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author:

Yan, S. (Yan, S..) [1] | Wu, Z. (Wu, Z..) [2] | Wang, J. (Wang, J..) [3] | Li, S. (Li, S..) [4] | Tan, M. (Tan, M..) [5] | Yu, J. (Yu, J..) [6]

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Scopus

Abstract:

In nature, the hammerhead shark possesses a special rolled swimming motion to combat the effects of inborn negative buoyancy. Inspired by this natural mechanism, we developed a novel biomimetic robotic hammerhead shark to explore the distinctive rolled swimming motion mode. First, a scaled-down robotic prototype is constructed based on the morphological characteristics of the hammerhead shark. Second, the kinematics and dynamics of fish-like swimming are built, thereafter, model identification and validation are performed to improve the accuracy of the robotic model. Furthermore, the physical effects of the long dorsal fin and the rolling state on swimming performance are investigated indepth by numerically simulating the lift and drag forces over different fin surfaces and the dynamic torque of the body. Finally, extensive aquatic experiments demonstrate the remarkable improvements on locomotion performance and propulsive efficiency of the robotic hammerhead shark by the proposed rolled motion. The obtained results provide a new solution for the long voyage of high-load robotic fish system. IEEE

Keyword:

Biomimetic locomotion Biomimetics Buoyancy hammerhead shark Propulsion robotic dynamics robotic fish Robot kinematics Robots Sports Tail

Community:

  • [ 1 ] [Yan S.]Department of Mechanical Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Wu Z.]Laboratory of Cognitive and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • [ 3 ] [Wang J.]Laboratory of Cognitive and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • [ 4 ] [Li S.]Laboratory of Cognitive and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • [ 5 ] [Tan M.]Laboratory of Cognitive and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
  • [ 6 ] [Yu J.]State Key Laboratory for Turbulence and Complex Systems, Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China

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Source :

ASME Transactions on Mechatronics

ISSN: 1083-4435

Year: 2023

Issue: 3

Volume: 29

Page: 1-13

6 . 1

JCR@2023

6 . 1 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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