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Design and Optimization of an Untethered High-Performance Robotic Tuna
Tong, Ru1,2; Wu, Zhengxing1,2; Chen, Di1,2; Wang, Jian1,2; Du, Sheng1,2; Tan, Min1,2; Yu, Junzhi1,3
发表期刊IEEE-ASME TRANSACTIONS ON MECHATRONICS
ISSN1083-4435
2022-02-28
页码11
摘要

For bioinspired underwater robots, it is a great challenge to achieve both high swimming speed and steering maneuverability. To this end, this article presents an untethered high-performance robotic tuna through mechanism optimization and steering strategies design. First, combining the advantages of single-joint and multijoint robotic fish, a novel mechanism of redundant joints is designed to enrich the swimming patterns of the robotic tuna. Next, a three-dimensional dynamic model is established, and the model parameters are accurately identified by experimental data. With the aid of the model and experiments, the speed performance is optimized under the key parameters of tail fin, such as size and flexibility. Further, from the perspective of imitating tuna and the demand of actual operations, two steering strategies are proposed to improve the steering performance. Finally, extensive simulation and experiments verify the effectiveness of the proposed methods. The obtained results reveal that the untethered robotic tuna can achieve both high swimming speed with 2.26 m/s (equivalent to 3.13 body lengths per second) and outstanding steering maneuverability with 0.48 body lengths in turning radius, providing valuable insight into performing special missions in cluttered ocean environments.

关键词Robots Sports Propulsion Robot kinematics Shape Optimization Prototypes High maneuverability high swimming motion control motion optimization robotic tuna
DOI10.1109/TMECH.2022.3150982
关键词[WOS]FISH
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[61725305] ; National Natural Science Foundation of China[62033013] ; National Natural Science Foundation of China[62073196] ; National Natural Science Foundation of China[T2121002] ; S&T Program of Hebei[F2020203037] ; Youth Innovation Promotion Association CAS[2019138]
项目资助者National Natural Science Foundation of China ; S&T Program of Hebei ; Youth Innovation Promotion Association CAS
WOS研究方向Automation & Control Systems ; Engineering
WOS类目Automation & Control Systems ; Engineering, Manufacturing ; Engineering, Electrical & Electronic ; Engineering, Mechanical
WOS记录号WOS:000764837400001
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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引用统计
被引频次:23[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/173211/47970
专题复杂系统认知与决策实验室_先进机器人
复杂系统认知与决策实验室_水下机器人
通讯作者Yu, Junzhi
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Peking Univ, Coll Engn, Dept Adv Mfg & Robot, BIC ESAT,State Key Lab Turbulence & Complex Syst, Beijing 100871, 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
Tong, Ru,Wu, Zhengxing,Chen, Di,et al. Design and Optimization of an Untethered High-Performance Robotic Tuna[J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS,2022:11.
APA Tong, Ru.,Wu, Zhengxing.,Chen, Di.,Wang, Jian.,Du, Sheng.,...&Yu, Junzhi.(2022).Design and Optimization of an Untethered High-Performance Robotic Tuna.IEEE-ASME TRANSACTIONS ON MECHATRONICS,11.
MLA Tong, Ru,et al."Design and Optimization of an Untethered High-Performance Robotic Tuna".IEEE-ASME TRANSACTIONS ON MECHATRONICS (2022):11.
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