Experiment design for model basin tests with a remotely operated vehicle

Revestido Herrero, Elías; Llata García, José Ramón; Sainz Gutiérrez, José Joaquín; Velasco González, Francisco Jesús; Alonso Rentería, Luciano

doi:10.1016/j.oceaneng.2024.118215

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Identificadores

URI: https://hdl.handle.net/10902/33203

DOI: 10.1016/j.oceaneng.2024.118215

ISSN: 0029-8018

ISSN: 1873-5258

Fecha

2024-09-01

Derechos

Attribution-NonCommercial-NoDerivatives 4.0 International

Publicado en

Ocean Engineering, 2024, 307, 118215

Editorial

Elsevier BV

Enlace a la publicación

https://doi.org/10.1016/j.oceaneng.2024.118215

Palabras clave

Experiment design

Parameter sensitivity

Maneuvering models

Mini max

Resumen/Abstract

In this paper, we propose an experiment design methodology for model basin tests with a remotely operated vehicle (ROV) to estimate model parameters. We propose and compare two different optimization problems based on a parameter sensitivity approach for the modification of the standard inputs used in model basin tests. A procedure is established for the design of experiments for model basin tests and it is applied to the data acquired in the Centro de Experiencias Hidrodinámicas del Pardo INTA/CEHIPAR model basin tests. Through the Monte Carlo study, the statistical properties of the estimated parameters are quantified to verify the improvement when the designed excitation signal is applied

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