Given the relevance of control-oriented models in optimal control design for wave energy converters (WECs), this paper presents a data-driven approach to nonlinear model reduction by moment-matching for the ISWEC device, a device originally developed at the Politecnico di Torino. The presented model reduction technique is capable of providing simple WEC models, which inherently preserve steady-state response characteristics from the target nonlinear system, by merely using information on the system outputs, defined for a specific class of operating conditions. We demonstrate that the proposed model reduction by moment-matching procedure is well-posed for the ISWEC, and illustrate the efficacy of this reduction technique under a variety of sea conditions.

Data-driven nonlinear model reduction by moment-matching for the ISWEC system / Faedo, N.; Dores Piuma, F. J.; Giorgi, G.; Bracco, G.; Ringwood, J. V.; Mattiazzo, G.. - (2021), pp. 1-6. ((Intervento presentato al convegno 2021 IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 tenutosi a mus nel 2021 [10.1109/ICECCME52200.2021.9591007].

Data-driven nonlinear model reduction by moment-matching for the ISWEC system

Faedo N.;Giorgi G.;Bracco G.;Mattiazzo G.
2021

Abstract

Given the relevance of control-oriented models in optimal control design for wave energy converters (WECs), this paper presents a data-driven approach to nonlinear model reduction by moment-matching for the ISWEC device, a device originally developed at the Politecnico di Torino. The presented model reduction technique is capable of providing simple WEC models, which inherently preserve steady-state response characteristics from the target nonlinear system, by merely using information on the system outputs, defined for a specific class of operating conditions. We demonstrate that the proposed model reduction by moment-matching procedure is well-posed for the ISWEC, and illustrate the efficacy of this reduction technique under a variety of sea conditions.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2944034