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PMID: 36285303 Published · epublish English Journal Article

Hydrodynamic Modeling and Parameter Identification of a Bionic Underwater Vehicle: RobDact.

Cyborg and bionic systems (Washington, D.C.) ·Vol. 2022 ·2022-00-00 ·页码 9806328

Cao Q, Wang R, Zhang T, Wang Y, Wang S

Abstract

In this paper, the hydrodynamic modeling and parameter identification of the RobDact, a bionic underwater vehicle inspired by Dactylopteridae, are carried out based on computational fluid dynamics (CFD) and force measurement experiment. Firstly, the paper briefly describes the RobDact, then establishes the kinematics model and rigid body dynamics model of the RobDact according to the hydrodynamic force and moment equations. Through CFD simulations, the hydrodynamic force of the RobDact at different speeds is obtained, and then, the hydrodynamic model parameters are identified. Furthermore, the measurement platform is developed to obtain the relationship between the thrust generated by the RobDact and the input fluctuation parameters. Finally, by combining the rigid body dynamics model and the fin thrust mapping model, the hydrodynamic model of the RobDact at different motion states is constructed.

作者与单位
共 5 位作者,点击展开单位 / ORCID
Cao Qiyuan
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. | School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
Wang Rui ORCID
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Zhang Tiandong
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. | School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
Wang Yu
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
Wang Shuo
State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China. | School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China. | Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Article Info
Journal
Cyborg and bionic systems (Washington, D.C.)
Abbr.
Cyborg Bionic Syst
ISSN
2692-7632
Published
2022-00-00
电子出版
2022-00-31
页码
9806328
Language
English
Country/Region
United States
NLM ID
9918400086506676
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