Modeling of a caudal-fin-driven robotic fish with buoyancy-adjusting system

Heng Deng, Rongxin Cui, Haibao Hu, Rongrong Wei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, the dynamic model of a self-developed robotic fish propelled by a flexible caudal fin is presented. The robotic fish has a rigid body and a flexible caudal fin. The dynamic model is derived in accordance with the momentum and angular momentum theorem, and the 6 degree-of-freedoms (DOFs) model is built. To get the hydrodynamic parameters, the particle swarm optimization (PSO) method is employed. On this basis, the original 6 DOFs model is decoupled into horizontal and vertical models, whose effectiveness is confirmed by simulation and experiments. In final, experimental results are provided.

Original languageEnglish
Title of host publication2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages504-509
Number of pages6
ISBN (Electronic)9781538632604
DOIs
StatePublished - 2 Jul 2017
Event2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017 - Hefei and Tai'an, China
Duration: 27 Aug 201731 Aug 2017

Publication series

Name2017 2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017
Volume2018-January

Conference

Conference2nd International Conference on Advanced Robotics and Mechatronics, ICARM 2017
Country/TerritoryChina
CityHefei and Tai'an
Period27/08/1731/08/17

Keywords

  • biomimetic robotic fish
  • motion model
  • parameter identification
  • particle swarm optimization

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