Abstract

Ship maneuvering is the ability of ships to turn and spin while operating on seas. The ship's hydrodynamic coefficients are a set of parameters that influence the mathematical model of ship motion. In other words, if the hydrodynamic coefficients are more accurate, the ship motion produced by the model is closer to the actual motion. This study uses unscented Kalman filter and recursive least square to estimate the hydrodynamic coefficients in the 4-DOF ship motion models based on the data from free running model test.

Original languageEnglish
Title of host publication2019 IEEE 11th International Workshop on Computational Intelligence and Applications, IWCIA 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-13
Number of pages5
ISBN (Electronic)9781728124292
DOIs
Publication statusPublished - Nov 2019
Event11th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2019 - Hiroshima, Japan
Duration: 9 Nov 201910 Nov 2019

Publication series

Name2019 IEEE 11th International Workshop on Computational Intelligence and Applications, IWCIA 2019 - Proceedings

Conference

Conference11th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2019
Country/TerritoryJapan
CityHiroshima
Period9/11/1910/11/19

Keywords

  • free running model test
  • hydrodynamic coefficients
  • recursive least square
  • unscented Kalman filter

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