A robust sonar servo control scheme for wall-following using an autonomous underwater vehicle

George C. Karras, Charalampos P. Bechlioulis, Hashim Kemal Abdella, Tom Larkworthy, Kostas Kyriakopoulos, David Lane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the design and implementation of a model-based sonar servoing control scheme for Autonomous Underwater Vehicles (AUVs). The proposed controller is designed for autonomous surveillance of underwater structures and it is robust against external disturbances and parametric uncertainties in the AUV dynamic model. The sensor suite includes a Multi-beam Imaging Sonar which provides measurements to a RANSAC-based algorithm for structure detection and pose estimation of the vehicle with respect to the structure. The sonar-based pose estimation is properly fused with the rest of the state measurements provided by a navigation module and the resulted state vector is incorporated as feedback to the controller. The proposed control scheme has analytically guaranteed stability and convergence properties, while its applicability and performance are experimentally verified using the Nessie VI AUV in the presence of external disturbances (medium height waves).

Original languageEnglish (US)
Title of host publicationIROS 2013
Subtitle of host publicationNew Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Pages3893-3898
Number of pages6
DOIs
StatePublished - 2013
Event2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013 - Tokyo, Japan
Duration: Nov 3 2013Nov 8 2013

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Other

Other2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013
Country/TerritoryJapan
CityTokyo
Period11/3/1311/8/13

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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