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LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter
This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have be...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512632/ https://www.ncbi.nlm.nih.gov/pubmed/34640816 http://dx.doi.org/10.3390/s21196496 |
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author | Sainz, Jose Joaquin Revestido Herrero, Elías Llata, Jose Ramon Gonzalez-Sarabia, Esther Velasco, Francisco J. Rodriguez-Luis, Alvaro Fernandez-Ruano, Sergio Guanche, Raul |
author_facet | Sainz, Jose Joaquin Revestido Herrero, Elías Llata, Jose Ramon Gonzalez-Sarabia, Esther Velasco, Francisco J. Rodriguez-Luis, Alvaro Fernandez-Ruano, Sergio Guanche, Raul |
author_sort | Sainz, Jose Joaquin |
collection | PubMed |
description | This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have begun to be implemented. They try to reduce risks, but they still need to be optimized due to the complexity of the dynamics involved during the sinking process and the contact with the sea bed. A linear approximation of the dynamic model of the caisson is obtained and an LQG control strategy is implemented based on the Kalman filter (KF). The results of the proposed LQG control strategy are compared to the ones given by a classic controller. It is noted that the proposed system is positioned with greater precision and accuracy, as shown in the different simulations and in the Monte Carlo study. Furthermore, the control efforts are less than with classical regulators. For all the reasons cited above, it is concluded that there is a clear improvement in performance with the control system proposed. |
format | Online Article Text |
id | pubmed-8512632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85126322021-10-14 LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter Sainz, Jose Joaquin Revestido Herrero, Elías Llata, Jose Ramon Gonzalez-Sarabia, Esther Velasco, Francisco J. Rodriguez-Luis, Alvaro Fernandez-Ruano, Sergio Guanche, Raul Sensors (Basel) Article This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have begun to be implemented. They try to reduce risks, but they still need to be optimized due to the complexity of the dynamics involved during the sinking process and the contact with the sea bed. A linear approximation of the dynamic model of the caisson is obtained and an LQG control strategy is implemented based on the Kalman filter (KF). The results of the proposed LQG control strategy are compared to the ones given by a classic controller. It is noted that the proposed system is positioned with greater precision and accuracy, as shown in the different simulations and in the Monte Carlo study. Furthermore, the control efforts are less than with classical regulators. For all the reasons cited above, it is concluded that there is a clear improvement in performance with the control system proposed. MDPI 2021-09-29 /pmc/articles/PMC8512632/ /pubmed/34640816 http://dx.doi.org/10.3390/s21196496 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sainz, Jose Joaquin Revestido Herrero, Elías Llata, Jose Ramon Gonzalez-Sarabia, Esther Velasco, Francisco J. Rodriguez-Luis, Alvaro Fernandez-Ruano, Sergio Guanche, Raul LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter |
title | LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter |
title_full | LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter |
title_fullStr | LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter |
title_full_unstemmed | LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter |
title_short | LQG Control for Dynamic Positioning of Floating Caissons Based on the Kalman Filter |
title_sort | lqg control for dynamic positioning of floating caissons based on the kalman filter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512632/ https://www.ncbi.nlm.nih.gov/pubmed/34640816 http://dx.doi.org/10.3390/s21196496 |
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