García-Violini, Demián, Faedo, Nicolás, Peña-Sanchez, Yerai, Nava, Vincenzo and Ringwood, John (2024) Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches. Ocean Engineering, 311. p. 118864. ISSN 00298018
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Abstract
Wave excitation force (torque) estimators, vital in wave energy systems, generally combine the nominal
representation of a wave energy converter (WEC) with an excitation force (perturbation) model. Thus, this
model-based estimation approach, grounded in the internal model principle, often employs two perturbation
models: (i) the harmonic oscillator structure, prevalent in literature, assuming sinusoidal signals; and (ii) the
integrator (random walk) scheme, assuming unit step-like signals. These models comprehensively represent
a specific family of estimators, as discussed in this study. However, both models may struggle to capture
the irregular (stochastic) nature of ocean waves. This study challenges the prevailing assumption that the
harmonic oscillator structure, selected for its resemblance to ocean wave oscillations, is inherently the optimal
choice. This study provides a rigorous discussion on convergence conditions. Thus, is shown that, while the
harmonic oscillator can be highly effective under specific conditions, the random walk structure, despite
its simplicity, can surpass the performance of the harmonic oscillator scheme. Formal proofs support this
argument, emphasising the effectiveness of the harmonic oscillator can be guaranteed with periodic signals.
Item Type: | Article |
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Keywords: | Wave energy; Control Estimation; Tank testing; Harmonic oscillator; Kalman estimator; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 19385 |
Identification Number: | 10.1016/j.oceaneng.2024.118864 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 21 Jan 2025 14:31 |
Journal or Publication Title: | Ocean Engineering |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/19385 |
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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