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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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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. |
format | Online Article Text |
id | pubmed-9178774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kortelajukka modelpredictivecontrolforthethreetanksystemutilizinganindustrialautomationsystem |