TY - CONF
T1 - Optimal Control of a Hybrid Offshore Platform Combining a Wind Turbine and Multiple Floats
AU - Zhao, Hongbiao
AU - Stansby, Peter
AU - Liao, Zhijing
AU - Li, Guang
PY - 2024/3/25
Y1 - 2024/3/25
N2 - The integration of offshore floating wind turbines with wave energy converters (WECs) can be a promising approach to effectively harness wind and improve the platform sur-vivability. A realistic multi-objective complete non-causal optimal control framework is proposed, this study first employs the Euler-Lagrangian method for control-oriented state-space modelling of a hybrid platform with multiple floats and degrees of freedom. Combining Kalman filters with autoregressive (AR) prediction, this approach comprehensively addresses uncertainties in the model state, wave excitation force input prediction, as well as modelling and sensor measurement errors. The developed multi-objective control strategy, in comparison to well-tuned passive dampers, improves wave energy capture efficiency by an average of 150% across all tested peak periods, while ensuring the critical factor for platform operational safety, namely the effective value of hub acceleration, remains within 2 m/s2. The multi-objective optimal control strategy proposed in this paper significantly enhances wave energy capture efficiency by allowing larger relative pitching angles between the platform and the wave converters, thereby ensuring platform stability
AB - The integration of offshore floating wind turbines with wave energy converters (WECs) can be a promising approach to effectively harness wind and improve the platform sur-vivability. A realistic multi-objective complete non-causal optimal control framework is proposed, this study first employs the Euler-Lagrangian method for control-oriented state-space modelling of a hybrid platform with multiple floats and degrees of freedom. Combining Kalman filters with autoregressive (AR) prediction, this approach comprehensively addresses uncertainties in the model state, wave excitation force input prediction, as well as modelling and sensor measurement errors. The developed multi-objective control strategy, in comparison to well-tuned passive dampers, improves wave energy capture efficiency by an average of 150% across all tested peak periods, while ensuring the critical factor for platform operational safety, namely the effective value of hub acceleration, remains within 2 m/s2. The multi-objective optimal control strategy proposed in this paper significantly enhances wave energy capture efficiency by allowing larger relative pitching angles between the platform and the wave converters, thereby ensuring platform stability
M3 - Paper
ER -
