@article{10902/33203,
year = {2024},
month = {9},
url = {https://hdl.handle.net/10902/33203},
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},
organization = {This project has been partially supported through the project TED2021-132158B-I00 Evolutionary Monitoring with Unmanned Underwater Vehicles for the Maintenance of the bottom and Anchorages of Offshore Wind Farms funded by MCIU/AEI/10.13039/501100011033 and by the European Union - Next GenerationEU/PRTR (Fig. 16) and through the proyect Control of Unmanned Underwater Vehicles for Supervision of Structures for Anchored Maritime Works. Advanced and Inteligent Controllers & 3D Supervision funded by the Ministry Of Universities, Equality, Culture and Sport of The Government of Cantabria, Spain.},
publisher = {Elsevier BV},
publisher = {Ocean Engineering, 2024, 307, 118215},
title = {Experiment design for model basin tests with a remotely operated vehicle},
author = {Revestido Herrero, Elías and Llata García, José Ramón and Sainz Gutiérrez, José Joaquín and Velasco González, Francisco Jesús and Alonso Rentería, Luciano},
}