This work addresses a model based Fault Detection and Isolation problem for the actuators of the Odin Autonomous Underwater Vehicle. The model considered is the nonlinear 6 Dof Fossen model. In this article a new Autonomous Underwater Vehicle Fault Detection and Isolation system, based on the Non Linear Geometric Approach, resulting in a dedicated bank of scalar filters allowing simultaneous Fault Detection and Isolation, is proposed.The structural conditions for actuator fault diagnosability are analytically demonstrated. The results obtained by means of high fidelity simulations demonstrate the effectiveness and the reliability of the proposed methodology. The proposed Health Monitoring system can be successfully applied in Smart Harbour Autonomous Underwater Vehicle applications.
Autonomous Underwater Vehicle Actuators Health Monitoring for Smart Harbour Application / Castaldi P.; Menghini M.; De Marchi L.; Simani S.. - ELETTRONICO. - (2020), pp. 1-6. (Intervento presentato al convegno 5th International Conference on Smart and Sustainable Technologiesm (SpliTech), 2020 tenutosi a University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), Split, Croatia nel 23 -26 September 2020;) [10.23919/SpliTech49282.2020.9243818].
Autonomous Underwater Vehicle Actuators Health Monitoring for Smart Harbour Application
Castaldi P.Primo
Methodology
;Menghini M.
Secondo
Data Curation
;De Marchi L.Penultimo
Membro del Collaboration Group
;
2020
Abstract
This work addresses a model based Fault Detection and Isolation problem for the actuators of the Odin Autonomous Underwater Vehicle. The model considered is the nonlinear 6 Dof Fossen model. In this article a new Autonomous Underwater Vehicle Fault Detection and Isolation system, based on the Non Linear Geometric Approach, resulting in a dedicated bank of scalar filters allowing simultaneous Fault Detection and Isolation, is proposed.The structural conditions for actuator fault diagnosability are analytically demonstrated. The results obtained by means of high fidelity simulations demonstrate the effectiveness and the reliability of the proposed methodology. The proposed Health Monitoring system can be successfully applied in Smart Harbour Autonomous Underwater Vehicle applications.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.