Elías Revestido Herrero

Parameter Estimation of Thrust Models of Uninhabited Airborne Systems

This paper presents a method for the estimation of thrust model parameters of uninhabited airborne systems using specific flight tests. Particular tests are proposed to simplify the estimation. The proposed estimation method is based on three steps. The first step uses a regression model in which the thrust is assumed constant. This allows us to obtain biased initial estimates of the aerodynamic coeficients of the surge model. In the second step, a robust nonlinear state estimator is implemented using the initial parameter estimates, and the model is augmented by considering the thrust as random walk. In the third step, the estimate of the thrust obtained by the observer is used to fit a polynomial model in terms of the propeller advanced ratio. We consider a numerical example based on Monte-Carlo simulations to quantify the sampling properties of the proposed estimator given realistic flight conditions.

Vessel stability experiences with a remote laboratory for training based on IMO STCW training code

The standards of the International Maritime Organization recommend the introduction of distance learning and web‐based learning in training and certification for seafarers. Following these suggestions, the present work describes a Remote Laboratory that use in scale models of ships, which satisfy these requirements. The instrumented in scale ship acquires data of its movements, which are interpreted in stability terms. By using this Remote Laboratory, students are instructed online in the study of ships stability. The developed experiences have been positively valued by the students as an improvement in their learning process.