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A Robust Control via a Fuzzy System with PID for the ROV

Uncertainty and nonlinearity in the depth control of remotely operated vehicles (ROVs) have been widely studied, especially in complex underwater environments. To improve the motion performance of ROVs and enhance their robustness, the model of ROV depth control in complex water environments was dev...

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Autores principales: Dong, Junjie, Duan, Xingguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861784/
https://www.ncbi.nlm.nih.gov/pubmed/36679618
http://dx.doi.org/10.3390/s23020821
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author Dong, Junjie
Duan, Xingguang
author_facet Dong, Junjie
Duan, Xingguang
author_sort Dong, Junjie
collection PubMed
description Uncertainty and nonlinearity in the depth control of remotely operated vehicles (ROVs) have been widely studied, especially in complex underwater environments. To improve the motion performance of ROVs and enhance their robustness, the model of ROV depth control in complex water environments was developed. The developed control scheme of interval type-2 fuzzy proportional–integral–derivative control (IT2FPID) is based on proportional–integral–derivative control (PID) and interval type-2 fuzzy logic control (IT2FLC). The performance indicators were used to evaluate the immunity of the controller type to external disturbances. The overshoot of 0.3% and settling time of 7.5 s of IT2FPID seem to be more robust compared to those of type-1 fuzzy proportional–integral–derivative (T1FPID) and PID.
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spelling pubmed-98617842023-01-22 A Robust Control via a Fuzzy System with PID for the ROV Dong, Junjie Duan, Xingguang Sensors (Basel) Article Uncertainty and nonlinearity in the depth control of remotely operated vehicles (ROVs) have been widely studied, especially in complex underwater environments. To improve the motion performance of ROVs and enhance their robustness, the model of ROV depth control in complex water environments was developed. The developed control scheme of interval type-2 fuzzy proportional–integral–derivative control (IT2FPID) is based on proportional–integral–derivative control (PID) and interval type-2 fuzzy logic control (IT2FLC). The performance indicators were used to evaluate the immunity of the controller type to external disturbances. The overshoot of 0.3% and settling time of 7.5 s of IT2FPID seem to be more robust compared to those of type-1 fuzzy proportional–integral–derivative (T1FPID) and PID. MDPI 2023-01-10 /pmc/articles/PMC9861784/ /pubmed/36679618 http://dx.doi.org/10.3390/s23020821 Text en © 2023 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
Dong, Junjie
Duan, Xingguang
A Robust Control via a Fuzzy System with PID for the ROV
title A Robust Control via a Fuzzy System with PID for the ROV
title_full A Robust Control via a Fuzzy System with PID for the ROV
title_fullStr A Robust Control via a Fuzzy System with PID for the ROV
title_full_unstemmed A Robust Control via a Fuzzy System with PID for the ROV
title_short A Robust Control via a Fuzzy System with PID for the ROV
title_sort robust control via a fuzzy system with pid for the rov
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861784/
https://www.ncbi.nlm.nih.gov/pubmed/36679618
http://dx.doi.org/10.3390/s23020821
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