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Toward Swimming Speed Optimization of a Multi-Flexible Robotic Fish With Low Cost of Transport
Lu, Ben1,2; Zhou, Chao1,2; Wang, Jian1,2; Zhang, Zhuoliang1,2; Tan, Min1,2
发表期刊IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
ISSN1545-5955
2023-05-04
页码12
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.

关键词Fish Robots Sports Costs Tail Springs Steel Bionic underwater robots multi-flexible joints performance optimization
DOI10.1109/TASE.2023.3269775
收录类别SCI
语种英语
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]
项目资助者National Natural Science Foundation of China
WOS研究方向Automation & Control Systems
WOS类目Automation & Control Systems
WOS记录号WOS:000988340500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类智能机器人
国重实验室规划方向分类水下仿生机器人
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被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/53297
专题复杂系统认知与决策实验室_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
第一作者单位中国科学院自动化研究所
通讯作者单位中国科学院自动化研究所
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.
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