An obstacle avoiding control strategy for autonomous underwater vehicle

Rongxin Cui, Demin Xu, Meng Shen

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

3 Scopus citations

Abstract

An obstacle avoiding control strategy for Autonomous Underwater Vehicle (AUV) was proposed. According to the task of AUV, a variable structure control law was proposed for path following firstly. When AUV track the desired path, taking a looking forward sonar as the measuring instrument, a fuzzy inference system (FIS) was designed to derive the obstacle-avoiding angle based on the position relationship between AUV and the obstacle. Then, take the obstacle-avoiding angle as heading error of the path following control law. The proposed FIS and the path following control law construct an integrated obstacle avoiding control strategy. It was easy to be implemented. Simulation results show the efficiency of the strategy.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages9149-9153
Number of pages5
DOIs
StatePublished - 2006
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: 21 Jun 200623 Jun 2006

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume2

Conference

Conference6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/TerritoryChina
CityDalian
Period21/06/0623/06/06

Keywords

  • Autonomous underwater vehicle
  • Fuzzy inference system
  • Obstacle avoiding control
  • Variable structure

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