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Wave excitation force estimation and forecasting for WEC power conversion maximisation (2019)
Presentation / Conference Contribution
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

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... Read More about Wave excitation force estimation and forecasting for WEC power conversion maximisation.

Fault-tolerant load reduction control for large offshore wind turbines (2019)
Thesis
Liu, Y. Fault-tolerant load reduction control for large offshore wind turbines. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4270015

Offshore wind turbines suffer from asymmetrical loading (blades, tower etc.), leading to enhanced structural fatigue. As well as asymmetrical loading different types of faults (pitch system faults etc.) can occur simultaneously, causing degradation o... Read More about Fault-tolerant load reduction control for large offshore wind turbines.

Learning a predictionless resonating controller for wave energy converters (2019)
Presentation / Conference Contribution
Shi, S., Patton, R. J., Abdelrahman, M., & Liu, Y. (2019, June). Learning a predictionless resonating controller for wave energy converters. Presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, Glasgow, Scotland

This article presents a data-efficient learning approach for the complex-conjugate control of a wave energy point absorber. Particularly, the Bayesian Optimization algorithm is adopted for maximizing the extracted energy from sea waves subject to phy... Read More about Learning a predictionless resonating controller for wave energy converters.