Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm
The transition towards renewable energy in the marine sector has garnered increasing international focus, with PEMFC (Proton Exchange Membrane Fuel Cell) emerging as a viable low-carbon solution for maritime vessels. This technology is not only limited to small vessels, but also is applicable to the...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Energy and AI |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546824001307 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832585066184704000 |
---|---|
author | Shiyi Fang Daifen Chen Xinyu Fan |
author_facet | Shiyi Fang Daifen Chen Xinyu Fan |
author_sort | Shiyi Fang |
collection | DOAJ |
description | The transition towards renewable energy in the marine sector has garnered increasing international focus, with PEMFC (Proton Exchange Membrane Fuel Cell) emerging as a viable low-carbon solution for maritime vessels. This technology is not only limited to small vessels, but also is applicable to the auxiliary power systems of larger ships. In this paper, a hybrid control scheme based on optimization algorithms and observer are presented. This strategy is designed to enhance the safety and efficiency of stack's operation during navigation. Within the control system, a sliding mode observer monitors system perturbations, ensuring optimal controller performance. The control strategy employs a non-singular fast terminal sliding surface for the controller, integrating a fuzzy logic and particle swarm optimization to tune the sliding mode gain and dynamically regulate output, thereby enhancing system efficiency and minimizing energy consumption. Results indicate that the newly developed control methodology significantly boosts both the efficiency and dependability of marine PEMFC stack. |
format | Article |
id | doaj-art-586258267df34cada8dd21216aa09b73 |
institution | Kabale University |
issn | 2666-5468 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Energy and AI |
spelling | doaj-art-586258267df34cada8dd21216aa09b732025-01-27T04:22:21ZengElsevierEnergy and AI2666-54682025-01-0119100464Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithmShiyi Fang0Daifen Chen1Xinyu Fan2School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaCorresponding authors.; School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaCorresponding authors.; School of Energy and Power, Jiangsu University of Science and Technology, Zhenjiang 212100, ChinaThe transition towards renewable energy in the marine sector has garnered increasing international focus, with PEMFC (Proton Exchange Membrane Fuel Cell) emerging as a viable low-carbon solution for maritime vessels. This technology is not only limited to small vessels, but also is applicable to the auxiliary power systems of larger ships. In this paper, a hybrid control scheme based on optimization algorithms and observer are presented. This strategy is designed to enhance the safety and efficiency of stack's operation during navigation. Within the control system, a sliding mode observer monitors system perturbations, ensuring optimal controller performance. The control strategy employs a non-singular fast terminal sliding surface for the controller, integrating a fuzzy logic and particle swarm optimization to tune the sliding mode gain and dynamically regulate output, thereby enhancing system efficiency and minimizing energy consumption. Results indicate that the newly developed control methodology significantly boosts both the efficiency and dependability of marine PEMFC stack.http://www.sciencedirect.com/science/article/pii/S2666546824001307Marine PEMFC stackIntelligent controllerDecarbonized shipSupply system |
spellingShingle | Shiyi Fang Daifen Chen Xinyu Fan Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm Energy and AI Marine PEMFC stack Intelligent controller Decarbonized ship Supply system |
title | Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm |
title_full | Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm |
title_fullStr | Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm |
title_full_unstemmed | Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm |
title_short | Novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm |
title_sort | novel intelligent adaptive sliding mode control for marine fuel cell system via hybrid algorithm |
topic | Marine PEMFC stack Intelligent controller Decarbonized ship Supply system |
url | http://www.sciencedirect.com/science/article/pii/S2666546824001307 |
work_keys_str_mv | AT shiyifang novelintelligentadaptiveslidingmodecontrolformarinefuelcellsystemviahybridalgorithm AT daifenchen novelintelligentadaptiveslidingmodecontrolformarinefuelcellsystemviahybridalgorithm AT xinyufan novelintelligentadaptiveslidingmodecontrolformarinefuelcellsystemviahybridalgorithm |