Hofman, Ronan, S.Y. (2026) Model Predictive Control strategies for Wave Energy Converters. Research Project, System and Control.
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Abstract
This paper presents Model Predictive Control (MPC) for Point Absorber Wave Energy Converters (PAWECs), using short-term wave forecasting to predict incoming waves and compute excitation forces as system inputs. An observer corrects displacement, velocity, and force estimates to enhance control robustness under uncer- tainty. The study covers: the motivation and global potential of wave energy; mathematical PAWEC model- ing with state-space dynamics and all acting forces; short-term autoregressive wave forecasting; system overview and Simulink implementation; MPC pseudocode; and numerical results comparing four variants using MATLAB-based simulations, followed by three practical implementations within the WEC-Sim frame- work.: approximated excitation force (MPC Fa), full a priori knowledge (MPC Fe), and observer-enhanced control (MPCobs Fa) across noise-free and noisy conditions.
| Item Type: | Thesis (Research Project) |
|---|---|
| Supervisor name: | Cucuzzella, M. and Jayawardhana, B. and Vacchini, E. |
| Degree programme: | System and Control |
| Thesis type: | Research Project |
| Language: | English |
| Date Deposited: | 27 Mar 2026 10:47 |
| Last Modified: | 27 Mar 2026 10:47 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/37273 |
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