Robust Model Predictive Control for Offshore Wind Turbine

This paper presents a control scheme that combines the benefits of model predictive control (MPC) and active disturbance rejection using generalized proportional integral (GPI) observers. The proposed control scheme was applied to a 5MW offshore wind turbine model. To validate the control approach a baseline controller is used, which combines an Indirect Speed Controller (ISC) and a collective blade pitch controller (CPC). Simulation results show that the Robust MPC can greatly reduce the rotor speed and power variations under full-load conditions and perfect wind preview.

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Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129803
Primary Topic
Wind Energy Research and Development
Type
article
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article

Robust Model Predictive Control for Offshore Wind Turbine

Rodolfo Villamizar, J.J. Carreño-Zagarra, Diana Poveda-Rodríguez, Jorge C. Reyes-Ardila
Wind Energy Research and Development
article

Robust Model Predictive Control for Offshore Wind Turbine

Rodolfo Villamizar, J.J. Carreño-Zagarra, Diana Poveda-Rodríguez, Jorge C. Reyes-Ardila
article en

Abstract

This paper presents a control scheme that combines the benefits of model predictive control (MPC) and active disturbance rejection using generalized proportional integral (GPI) observers. The proposed control scheme was applied to a 5MW offshore wind turbine model. To validate the control approach a baseline controller is used, which combines an Indirect Speed Controller (ISC) and a collective blade pitch controller (CPC). Simulation results show that the Robust MPC can greatly reduce the rotor speed and power variations under full-load conditions and perfect wind preview.

Universidad Industrial de Santander (CO)
Openalex Percentile: Top 68%
Wind Energy Research and Development
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