Zhan, Siyuan, Chen, Yutao and Ringwood, John (2025) Computationally-efficient nonlinear model predictive control of wave energy converters with imperfect wave excitation previews. Ocean Engineering, 319: 120125. pp. 1-12. ISSN 0029-8018
Preview
JR_comp.pdf
Download (2MB) | Preview
Abstract
Energy maximising (EM) control of wave energy converters (WECs) is a noncausal problem, where wave
prediction information can be used to increase the energy conversion rate significantly. However, current
approaches do not consider the prediction error evolution in the control formulation process, leading to
potential unpredictable performance degradation. Moreover, most existing real-time WEC control approaches
assume linear dynamics, motivated by their simplicity and mild computational cost and, thus, are not effective
for real-time control for WECs with nonlinear dynamics. Targeting imperfect wave prediction and nonlinear
WEC dynamics, this paper proposes a computationally-efficient nonlinear MPC (NMPC) scheme for WECs with
(typically) imperfect wave excitation preview. This is achieved by introducing an input move blocking scheme
when formulating and solving the online optimisation problem, i.e., defining finer discretisation grids for the
control input and wave prediction at the early stages of the prediction horizon, where the wave prediction is
more accurate, and coarser grids at the latter stages of the horizon, to reflect less inaccurate wave prediction
information. Numerical simulation results are presented, based on a conceptual nonlinear point-absorber WEC,
to verify the efficacy of the proposed NMPC method, in terms of produced energy, computational complexity,
and robustness against wave prediction inaccuracy.
Item Type: | Article |
---|---|
Keywords: | Nonlinear model predictive control; Wave prediction; Wave energy converter; Reduced computational complexity; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 19544 |
Identification Number: | 10.1016/j.oceaneng.2024.120125 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 04 Mar 2025 12:55 |
Journal or Publication Title: | Ocean Engineering |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/19544 |
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)
Downloads
Downloads per month over past year