Faedo, Nicolas, Dores Piuma, Francisco Javier, Giorgi, Giuseppe, Bracco, Giovanni, 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.
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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) |
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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: | 10.1109/ICECCME52200.2021.9591007 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 16 Jun 2022 13:00 |
Refereed: | Yes |
URI: | https://mu.eprints-hosting.org/id/eprint/16114 |
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 |
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