Dataset for Identification of the Yellowfish ASV

Published: 6 February 2024| Version 1 | DOI: 10.17632/zhct73r8bt.1
Contributor:
Thalia Morel

Description

This experimental report presents the data collected from the trials of the Yellowfish Autonomous Surface Vehicle (ASV), designed and developed at Universidad Loyola Andalucía. The dataset encompasses a wide array of parameters including velocities and Pulse Width Modulation (PWM) signals. This dataset is structured as MATLAB table, offering a robust foundation for in-depth analysis and performance evaluation of the ASV.

Files

Steps to reproduce

The columns are as shown: surge, sway, time, delta_L and delta_R normalized propellers PWM and the yaw rate.

Institutions

Universidad Loyola Andalucia

Categories

Engineering, Nonlinear System Identification, Researcher, Autonomous Vehicle

Funding

Ministerio de Educación y Ciencias

Licence