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dc.contributor.author
Fernández Puchol, María Cecilia
dc.contributor.author
Pantano, Maria Nadia
dc.contributor.author
Serrano, Mario Emanuel
dc.contributor.author
Scaglia, Gustavo Juan Eduardo
dc.date.available
2021-09-28T15:01:24Z
dc.date.issued
2020-01
dc.identifier.citation
Fernández Puchol, María Cecilia; Pantano, Maria Nadia; Serrano, Mario Emanuel; Scaglia, Gustavo Juan Eduardo; Multivariable Tracking Control of a Bioethanol Process under Uncertainties; Hindawi Publishing Corporation; Mathematical Problems in Engineering; 2020; 1-2020; 1-17
dc.identifier.issn
1563-5147
dc.identifier.uri
http://hdl.handle.net/11336/141718
dc.description.abstract
Bioethanol is one of the most studied alternative fuels nowadays. Due to its production process complexity and the low quality of the mathematical models that describe it, a reliable controller is needed to maximize the fuel production and minimize its environmental impact, even in the presence of uncertainty. Here, a controller for tracking optimal profiles considering model errors and external perturbations is proposed. This work is an improvement of a previously presented technique. To reduce the earlier mentioned uncertainties' effect during the fermentation, some tracking error integrators are added in the control action calculation. This simple modification ensures the tracking error convergence to zero, even in the presence of uncertainties (demonstration available). Different tests are carried out and a performance comparison with the original controller is shown to highlight improvements in the tracking error of up to 98% when integrators are incorporated. Furthermore, a classical PI controller is contrasted with the proposed techniques.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Hindawi Publishing Corporation
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
Tracking Control
dc.subject
Bioethanol
dc.subject
Process Control
dc.subject
Uncertainties
dc.subject.classification
Ingeniería de Procesos Químicos
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Multivariable Tracking Control of a Bioethanol Process under Uncertainties
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-09-06T20:38:14Z
dc.identifier.eissn
1024-123X
dc.journal.volume
2020
dc.journal.pagination
1-17
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Fernández Puchol, María Cecilia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.description.fil
Fil: Pantano, Maria Nadia. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.description.fil
Fil: Serrano, Mario Emanuel. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.description.fil
Fil: Scaglia, Gustavo Juan Eduardo. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
dc.journal.title
Mathematical Problems in Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.hindawi.com/journals/mpe/2020/8263690/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1155/2020/8263690
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