Neural network-based visual positioning control of unmanned underwater vehicles with thruster time delay

Yingxiang Wang, Weisheng Yan, Jian Gao, Hong Yue

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

3 Scopus citations

Abstract

The time delay makes it difficult to achieve expected dynamic positioning (DP) performance of unmanned underwater vehicles (UUVs), which may even affect the stability of the system. This work is focused on the compensation for the thruster time delay in the visual positioning system of UUV. A control scheme using time delay feedback is proposed to enhance adaptation to the thruster time delay from the image-based visual servo (IBVS) system. A neural network (NN) is developed to compensate dynamic uncertainties. Simulation studies show the effectiveness of this approach in comparison with the strategy without compensation for time delay.

Original languageEnglish
Title of host publication2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538616543
DOIs
StatePublished - 4 Dec 2018
Event2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, Japan
Duration: 28 May 201831 May 2018

Publication series

Name2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Conference

Conference2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Country/TerritoryJapan
CityKobe
Period28/05/1831/05/18

Keywords

  • Dynamic positioning (DP)
  • Image-based visual servo (IBVS)
  • Neural network (NN)
  • Time delay
  • Unmanned underwater vehicle (UUV)

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