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Maneuverability prediction of channel-type unmanned catamarans
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Dong-yu LIU, Xiao-peng GAO, Cong HUO
Journal of Ship Mechanics | 2024, 28(4) : 501 - 512
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Journal of Ship Mechanics | 2024, 28(4): 501-512
Hydrodynamics
Maneuverability prediction of channel-type unmanned catamarans
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Dong-yu LIU, Xiao-peng GAO, Cong HUO
Affiliations
  • Naval University of Engineering, Wuhan 430000, China
Published: 2024-04-20 doi: 10.3969/j.issn.1007-7294.2024.04.003
Outline
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Path planning is one of the key technologies for autonomous navigation of unmanned vehicles. A good path planning method is of great significance to the intelligent development of unmanned vehicles. In the existing path planning research, the maneuvering performance of unmanned vehicles is not considered. In order to make the planned path have shorter voyage time, shorter path length and better path tracking ability, it is necessary to combine the maneuvering performance of unmanned vehicles with the path planning algorithm. In order to accurately predict the ship maneuverability, the channel-type unmanned catamaran was taken as the research object, and simulation tests of three planar motion mechanisms were carried out by CFD technology. Simulation results were fitted with different hydrodynamic models, and corresponding hydrodynamic derivatives were calculated. The MMG model was used to establish a mathematical model of ship maneuvering motion to simulate the turning motion and Z-shape motion of the unmanned catamaran. The influence of different hydrodynamic models on the simulation results was analyzed, and the maneuvering pre-diction of the unmanned catamaran was realized.

MMG model  /  hydrodynamic derivative  /  maneuvering performance  /  unmanned catamaran
Dong-yu LIU, Xiao-peng GAO, Cong HUO. Maneuverability prediction of channel-type unmanned catamarans[J]. Journal of Ship Mechanics, 2024 , 28 (4) : 501 -512 . DOI: 10.3969/j.issn.1007-7294.2024.04.003
Year 2024 volume 28 Issue 4
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doi: 10.3969/j.issn.1007-7294.2024.04.003
  • Receive Date:2023-10-24
  • Online Date:2026-03-21
  • Published:2024-04-20
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  • Received:2023-10-24
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    Naval University of Engineering, Wuhan 430000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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