Wave excitation force estimation and forecasting for WEC power conversion maximisation

Shi, Shuo; Abdelrahman, Mustafa; Patton, Ron J.

Abstract

Prediction or forecasting of the wave excitation force (WEF) is required for implementing a power ef ciency maximisation control of wave energy converters (WECs) due to the inherent non-causality of required power take-off (PTO) force. WEF prediction is a non-trivial challenge, depending on WEF (i) estimation and (ii) forecasting. In this study, an observer-based unknown input estimator (OBUIE) is used to estimate the wave excitation force, then a Gaussian Process (GP) model is adopted to forecast the wave excitation force. A new strategy for combined OBUIE and GP forecasting is presented and the performance of the new scheme is validated on a simulation model of the Wavestar WEC system, considering six different sea states. The simulation results indicate the accuracy and feasibility of the proposed method.

Citation

Shi, S., Abdelrahman, M., & Patton, R. J. (2019, July). Wave excitation force estimation and forecasting for WEC power conversion maximisation. Presented at IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Hong Kong

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
• Start Date: Jul 8, 2019
• End Date: Jul 12, 2019
• Online Publication Date: Oct 17, 2019
• Publication Date: Jul 1, 2019
• Deposit Date: Jun 8, 2022
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• Pages: 526-531
• Series Title: IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
• Series ISSN: 2159-6255
• ISBN: 9781728124926 ; 9781728124940
• DOI: https://doi.org/10.1109/AIM.2019.8868870
• Public URL: https://hull-repository.worktribe.com/output/3570345