Model invalidation is the process of testing assumptions of a dynamical model by comparing simulated responses with experimental data, considering any discrepancies as evidence that the model may be invalid. In this study, a model invalidation methodology is presented, to obtain robust control oriented models for wave energy converters (WECs). In particular, this methodology can deal separately with dynamical uncertainty and external noise in experimental data sets. To this end, considering linear system theory, this study proposes a methodology for building input-output data sets for WEC systems, via a two-stage approach. Model invalidation results are analysed statistically, and the practical implications of considering dynamical uncertainty in WEC system models are discussed in terms of control performance, specifically absorbed energy. As indicated by the analysis and results presented in this study, failure to include dynamic uncertainty in the analysis can lead to performance overestimation. The importance of a good dynamical description for accurate estimation of experimental control performance is highlighted. Finally, this study emphasises the need for closed-loop controllers for WEC systems that can simultaneously maximise energy and guarantee robust stability, an area currently lacking within the WEC literature.

A model invalidation procedure for wave energy converters with experimental assessment and implications for control / García-Violini, Demián; Peña-Sanchez, Yerai; Faedo, Nicolas; Bianchi, Fernando; Ringwood, John V.. - In: CONTROL ENGINEERING PRACTICE. - ISSN 0967-0661. - 143:(2024). [10.1016/j.conengprac.2023.105778]

A model invalidation procedure for wave energy converters with experimental assessment and implications for control

Faedo, Nicolas;
2024

Abstract

Model invalidation is the process of testing assumptions of a dynamical model by comparing simulated responses with experimental data, considering any discrepancies as evidence that the model may be invalid. In this study, a model invalidation methodology is presented, to obtain robust control oriented models for wave energy converters (WECs). In particular, this methodology can deal separately with dynamical uncertainty and external noise in experimental data sets. To this end, considering linear system theory, this study proposes a methodology for building input-output data sets for WEC systems, via a two-stage approach. Model invalidation results are analysed statistically, and the practical implications of considering dynamical uncertainty in WEC system models are discussed in terms of control performance, specifically absorbed energy. As indicated by the analysis and results presented in this study, failure to include dynamic uncertainty in the analysis can lead to performance overestimation. The importance of a good dynamical description for accurate estimation of experimental control performance is highlighted. Finally, this study emphasises the need for closed-loop controllers for WEC systems that can simultaneously maximise energy and guarantee robust stability, an area currently lacking within the WEC literature.
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0967066123003477-main.pdf

accesso aperto

Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Creative commons
Dimensione 2.98 MB
Formato Adobe PDF
2.98 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2988097