Experiment design for model basin tests with a remotely operated vehicle

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.