Autonomous Landing of an Unmanned Underwater Vehicle using Hybrid Visual Servoing Control with Image Moments and Quaternions

Jie Liu, Jian Gao, Xuman An, Weisheng Yan

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

2 Scopus citations

Abstract

In this paper, a hybrid visual servo (HVS) control method is proposed for autonomous landing of an unmanned underwater vehicle (UUV) on a surface with any attitude angles (e.g., dam or ship bottom) before the cleaning or detecting operation. The hybrid features used in the HVS controller are constructed by image moments and unit quaternion of the vehicle. The desired velocity is generated by a liner feedback control of hybrid visual errors. In the dynamic control, dynamic inversion with adaptive neural network is used to overcome uncertain disturbances. Simulation results verify the effectiveness of the proposed HVS control strategy.

Original languageEnglish
Title of host publicationOCEANS 2019 - Marseille, OCEANS Marseille 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728114507
DOIs
StatePublished - Jun 2019
Event2019 OCEANS - Marseille, OCEANS Marseille 2019 - Marseille, France
Duration: 17 Jun 201920 Jun 2019

Publication series

NameOCEANS 2019 - Marseille, OCEANS Marseille 2019
Volume2019-June

Conference

Conference2019 OCEANS - Marseille, OCEANS Marseille 2019
Country/TerritoryFrance
CityMarseille
Period17/06/1920/06/19

Keywords

  • dynamic inversion
  • image moments
  • underwater vehicle landing

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