| Intelligent control of the Magnus anti-rolling device: A co-simulation approach | |
Lin JF(林健峰)1,2; Wang SZ(王士召)1,4 ; Yao, Huadong3; Su, Yumin2
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| Corresponding Author | Wang, Shizhao([email protected]) |
| Source Publication | OCEAN ENGINEERING
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| 2024-11-15 | |
| Volume | 312Pages:16 |
| ISSN | 0029-8018 |
| Abstract | In this study, we present an artificial intelligence control method specifically designed for the Magnus anti- rolling device. The core of our approach is the development of a co-simulation framework that integrates an intelligent algorithm with a three-dimensional numerical computational programme within a complex hydrodynamic environment. This integration is achieved through the use of a deep reinforcement learning algorithm, which allows for intelligent adaptation of the anti-rolling device's rotating speed in real time. Our research focuses on evaluating the performance of the intelligent anti-rolling control algorithm under a variety of conditions, including different ship-model roll angles, column geometry models, and varying swinging or slewing speeds. Through numerical studies, we compare the effects of these variables on the effectiveness of the control method. The co-simulation technology provides a platform for testing the intelligent control method. It allows a detailed examination of how the intelligent algorithm interacts with the hydrodynamic responses of the Magnus anti-rolling device, ensuring that the control method can adapt to a wide range of operational scenarios. This adaptability is crucial for maintaining stability and improving the performance of the anti-rolling device in real maritime environments. This study highlights the potential for integrating artificial intelligence with traditional maritime engineering solutions. |
| Keyword | Anti-rolling device Intelligent control Numerical simulation Magnus effect Hydrodynamic response |
| DOI | 10.1016/j.oceaneng.2024.119304 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001322619300001 |
| WOS Keyword | CIRCULAR-CYLINDER ; FLOW ; WAKE ; LES |
| WOS Research Area | Engineering ; Oceanography |
| WOS Subject | Engineering, Marine ; Engineering, Civil ; Engineering, Ocean ; Oceanography |
| Funding Project | NSFC Basic Science Centre Programme for 'Multiscale Problems in Nonlinear Mechanics'[11988102] ; Postdoctoral Fellowship Program of CPSF[GZB20240773] ; National Natural Science Foundation of China[92252203] ; Chinese Academy of Sciences Project for Young Scientists in Basic Research[YSBR-087] ; Strategic Priority Research Programme of Chinese Academy of Sciences[XDB0620102] ; LIGHTHOUSE (Swedish Maritime Competence Centre)[FS24_2022/Hallbarsjofart] |
| Funding Organization | NSFC Basic Science Centre Programme for 'Multiscale Problems in Nonlinear Mechanics' ; Postdoctoral Fellowship Program of CPSF ; National Natural Science Foundation of China ; Chinese Academy of Sciences Project for Young Scientists in Basic Research ; Strategic Priority Research Programme of Chinese Academy of Sciences ; LIGHTHOUSE (Swedish Maritime Competence Centre) |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Wang, Shizhao |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/96872 |
| Collection | 非线性力学国家重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China; 2.Harbin Engn Univ, Coll Shipbldg Engn, Harbin 150001, Peoples R China; 3.Chalmers Univ Technol, Dept Mech & Maritime Sci, S-41296 Gothenburg, Sweden; 4.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China |
| Recommended Citation GB/T 7714 | Lin JF,Wang SZ,Yao, Huadong,et al. Intelligent control of the Magnus anti-rolling device: A co-simulation approach[J]. OCEAN ENGINEERING,2024,312:16.Rp_Au:Wang, Shizhao |
| APA | 林健峰,王士召,Yao, Huadong,&Su, Yumin.(2024).Intelligent control of the Magnus anti-rolling device: A co-simulation approach.OCEAN ENGINEERING,312,16. |
| MLA | 林健峰,et al."Intelligent control of the Magnus anti-rolling device: A co-simulation approach".OCEAN ENGINEERING 312(2024):16. |
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