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  • 标题:Online wave estimation using vessel motion measurements ⁎
  • 本地全文:下载
  • 作者:Astrid H. Brodtkorb ; Ulrik D. Nielsen ; Asgeir J. Sørensen
  • 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:244-249
  • DOI:10.1016/j.ifacol.2018.09.510
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, a computationally efficientonlinesea state estimation algorithm is proposed for estimation of theonsitesea state. The algorithm finds the wave spectrum estimate from motion measurements in heave, roll and pitch by iteratively solving a set of linear equations. The main vessel parameters and motion transfer functions are required as input. Apart from this the method is signal-based, with no assumptions on the wave spectrum shape, and as a result it is computationally efficient. The algorithm is implemented in a dynamic positioning (DP) control system, and tested through simulations in different sea states, with heading changes. Discrete stability analysis is performed to find iteration gains in the algorithm.
  • 关键词:Keywordssea state estimationdynamic positioning
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