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Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System

[Image: see text] A three-tank process has difficulty in controller design because of nonlinear flow and interactions between tanks. This paper addresses the design methodology of the model-predictive controller (MPC) for the three-tank system. The control performance of the proposed MPC controller...

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Autor principal: Kortela, Jukka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178774/
https://www.ncbi.nlm.nih.gov/pubmed/35694502
http://dx.doi.org/10.1021/acsomega.2c01275
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author Kortela, Jukka
author_facet Kortela, Jukka
author_sort Kortela, Jukka
collection PubMed
description [Image: see text] A three-tank process has difficulty in controller design because of nonlinear flow and interactions between tanks. This paper addresses the design methodology of the model-predictive controller (MPC) for the three-tank system. The control performance of the proposed MPC controller is compared with the proportional plus integral (PI) controller by both simulations and experiments on the real three-tank pilot with the industrial ABB 800xA automation system. The MPC controller shows a faster response for the two tanks: In the simulation, the settling times are about 120 s for both tanks of the MPC controller. On the other hand, the settling times for the PI controller are about 200 s for the first tank and 150 s for the second tank. The experiments confirm these results.
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spelling pubmed-91787742022-06-10 Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System Kortela, Jukka ACS Omega [Image: see text] A three-tank process has difficulty in controller design because of nonlinear flow and interactions between tanks. This paper addresses the design methodology of the model-predictive controller (MPC) for the three-tank system. The control performance of the proposed MPC controller is compared with the proportional plus integral (PI) controller by both simulations and experiments on the real three-tank pilot with the industrial ABB 800xA automation system. The MPC controller shows a faster response for the two tanks: In the simulation, the settling times are about 120 s for both tanks of the MPC controller. On the other hand, the settling times for the PI controller are about 200 s for the first tank and 150 s for the second tank. The experiments confirm these results. American Chemical Society 2022-05-20 /pmc/articles/PMC9178774/ /pubmed/35694502 http://dx.doi.org/10.1021/acsomega.2c01275 Text en © 2022 The Author. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Kortela, Jukka
Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System
title Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System
title_full Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System
title_fullStr Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System
title_full_unstemmed Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System
title_short Model-Predictive Control for the Three-Tank System Utilizing an Industrial Automation System
title_sort model-predictive control for the three-tank system utilizing an industrial automation system
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9178774/
https://www.ncbi.nlm.nih.gov/pubmed/35694502
http://dx.doi.org/10.1021/acsomega.2c01275
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