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Hydrodynamic Coefficient Estimation of Small Autonomous Underwater Vehicle

  • Gan Zhang
  • , Yinfu Lin
  • , Ji Huang
  • , Lin Hong
  • , Xin Wang*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

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

Abstract

Autonomous underwater vehicles (AUVs) have been widely used in many aspects of the underwater world for their autonomy and robust flexibility. However, the dynamic performance of the small AUVs is strongly affected by hydrodynamic effects. In this work, based on a novel designed small AUV, we conduct a hydrodynamic coefficients estimation work by adopting the computational fluid dynamics (CFD) method. Firstly, the resistance to AUV under different propeller layout conditions is analyzed. Secondly, to study the hydrodynamic coefficients of the AUV at different pitch angles, we simulated the movement of the AUV in the Fluent module and determined the thrust of the propeller by estimating the axial and radial forces. Simulation results show that the resistance and sinking force coefficients of the designed AUV are positively correlated with pitch angle and negatively correlated with Reynolds number. This work provides a vital reference for designing effective control strategies for small underwater vehicles.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 14th International Conference, ICIRA 2021, Proceedings
EditorsXin-Jun Liu, Zhenguo Nie, Jingjun Yu, Fugui Xie, Rui Song
PublisherSpringer Science and Business Media Deutschland GmbH
Pages115-125
Number of pages11
ISBN (Print)9783030890919
DOIs
StatePublished - 2021
Externally publishedYes
Event14th International Conference on Intelligent Robotics and Applications, ICIRA 2021 - Yantai, China
Duration: 22 Oct 202125 Oct 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13016 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Intelligent Robotics and Applications, ICIRA 2021
Country/TerritoryChina
CityYantai
Period22/10/2125/10/21

Keywords

  • Autonomous underwater vehicle
  • Computational fluid dynamic
  • Hydrodynamic coefficients

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