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dc.contributor.author
Alamo, Teodoro
dc.contributor.author
Ferramosca, Antonio
dc.contributor.author
González, Alejandro Hernán
dc.contributor.author
Limón, Daniel
dc.contributor.author
Odloak, Darci
dc.date.available
2016-12-13T14:21:14Z
dc.date.issued
2014-01
dc.identifier.citation
Alamo, Teodoro; Ferramosca, Antonio; González, Alejandro Hernán; Limón, Daniel; Odloak, Darci; A gradient-based strategy for the one-layer RTO+MPC controller; Elsevier; Journal Of Process Control; 24; 4; 1-2014; 435-447
dc.identifier.issn
0959-1524
dc.identifier.uri
http://hdl.handle.net/11336/9246
dc.description.abstract
In the process industries model predictive controllers (MPC) have the task of controlling the plant ensuring stability and constraints satisfaction, while an economic cost is minimized. Usually the economicobjective is optimized by an upper level Real Time Optimizer (RTO) that passes the economically optimalsetpoints to the MPC level. The drawback of this structure is the possible inconsistence/unreachabilityof those setpoints, due to the different models employed by the RTO and the MPC, as well as their dif-ferent time scales. In this paper an MPC that explicitly integrates the RTO structure into the dynamiccontrol layer is presented. To overcome the complexity of this one-layer formulation a gradient-basedapproximation is proposed, which provides a low-computational-cost suboptimal solution.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Model Predictive Control
dc.subject
Real Time Optimization
dc.subject
Economic Objectives
dc.subject
Stability
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
Otras Ingenierías y Tecnologías
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A gradient-based strategy for the one-layer RTO+MPC controller
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2016-12-12T13:47:42Z
dc.journal.volume
24
dc.journal.number
4
dc.journal.pagination
435-447
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Alamo, Teodoro. Universidad de Sevilla. Departamento de Ingenieria de Sistemas y Automatica; España
dc.description.fil
Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina
dc.description.fil
Fil: González, Alejandro Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
dc.description.fil
Fil: Limón, Daniel. Universidad de Sevilla. Departamento de Ingenieria de Sistemas y Automatica; España
dc.description.fil
Fil: Odloak, Darci. Universidade de Sao Paulo; Brasil
dc.journal.title
Journal Of Process Control
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jprocont.2014.02.018
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0959152414000717
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