中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Toward Swimming Speed Optimization of a Multi-Flexible Robotic Fish With Low Cost of Transport

文献类型:期刊论文

作者Lu, Ben1,2; Zhou, Chao1,2; Wang, Jian1,2; Zhang, Zhuoliang1,2; Tan, Min1,2
刊名IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
出版日期2023-05-04
页码12
关键词Fish Robots Sports Costs Tail Springs Steel Bionic underwater robots multi-flexible joints performance optimization
ISSN号1545-5955
DOI10.1109/TASE.2023.3269775
通讯作者Zhou, Chao(chao.zhou@ia.ac.cn)
英文摘要Due to the complex mechanism and fabrication process of flexible materials, it remains extremely challenging for a flexible robotic fish to achieve fast and efficient locomotion. In this article, taking advantage of the passive bending and energy storage properties of flexible materials, we propose an untethered robotic fish with multiple flexible joints to achieve high performance and low Cost of Transport (COT). First, combining rigid links and flexible materials, a compact flexible tail with a simple and efficient structure is proposed. Next, the pseudo-rigid body theory is applied to analyze the deformation of passive joints, and a full-state dynamic model is established. More importantly, an optimization method by adjusting the phase differences of the passive joints is used to obtain high aquatic performance. Finally, extensive simulations and experiments validate the effectiveness of the proposed method, and the robotic fish can achieve a maximum speed of 1.63 body length (BL) per second and a minimum COT of 4.8 J/m (2.87 J/m . kg). Compared with the multi-joint robotic fish with a similar design, the COT is reduced by up to 81.05% with the basically same aquatic ability. Excitingly, the flexible robotic fish can achieve a COT of 7.36 J/m at 1.23 BL/s, which is 15.72%-36.34% lower than that of the bluefin tuna and is within the range of yellowfin tuna, offering valuable insight into high speed and long endurance applications for underwater robots.
资助项目National Natural Science Foundation of China[62033013] ; National Natural Science Foundation of China[62003341] ; National Natural Science Foundation of China[62003342] ; National Natural Science Foundation of China[62203436]
WOS研究方向Automation & Control Systems
语种英语
WOS记录号WOS:000988340500001
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/173211/53296]  
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
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 ArtificialIntelligence, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Lu, Ben,Zhou, Chao,Wang, Jian,et al. Toward Swimming Speed Optimization of a Multi-Flexible Robotic Fish With Low Cost of Transport[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2023:12.
APA Lu, Ben,Zhou, Chao,Wang, Jian,Zhang, Zhuoliang,&Tan, Min.(2023).Toward Swimming Speed Optimization of a Multi-Flexible Robotic Fish With Low Cost of Transport.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,12.
MLA Lu, Ben,et al."Toward Swimming Speed Optimization of a Multi-Flexible Robotic Fish With Low Cost of Transport".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING (2023):12.

入库方式: OAI收割

来源:自动化研究所

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