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  • 标题:Path planning for an identification mission of an Autonomous Underwater Vehicle in a lemniscate form
  • 本地全文:下载
  • 作者:Ayushman Barua ; Jörg Kalwa ; Yuri Shardt
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:29
  • 页码:323-328
  • DOI:10.1016/j.ifacol.2018.09.503
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper describes the algorithms for guidance and control of an Autonomous Underwater Vehicle (AUV) for a specific identification mission. The goal is to traverse several times an object of interest on the sea floor in a given geometric path in order to maximize the amount of information that can be obtained using the optical and acoustical sensors. Existing ocean currents that can be estimated using a Doppler Velocity Log (DVL) have to be considered when planning the path. We will describe the overall mission scenario and suggest a possible solution, based on an adequate planning of the path in form of a lemniscate and use the “chase the rabbit” approach for path following. This approach yields stable mission execution even in the presence of a considerable ocean current. The approach is validated with a state-of-the-art AUV using live tests in a special lake that contains a current.
  • 关键词:KeywordsMaritime roboticsNavigationguidancecontrol of marine vehiclesAutonomous marine vehiclesGuidancenavigationcontrol (GNC) of unmanned marine vehiclesModelingidentificationsimulationcontrol of marine systems
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