Online wave estimation using vessel motion measurements

Research output: Contribution to journalConference article – Annual report year: 2018Researchpeer-review

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In this paper, a computationally efficient online sea state estimation algorithm isproposed for estimation of the on site sea 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.
Original languageEnglish
Book seriesI F A C Workshop Series
Volume51
Issue number29
Pages (from-to)244-249
ISSN1474-6670
DOIs
Publication statusPublished - 2018
Event11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2018) - Opatija, Croatia
Duration: 10 Sep 201812 Sep 2018

Conference

Conference11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS 2018)
CountryCroatia
CityOpatija
Period10/09/201812/09/2018
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Sea state estimation, Dynamic positioning
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