Farajvand, Mahdiyeh and Grazioso, Valerio and García-Violini, Demián and Ringwood, John
(2023)
Uncertainty estimation in wave energy systems with applications in robust energy maximising control.
Renewable Energy, 203.
pp. 194-204.
ISSN 0960-1481
Abstract
Under control action, wave energy devices typically display nonlinear hydrodynamic behaviour, making the design of energy maximising control somewhat onerous. One solution to approach the optimal performance for nonlinear control problem under model mismatches is to employ a linear control strategy, which can be robust to linear model mismatches. However, accurate characterisation of the uncertainty in the linear model is vital, if the controller is to adequately capture the full extent of the uncertainty, while not being overly conservative due to overestimation of the uncertainty. This paper describes a procedure, employing CFD-based numerical tank experiments, to accurately produce a nominal linear empirical transfer function model, along with an accurate estimate of the uncertainty bounds in that linear model, due to hydrodynamic uncertainty. A robust control case study is provided, illustrating the nominal model estimation process, and its corresponding uncertainty set, including the complete procedure, required to generate the robust controller. Robust control results, on the fully nonlinear CFD model, are provided to demonstrate the efficacy of the modelling and control philosophy.
| Item Type: |
Article
|
| Keywords: |
Wave energy converter;
Computational fluid dynamics; CFD;
Numerical wave tank; NWT;
Empirical transfer function estimate; ETFE;
Uncertainty bound;
Robust control; |
| Academic Unit: |
Faculty of Science and Engineering > Electronic Engineering |
| Item ID: |
18950 |
| Identification Number: |
https://doi.org/10.1016/j.renene.2022.12.054 |
| Depositing User: |
Professor John Ringwood
|
| Date Deposited: |
01 Oct 2024 10:44 |
| Journal or Publication Title: |
Renewable Energy |
| Publisher: |
Elsevier |
| 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 |
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