Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1784874928241115136 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9861784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dongjunjie arobustcontrolviaafuzzysystemwithpidfortherov AT duanxingguang arobustcontrolviaafuzzysystemwithpidfortherov AT dongjunjie robustcontrolviaafuzzysystemwithpidfortherov AT duanxingguang robustcontrolviaafuzzysystemwithpidfortherov |