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Marine Predator Algorithm-based Sliding Mode Control of a Novel Motion Simulator for High Column Sloshing Experiments
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Zun-feng DU1, Xiang-yu CHEN2, Hao BAI3, Hai-ming ZHU1, Mu-xuan HAN1
Journal of Ship Mechanics | 2024, 28(12) : 1835 - 1848
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Journal of Ship Mechanics | 2024, 28(12): 1835-1848
• Hydrodynamics •
Marine Predator Algorithm-based Sliding Mode Control of a Novel Motion Simulator for High Column Sloshing Experiments
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Zun-feng DU1, Xiang-yu CHEN2, Hao BAI3, Hai-ming ZHU1, Mu-xuan HAN1
Affiliations
  • 1.State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, School of Civil Engineering, Tianjin University, Tianjin 300350, China
  • 2.Power China Northwest Engineering Corporation Limited, Xi’an 710065, China
  • 3.Nanhai Engineering Branch, CNOOC Energy Development Equipment Technology Co., Ltd., Zhanjiang 524057, China

    • DU Zun-feng(1984-), male, ph.D., associate professor

    CHEN Xiang-yu(1997-), female, master, assistant engineer

    BAI Hao(1986-), male, senior engineer

    ZHU Hai-ming(1992-), male, Ph.D., assistant research fellow

    HAN Mu-xuan(1996-), female, Ph.D. candidate, corresponding author, E-mail: .

Published: 2024-12-20 doi: 10.3969/j.issn.1007-7294.2024.12.003
Outline
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Sloshing experiment is crucial to determine the reaction performance of regeneration columns on an offshore floating platform. A novel type of column motion simulating device and a Marine Predator Algorithm-based Sliding Mode Controller (MPA-SMC) are proposed for such sloshing experiments. The simulator consists of a Stewart platform and a steel framework. The Stewart platform is located at the column's center of gravity (CoG) and supported by the steel framework. The platform's hydraulic servo system is controlled by a sliding mode controller with parameters optimized by MPA to improve robustness and precision. A numerical sloshing experiment is conducted using the proposed device and controller. The results show that the novel motion simulator has lower torque during the column sloshes, and the proposed controller performs better than a well-tuned PID controller in terms of target tracking precision and anti-interference capability.

regeneration column  /  sloshing experiment  /  motion simulator  /  Stewart platform  /  sliding mode control  /  marine predator algorithm
Zun-feng DU, Xiang-yu CHEN, Hao BAI, Hai-ming ZHU, Mu-xuan HAN. Marine Predator Algorithm-based Sliding Mode Control of a Novel Motion Simulator for High Column Sloshing Experiments[J]. Journal of Ship Mechanics, 2024 , 28 (12) : 1835 -1848 . DOI: 10.3969/j.issn.1007-7294.2024.12.003
Funding
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  • National Key Research and Development Program of China(2022YFC2806300)
  • National Natural Science Foundation of China(51109158)
  • Transportation Science and Technology Development Project of Tianjin(2022-48)
  • Tianjin University Graduate Education Special Found 2021 Projects(C1-2021-004)
  • Tianjin Research Innovation Project for Postgraduate Students(2022BKY077)
Appendix
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Year 2024 volume 28 Issue 12
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105
44
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Article Info
doi: 10.3969/j.issn.1007-7294.2024.12.003
  • Receive Date：2024-06-22
  • Online Date：2026-03-26
  • Published：2024-12-20
Article Data
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History
  • Received：2024-06-22
Funding
National Key Research and Development Program of China(2022YFC2806300)
National Natural Science Foundation of China(51109158)
Transportation Science and Technology Development Project of Tianjin(2022-48)
Tianjin University Graduate Education Special Found 2021 Projects(C1-2021-004)
Tianjin Research Innovation Project for Postgraduate Students(2022BKY077)
Affiliations
    1.State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, School of Civil Engineering, Tianjin University, Tianjin 300350, China
    2.Power China Northwest Engineering Corporation Limited, Xi’an 710065, China
    3.Nanhai Engineering Branch, CNOOC Energy Development Equipment Technology Co., Ltd., Zhanjiang 524057, China

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Corresponding author, E-mail:
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
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Genus		 种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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