JOURNAL ARTICLE

Estimation of Hydrodynamic Coefficients using Unscented Kalman Filter and Recursive Least Square

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.

Keywords:
Kalman filter Unscented transform Extended Kalman filter Control theory (sociology) Motion (physics) Invariant extended Kalman filter Fast Kalman filter Set (abstract data type) Square (algebra) Filter (signal processing) Marine engineering Computer science Mathematics Engineering Statistics Artificial intelligence Geometry

Metrics

2
Cited By
0.22
FWCI (Field Weighted Citation Impact)
18
Refs
0.59
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Ship Hydrodynamics and Maneuverability
Physical Sciences →  Engineering →  Ocean Engineering
Inertial Sensor and Navigation
Physical Sciences →  Engineering →  Aerospace Engineering
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence

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