Knowledge Commons of Institute of Automation,CAS
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 |
ISSN | 1545-5955 |
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 |
DOI | 10.1109/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 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
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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