Linearized 1-DoF Dynamic Model of an Underwater Vehicle Using CFD

Ahsan Tanveer*, Sarvat M. Ahmad

*Corresponding author for this work

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

Abstract

The development of a dynamic model for yaw while considering the hydrodynamic forces acting on an underwater vehicle is inevitable if its performance during a mission like underwater structure inspection is to be examined. However, the high cost of underwater testing makes it impractical to obtain a model that adequately characterizes the vehicle dynamics. Therefore, this work suggests employing computational fluid dynamics (CFD) approach to develop a yaw model of the vehicle. Drag coefficient in the dynamic model is obtained using CFD analysis. On the other hand, the data from the thrust curve is used to compute the thrust coefficient. The resulting transfer function model is validated with experimental data of the vehicle. The model synthesised using the proposed approach is discovered to agree with the experimental results.

Original languageEnglish
Title of host publicationICETECC 2022 - International Conference on Emerging Technologies in Electronics, Computing and Communication
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665490870
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Conference on Emerging Technologies in Electronics, Computing and Communication, ICETECC 2022 - Jamshoro, Sindh, Pakistan
Duration: 7 Dec 20229 Dec 2022

Publication series

NameICETECC 2022 - International Conference on Emerging Technologies in Electronics, Computing and Communication

Conference

Conference2022 International Conference on Emerging Technologies in Electronics, Computing and Communication, ICETECC 2022
Country/TerritoryPakistan
CityJamshoro, Sindh
Period7/12/229/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • computational fluid dynamics
  • hydrodynamic model
  • parameter estimation
  • system identification
  • underwater vehicles

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

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