Economic Nonlinear Model Predictive Control of Offshore Vertical-Axis Wind Turbines

Economic Nonlinear Model Predictive Control (ENMPC) is used to maximize power production in the presence of constraints for a floating Vertical-Axis Wind Turbine (VAWT) under development with the support of the ARPA-e ATLANTIS program. The ENMPC is a first-generation controller that considers only t...

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Bibliographic Details
Main Authors: Lao, Yejun, Rotea, Mario A., Koeln, Justin P., Sakib, Mohammad S., Griffith, D. Todd
Format: Conference Proceeding
Language:English
Subjects:
Aerodynamics
Codes
Economic Nonlinear MPC
Economics
Offshore Floating Vertical-Axis Wind Turbine
Real-time systems
Rotors
Torque
Wind Turbine Control
Wind turbines
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Summary:Economic Nonlinear Model Predictive Control (ENMPC) is used to maximize power production in the presence of constraints for a floating Vertical-Axis Wind Turbine (VAWT) under development with the support of the ARPA-e ATLANTIS program. The ENMPC is a first-generation controller that considers only the rotor dynamics. The loads applied by the rotor on the floating platform are modeled using aerodynamic force expressions without explicit consideration of the floating platform degrees of freedom. These loads and other rotor states constitute the constraints in the ENMPC formulation. VAWTs have nonlinear and periodic behavior due to the cyclic variation of the aerodynamic torque with angular blade position. Fourier series approximation of aerodynamic coefficients coupled with the softening of certain constraints reduces computational complexity and enables real-time application of ENMPC. This first-generation control solution is demonstrated on a 5-MW VAWT, with encouraging results.
ISSN:2378-5861
DOI:10.23919/ACC53348.2022.9867846