Optimized Hydrodynamic Design for Autonomous Underwater Vehicles
In this study, the drag coefficient and lift-to-drag ratio variation with angle of attack and velocity are analyzed by numerical simulation of the hydrodynamics of the initial shape of an autonomous underwater vehicle (AUV). Based on this, the response surface method (RSM) and multi-objective geneti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Machines |
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| Online Access: | https://www.mdpi.com/2075-1702/13/3/194 |
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| author | Gang Fan Xiaojin Liu Yanan Hao Guoling Yin Long He |
| author_facet | Gang Fan Xiaojin Liu Yanan Hao Guoling Yin Long He |
| author_sort | Gang Fan |
| collection | DOAJ |
| description | In this study, the drag coefficient and lift-to-drag ratio variation with angle of attack and velocity are analyzed by numerical simulation of the hydrodynamics of the initial shape of an autonomous underwater vehicle (AUV). Based on this, the response surface method (RSM) and multi-objective genetic algorithm (MOGA) are used to optimize the geometric parameters of the shape, aiming to improve the lift-to-drag ratio and reduce the mass. In the study, a second-order response surface model was constructed to analyze the relationship between the target variables and the structural geometric parameters, and the MOGA algorithm effectively searched for the globally optimal solution. The optimization results show that the lift-to-drag ratio is increased from 0.684 to 0.778 and the mass of the shell is reduced from 26.6 kg to 24.06 kg, which significantly improves the hydrodynamic performance of the AUV. The optimization method not only improves the performance of the AUV, but also provides a valuable reference for its hydrodynamic design, which has a good application prospect. |
| format | Article |
| id | doaj-art-8ec1af3c0da24f33b88eb7a4e6ff7723 |
| institution | DOAJ |
| issn | 2075-1702 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-8ec1af3c0da24f33b88eb7a4e6ff77232025-08-20T02:42:25ZengMDPI AGMachines2075-17022025-02-0113319410.3390/machines13030194Optimized Hydrodynamic Design for Autonomous Underwater VehiclesGang Fan0Xiaojin Liu1Yanan Hao2Guoling Yin3Long He4Department of Electrical Engineering, Taiyuan Institute of Technology, Taiyuan 030008, ChinaDepartment of Electrical Engineering, Taiyuan Institute of Technology, Taiyuan 030008, ChinaDepartment of Electrical Engineering, Taiyuan Institute of Technology, Taiyuan 030008, ChinaDepartment of Electrical Engineering, Taiyuan Institute of Technology, Taiyuan 030008, ChinaSchool of Mechanical and Electrical Engineering, North University of China, Taiyuan 030051, ChinaIn this study, the drag coefficient and lift-to-drag ratio variation with angle of attack and velocity are analyzed by numerical simulation of the hydrodynamics of the initial shape of an autonomous underwater vehicle (AUV). Based on this, the response surface method (RSM) and multi-objective genetic algorithm (MOGA) are used to optimize the geometric parameters of the shape, aiming to improve the lift-to-drag ratio and reduce the mass. In the study, a second-order response surface model was constructed to analyze the relationship between the target variables and the structural geometric parameters, and the MOGA algorithm effectively searched for the globally optimal solution. The optimization results show that the lift-to-drag ratio is increased from 0.684 to 0.778 and the mass of the shell is reduced from 26.6 kg to 24.06 kg, which significantly improves the hydrodynamic performance of the AUV. The optimization method not only improves the performance of the AUV, but also provides a valuable reference for its hydrodynamic design, which has a good application prospect.https://www.mdpi.com/2075-1702/13/3/194AUVshape optimizationmulti-objective optimizationresponse surface method |
| spellingShingle | Gang Fan Xiaojin Liu Yanan Hao Guoling Yin Long He Optimized Hydrodynamic Design for Autonomous Underwater Vehicles Machines AUV shape optimization multi-objective optimization response surface method |
| title | Optimized Hydrodynamic Design for Autonomous Underwater Vehicles |
| title_full | Optimized Hydrodynamic Design for Autonomous Underwater Vehicles |
| title_fullStr | Optimized Hydrodynamic Design for Autonomous Underwater Vehicles |
| title_full_unstemmed | Optimized Hydrodynamic Design for Autonomous Underwater Vehicles |
| title_short | Optimized Hydrodynamic Design for Autonomous Underwater Vehicles |
| title_sort | optimized hydrodynamic design for autonomous underwater vehicles |
| topic | AUV shape optimization multi-objective optimization response surface method |
| url | https://www.mdpi.com/2075-1702/13/3/194 |
| work_keys_str_mv | AT gangfan optimizedhydrodynamicdesignforautonomousunderwatervehicles AT xiaojinliu optimizedhydrodynamicdesignforautonomousunderwatervehicles AT yananhao optimizedhydrodynamicdesignforautonomousunderwatervehicles AT guolingyin optimizedhydrodynamicdesignforautonomousunderwatervehicles AT longhe optimizedhydrodynamicdesignforautonomousunderwatervehicles |