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Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties

In this paper, a new finite-time robust controller is designed for the ship heading (course) control systems with unknown mismatched external disturbances and uncertainties to fulfil trajectory tracking task. The adaptive method is utilised to estimate the upper bound of these mismatched disturbance...

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Main Authors: Hosseinabadi, Pooyan Alinaghi, Abadi, Ali Soltani Sharif, Mekhilef, Saad
Format: Article
Published: Inderscience Publishers 2022
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.um.edu.my/43380/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130090883&doi=10.1504%2fIJAAC.2022.122596&partnerID=40&md5=9a1b9ebc1764531e5ea9ff3d624dc160
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spelling my.um.eprints.433802023-10-20T04:02:27Z http://eprints.um.edu.my/43380/ Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties Hosseinabadi, Pooyan Alinaghi Abadi, Ali Soltani Sharif Mekhilef, Saad QA75 Electronic computers. Computer science In this paper, a new finite-time robust controller is designed for the ship heading (course) control systems with unknown mismatched external disturbances and uncertainties to fulfil trajectory tracking task. The adaptive method is utilised to estimate the upper bound of these mismatched disturbances and uncertainties. Meanwhile, the fuzzy logic is employed to enhance the tracking performance. In short, the fuzzy controller, adaptive, finite-time stability concepts and sliding mode control (SMC) scheme have been incorporated to propose fuzzy adaptive finite-time SMC (FAFSMC) scheme to utilise their benefits and to compensate the shortages of applying them individually. The finite-time stability analysis is investigated by utilising the Lyapunov stability theory. The simulation results are carried out for the proposed fuzzy scheme and five other existing non-fuzzy schemes including simple, classical, cubic, hexagonal, and switching to reveal the effectiveness of the proposed scheme compared to the other five schemes. Copyright © 2022 Inderscience Enterprises Ltd. Inderscience Publishers 2022 Article PeerReviewed Hosseinabadi, Pooyan Alinaghi and Abadi, Ali Soltani Sharif and Mekhilef, Saad (2022) Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties. International Journal of Automation and Control, 16 (3-4). 255 – 271. ISSN 1740-7516, https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130090883&doi=10.1504%2fIJAAC.2022.122596&partnerID=40&md5=9a1b9ebc1764531e5ea9ff3d624dc160
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Hosseinabadi, Pooyan Alinaghi
Abadi, Ali Soltani Sharif
Mekhilef, Saad
Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
description In this paper, a new finite-time robust controller is designed for the ship heading (course) control systems with unknown mismatched external disturbances and uncertainties to fulfil trajectory tracking task. The adaptive method is utilised to estimate the upper bound of these mismatched disturbances and uncertainties. Meanwhile, the fuzzy logic is employed to enhance the tracking performance. In short, the fuzzy controller, adaptive, finite-time stability concepts and sliding mode control (SMC) scheme have been incorporated to propose fuzzy adaptive finite-time SMC (FAFSMC) scheme to utilise their benefits and to compensate the shortages of applying them individually. The finite-time stability analysis is investigated by utilising the Lyapunov stability theory. The simulation results are carried out for the proposed fuzzy scheme and five other existing non-fuzzy schemes including simple, classical, cubic, hexagonal, and switching to reveal the effectiveness of the proposed scheme compared to the other five schemes. Copyright © 2022 Inderscience Enterprises Ltd.
format Article
author Hosseinabadi, Pooyan Alinaghi
Abadi, Ali Soltani Sharif
Mekhilef, Saad
author_facet Hosseinabadi, Pooyan Alinaghi
Abadi, Ali Soltani Sharif
Mekhilef, Saad
author_sort Hosseinabadi, Pooyan Alinaghi
title Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
title_short Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
title_full Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
title_fullStr Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
title_full_unstemmed Fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
title_sort fuzzy adaptive finite-time sliding mode controller for trajectory tracking of ship course systems with mismatched uncertainties
publisher Inderscience Publishers
publishDate 2022
url http://eprints.um.edu.my/43380/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130090883&doi=10.1504%2fIJAAC.2022.122596&partnerID=40&md5=9a1b9ebc1764531e5ea9ff3d624dc160
_version_ 1781704675240706048
score 13.211869

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