Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process

Autores
Jamilis Ricaldoni, Martín Ignacio; Garelli, Fabricio; Mozumder, Salatul Islam; Volcke, Eveline; De Battista, Hernán
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper focuses on the specific growth rate estimation problem in a Polyhydroxybutyrate bioplastic production process by industrial fermentation. The kinetics of the process are unknown and there are uncertainties in the model parameters and inputs. During the first hours of the growth phase of the process, biomass concentration can be measured online by an optical density sensor, but as cell density increases this method becomes ineffective and biomass measurement is lost. An asymptotic observer is developed to estimate the growth rate for the case without biomass measurement based on corrections made by a pH control loop. Furthermore, an exponential observer based on the biomass measurement is developed to estimate the growth rate during the first hours, which gives the initial condition to the asymptotic observer. Error bounds and robustness to uncertainties in the models and in the inputs are found. The estimation is independent of the kinetic models of the microorganism. The characteristic features of the observer are illustrated by numerical simulations and validated by experimental results.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
Materia
Ingeniería
Bioplastics
Observer
Estimation
PHB
Software sensor
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/136983

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network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production processJamilis Ricaldoni, Martín IgnacioGarelli, FabricioMozumder, Salatul IslamVolcke, EvelineDe Battista, HernánIngenieríaBioplasticsObserverEstimationPHBSoftware sensorThis paper focuses on the specific growth rate estimation problem in a <i>Polyhydroxybutyrate</i> bioplastic production process by industrial fermentation. The kinetics of the process are unknown and there are uncertainties in the model parameters and inputs. During the first hours of the growth phase of the process, biomass concentration can be measured online by an optical density sensor, but as cell density increases this method becomes ineffective and biomass measurement is lost. An asymptotic observer is developed to estimate the growth rate for the case without biomass measurement based on corrections made by a pH control loop. Furthermore, an exponential observer based on the biomass measurement is developed to estimate the growth rate during the first hours, which gives the initial condition to the asymptotic observer. Error bounds and robustness to uncertainties in the models and in the inputs are found. The estimation is independent of the kinetic models of the microorganism. The characteristic features of the observer are illustrated by numerical simulations and validated by experimental results.Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales2015-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf557-567http://sedici.unlp.edu.ar/handle/10915/136983enginfo:eu-repo/semantics/altIdentifier/issn/1615-7605info:eu-repo/semantics/altIdentifier/issn/1615-7591info:eu-repo/semantics/altIdentifier/doi/10.1007/s00449-014-1295-1info:eu-repo/semantics/altIdentifier/pmid/25307471info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:32:32Zoai:sedici.unlp.edu.ar:10915/136983Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:32:32.933SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
title Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
spellingShingle Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
Jamilis Ricaldoni, Martín Ignacio
Ingeniería
Bioplastics
Observer
Estimation
PHB
Software sensor
title_short Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
title_full Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
title_fullStr Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
title_full_unstemmed Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
title_sort Specific growth rate observer for the growing phase of a <i>Polyhydroxybutyrate</i> production process
dc.creator.none.fl_str_mv Jamilis Ricaldoni, Martín Ignacio
Garelli, Fabricio
Mozumder, Salatul Islam
Volcke, Eveline
De Battista, Hernán
author Jamilis Ricaldoni, Martín Ignacio
author_facet Jamilis Ricaldoni, Martín Ignacio
Garelli, Fabricio
Mozumder, Salatul Islam
Volcke, Eveline
De Battista, Hernán
author_role author
author2 Garelli, Fabricio
Mozumder, Salatul Islam
Volcke, Eveline
De Battista, Hernán
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ingeniería
Bioplastics
Observer
Estimation
PHB
Software sensor
topic Ingeniería
Bioplastics
Observer
Estimation
PHB
Software sensor
dc.description.none.fl_txt_mv This paper focuses on the specific growth rate estimation problem in a <i>Polyhydroxybutyrate</i> bioplastic production process by industrial fermentation. The kinetics of the process are unknown and there are uncertainties in the model parameters and inputs. During the first hours of the growth phase of the process, biomass concentration can be measured online by an optical density sensor, but as cell density increases this method becomes ineffective and biomass measurement is lost. An asymptotic observer is developed to estimate the growth rate for the case without biomass measurement based on corrections made by a pH control loop. Furthermore, an exponential observer based on the biomass measurement is developed to estimate the growth rate during the first hours, which gives the initial condition to the asymptotic observer. Error bounds and robustness to uncertainties in the models and in the inputs are found. The estimation is independent of the kinetic models of the microorganism. The characteristic features of the observer are illustrated by numerical simulations and validated by experimental results.
Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales
description This paper focuses on the specific growth rate estimation problem in a <i>Polyhydroxybutyrate</i> bioplastic production process by industrial fermentation. The kinetics of the process are unknown and there are uncertainties in the model parameters and inputs. During the first hours of the growth phase of the process, biomass concentration can be measured online by an optical density sensor, but as cell density increases this method becomes ineffective and biomass measurement is lost. An asymptotic observer is developed to estimate the growth rate for the case without biomass measurement based on corrections made by a pH control loop. Furthermore, an exponential observer based on the biomass measurement is developed to estimate the growth rate during the first hours, which gives the initial condition to the asymptotic observer. Error bounds and robustness to uncertainties in the models and in the inputs are found. The estimation is independent of the kinetic models of the microorganism. The characteristic features of the observer are illustrated by numerical simulations and validated by experimental results.
publishDate 2015
dc.date.none.fl_str_mv 2015-03
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/10915/136983
url http://sedici.unlp.edu.ar/handle/10915/136983
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1615-7605
info:eu-repo/semantics/altIdentifier/issn/1615-7591
info:eu-repo/semantics/altIdentifier/doi/10.1007/s00449-014-1295-1
info:eu-repo/semantics/altIdentifier/pmid/25307471
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
dc.format.none.fl_str_mv application/pdf
557-567
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
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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