/10.13039/501100003767 A%2F024186%2F09 CONTROL AUTOMÁTICO DE PROCESOS BIOTECNOLÓGICOS MULTISUBSTRATO (BIOCONTROL)
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Verlag (Germany)
publisher.none.fl_str_mv Springer Verlag (Germany)
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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