Adaptive multi-model predictive control applied to continuous stirred tank reactor

This paper investigates the design of a Model Predictive Control ( MPC ) formulation for the case of poly- topic multi-model system representation. An adaptive MPC is developed taking into account the schedul- ing parameters in the multi-model and a terminal invariant set for all the systems that ar...

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Autores principales: Pipino, Hugo, Cappelletti, Carlos A., Adam, Eduardo J.
Formato: Artículo publisherVersion
Lenguaje:Inglés
Inglés
Publicado: 2024
Materias:
Model predictive control
Multi-model systems
Stability
Feasibility
CSTR
Acceso en línea:http://hdl.handle.net/20.500.12272/11234
Aporte de:
RIA - Repositorio Institucional Abierto (UTN) de Universidad Tecnológica Nacional
id I68-R174-20.500.12272-11234
record_format dspace
spelling I68-R174-20.500.12272-112342024-08-05T18:36:44Z Adaptive multi-model predictive control applied to continuous stirred tank reactor Pipino, Hugo Cappelletti, Carlos A. Adam, Eduardo J. Model predictive control Multi-model systems Stability Feasibility CSTR This paper investigates the design of a Model Predictive Control ( MPC ) formulation for the case of poly- topic multi-model system representation. An adaptive MPC is developed taking into account the schedul- ing parameters in the multi-model and a terminal invariant set for all the systems that are within the system polytope. This proposed method uses a virtual model-process tuning variable, which is optimized to find the best Linear Time Invariant ( LTI ) prediction sequence for the horizon, based on the LTI vertices of the polytopic system. Finally, the proposed adaptive MPC is applied to a continuous stirred tank reac- tor (CSTR) system. Discussions are set upon the a-priori design procedure, the online computational effort and application difficulties. Fil: Pipino, Hugo. Universidad Tecnológica Nacional. Facultad Regional San Francisco; Argentina. Fil: Cappelletti, Carlos A. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina Fil: Adam, Eduardo J. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina. Peer Reviewed 2024-08-05T18:36:44Z 2024-08-05T18:36:44Z 2021-02-06 info:eu-repo/semantics/article publisherVersion Computers & Chemical Engineering 0098-1354 http://hdl.handle.net/20.500.12272/11234 10.1016/j.compchemeng.2020.107195 eng eng embargoedAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ Attribution-NonCommercial-NoDerivatives 4.0 Internacional . pdf Internacional Computers & Chemical Engineering 145, 107195 (2021).
institution Universidad Tecnológica Nacional
institution_str I-68
repository_str R-174
collection RIA - Repositorio Institucional Abierto (UTN)
language Inglés
Inglés
topic Model predictive control
Multi-model systems
Stability
Feasibility
CSTR
spellingShingle Model predictive control
Multi-model systems
Stability
Feasibility
CSTR
Pipino, Hugo
Cappelletti, Carlos A.
Adam, Eduardo J.
Adaptive multi-model predictive control applied to continuous stirred tank reactor
topic_facet Model predictive control
Multi-model systems
Stability
Feasibility
CSTR
description This paper investigates the design of a Model Predictive Control ( MPC ) formulation for the case of poly- topic multi-model system representation. An adaptive MPC is developed taking into account the schedul- ing parameters in the multi-model and a terminal invariant set for all the systems that are within the system polytope. This proposed method uses a virtual model-process tuning variable, which is optimized to find the best Linear Time Invariant ( LTI ) prediction sequence for the horizon, based on the LTI vertices of the polytopic system. Finally, the proposed adaptive MPC is applied to a continuous stirred tank reac- tor (CSTR) system. Discussions are set upon the a-priori design procedure, the online computational effort and application difficulties.
format Artículo
publisherVersion
author Pipino, Hugo
Cappelletti, Carlos A.
Adam, Eduardo J.
author_facet Pipino, Hugo
Cappelletti, Carlos A.
Adam, Eduardo J.
author_sort Pipino, Hugo
title Adaptive multi-model predictive control applied to continuous stirred tank reactor
title_short Adaptive multi-model predictive control applied to continuous stirred tank reactor
title_full Adaptive multi-model predictive control applied to continuous stirred tank reactor
title_fullStr Adaptive multi-model predictive control applied to continuous stirred tank reactor
title_full_unstemmed Adaptive multi-model predictive control applied to continuous stirred tank reactor
title_sort adaptive multi-model predictive control applied to continuous stirred tank reactor
publishDate 2024
url http://hdl.handle.net/20.500.12272/11234
work_keys_str_mv AT pipinohugo adaptivemultimodelpredictivecontrolappliedtocontinuousstirredtankreactor
AT cappelletticarlosa adaptivemultimodelpredictivecontrolappliedtocontinuousstirredtankreactor
AT adameduardoj adaptivemultimodelpredictivecontrolappliedtocontinuousstirredtankreactor
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