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CONICET Digital
Article . 2013
License: CC BY NC SA
Data sources: CONICET Digital
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Evaluación de factibilidad de mejoras empleando control predictivo basado en modelos en reactores de biodiésel

Authors: Gamalero, Marcelo; Luppi, Patricio Alfredo; Basualdo, Marta Susana;

Evaluación de factibilidad de mejoras empleando control predictivo basado en modelos en reactores de biodiésel

Abstract

La producción de biocombustibles, en especial de biodiesel, es un proceso costoso y que requiere especial cuidado en el control de cada una de las etapas de obtención del mismo. Es una práctica habitual el uso de controladores convencionales como el PID, sin embargo los sistemas comerciales hoy ofrecen la oportunidad de incorporar otros controladores que mejoran notablemente el desempeño del comportamiento a lazo cerrado del sistema. En este contexto, se presentarán los ensayos preliminares realizados con diferentes estructuras de control sobre el reactor tales como feedforward, cascada, compensador de tiempo muerto (compensador Smith) y con particular énfasis, control predictivo basado en modelos (Model Based Predictive Control, MPC). La primera etapa requiere disponer del modelo dinámico de un reactor de biodiésel que se implemente para simular los diferentes escenarios en que deberá funcionar. El concepto es que el mismo sea capaz de adaptarse a las condiciones operativas específicas de plantas con diferente capacidad operativa. Es importante explotar la capacidad de simulación que poseen los controladores comerciales para disponer de una herramienta eficiente para la toma de decisiones. Se mostrarán los resultados alcanzados empleando plataformas académicas de diseño y su posterior configuración en el controlador comercial PCS7 de Siemens.

Fil: Luppi, Patricio Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - Conicet - Rosario. Instituto Rosario de Investigaciones En Ciencias de la Educación; Argentina; Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; Argentina;

Fil: Basualdo, Marta Susana. Universidad Tecnológica Nacional. Regional Rosario; Argentina; Consejo Nacional de Invest.cientif.y Tecnicas. Centro Cientifico Tecnol.conicet - Rosario. Centro Int.franco Arg.d/cs D/l/inf.y Sistem.;

Fil: Gamalero, Marcelo. Universidad Nacional de Rosario. Facultad de Cs.exactas Ingenieria y Agrimensura; Argentina;

Country
Argentina
Keywords

EVALUACION DE DESEMPEÑO, https://purl.org/becyt/ford/2.2, https://purl.org/becyt/ford/2, CONTROL PREDICTIVO BASADO EN MODELO, REACTOR DE BIODIESEL

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green