A potential field method for bottom navigation of autonomous underwater vehicles

Jian Gao, Demin Xu, Ningning Zhao, Weisheng Yan

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

13 Scopus citations

Abstract

The potential filed method is proposed to solve the bottom navigation problem of an underactuated autonomous underwater vehicle, including the bottom avoidance problem and the bottom following problem. The desired depth is treated as a stationary goal and the sea bottom is a moving obstacle in the bottom avoidance problem. And the desired altitude above the bottom is a moving goal and the maximum designed depth acts as a stationary obstacle in the bottom following problem. To improve the performance, the slope of sea bottom is added to the conventional potential forces as the relative velocity between the vehicle and the bottom, resulting in the dynamic potential field which is originally addressed for motion planning of mobile robots. A two layered hierarchical architecture is used to solve the motion control problem. The preliminary simulation results are provided to demonstrate that the proposed potential field based controller is easy for implementation with a satisfying performance.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7466-7470
Number of pages5
ISBN (Print)9781424421145
DOIs
StatePublished - 2008
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Autonomous underwater vehicle
  • Bottom avoidance
  • Bottom following
  • Dynamic motion planning
  • Potential field method

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