中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Discrete Vortex Method-Based Fish-Like Locomotion Modeling

文献类型:期刊论文

作者Zou, Qianqian1,2; Zhou, Chao1,2; Zhu, Chunhui1,2; Zhang, Zhuoliang1,2; Fan, Junfeng1,2
刊名IEEE JOURNAL OF OCEANIC ENGINEERING
出版日期2024-01-17
页码13
关键词Mathematical models Hydrodynamics Robot kinematics Tail Analytical models Shape Kinematics Discrete vortex method (DVM) dynamic modeling robotic fish
ISSN号0364-9059
DOI10.1109/JOE.2023.3338926
通讯作者Zhou, Chao(chao.zhou@ia.ac.cn) ; Fan, Junfeng(junfeng.fan@ia.ac.cn)
英文摘要In nature, fish can achieve efficient swimming through vortex control, which is also a crucial factor in the propulsion of biomimetic robotic fish. Existing analytical models of robotic fish generally do not consider vortices. In addition, numerical methods for solving fluid dynamics are complex and computationally intensive. In this article, based on the discrete vortex method (DVM), the point vortex circulation caused by tail oscillation is calculated and an accurate and efficient dynamic model for robotic fish is established. Specifically, for a single-joint robotic fish, the hydrodynamic forces on the tail are analyzed using the DVM and calculated using the unsteady Bernoulli equation. And for the fish head, the simplified Morison equation is adopted to analyze the inertial forces and drag forces. Then, the dynamics of the entire robotic fish are derived using the Newton-Euler method, allowing for the calculation of position, velocity, forces, and wake circulation at each moment. As a result, the vortex structure obtained from the proposed method exhibits characteristics of a reverse Karman vortex street, similar to previous DPIV results and computational fluid dynamics (CFD) simulations. Furthermore, the simulated speeds closely match the experimental results with an average absolute error of 16.73%, which reduces the error by 2.95% compared to the conventional quasi-steady lift and drag model. Meanwhile, our method requires much less time consumption compared to the CFD method, making it convenient for application in the control and optimization of robotic fish.
WOS关键词ROBOTIC-FISH
资助项目National Natural Science Foundation of China
WOS研究方向Engineering ; Oceanography
语种英语
WOS记录号WOS:001167334600001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/57794]  
专题复杂系统管理与控制国家重点实验室_水下机器人
通讯作者Zhou, Chao; Fan, Junfeng
作者单位1.Chinese Acad Sci, Inst Automat, Lab Cognit & Decis Intelligence Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zou, Qianqian,Zhou, Chao,Zhu, Chunhui,et al. Discrete Vortex Method-Based Fish-Like Locomotion Modeling[J]. IEEE JOURNAL OF OCEANIC ENGINEERING,2024:13.
APA Zou, Qianqian,Zhou, Chao,Zhu, Chunhui,Zhang, Zhuoliang,&Fan, Junfeng.(2024).Discrete Vortex Method-Based Fish-Like Locomotion Modeling.IEEE JOURNAL OF OCEANIC ENGINEERING,13.
MLA Zou, Qianqian,et al."Discrete Vortex Method-Based Fish-Like Locomotion Modeling".IEEE JOURNAL OF OCEANIC ENGINEERING (2024):13.

入库方式: OAI收割

来源:自动化研究所

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