Faedo, Nicolas and Dores Piuma, Francisco Javier and Giorgi, Giuseppe and Bracco, Giovanni and Ringwood, John and Mattiazzo, Giuliana (2021) Data-driven nonlinear model reduction by moment-matching for the ISWEC system. In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 7-8 October 2021, Mauritius.

Preview

Download (2MB) | Preview

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.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	wave energy; model reduction; nonlinear systems; optimal control;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
Item ID:	16114
Identification Number:	https://doi.org/10.1109/ICECCME52200.2021.9591007
Depositing User:	Professor John Ringwood
Date Deposited:	16 Jun 2022 13:00
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads