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Título Practical identification approach for the actuation dynamics of autonomous surface vehicles with minimal instrumentation
Autores MOREL OTAZU, THALIA ALICIA, ORIHUELA ESPINA, DIEGO LUIS, Combastel C. , BEJARANO PELLICER, GUILLERMO
Publicación externa No
Medio Ocean Eng.
Alcance Article
Naturaleza Científica
Cuartil JCR 1
Cuartil SJR 1
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85213522843&doi=10.1016%2fj.oceaneng.2024.120098&partnerID=40&md5=da5703d0397626654b532cac72fd1573
Fecha de publicacion 01/01/2025
ISI 001403037900001
Scopus Id 2-s2.0-85213522843
DOI 10.1016/j.oceaneng.2024.120098
Abstract A practical method for identifying the propeller model and inertia matrix of a marine Autonomous Surface Vehicle (ASV) is proposed in this work. Special attention is paid to limiting the instrumentation requirements. Based on a generic grey-box dynamic modelling addressing the considered catamaran-shaped ASV architecture, the static/dynamic behaviour of both propellers and the vessel dynamic are jointly estimated using the sole measurements of position, heading, and propellers pulse width modulation (PWM) signals. No accelerometer is required. Two distinct grey-box configurations involving either a static polynomial or a dynamic modelling of each propeller are proposed and compared. The resulting ASV identification methodology is shown to provide insight into the whole vessel inertial characteristics, which are key enablers in the development of autonomous navigation and control systems. Model validation was performed using data collected from the reported experiments. Model prediction errors related to both linear velocities and yaw rate are evaluated and compared based on given metrics. The results underscore the robustness and accuracy of the identified models in capturing the essential dynamics of the ASV, with a determination coefficient that consistently exceeds 0.94 for all estimated velocities. © 2024 Elsevier Ltd
Palabras clave Autonomous underwater vehicles; Dynamic positioning; Identification (control systems); Robustness (control systems); Actuation modeling; Autonomous surface vehicles; Dynamics models; Grey-box; Identification approach; Inertia; Model matrices; Practical method; System-identification; Vessel dynamic
Miembros de la Universidad Loyola