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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/123847
Ver los metadatos del registro completo
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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 |
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/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 |
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SEDICI (UNLP) - Universidad Nacional de La Plata |
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