Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach

Liu, Yichao; Ferrari, Riccardo; van Wingerden, Jan-Willem

doi:https://doi.org/10.5194/wes-7-523-2022

Articles | Volume 7, issue 2

https://doi.org/10.5194/wes-7-523-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/wes-7-523-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 7, issue 2

Research article

|

11 Mar 2022

Research article |

| 11 Mar 2022

Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach

Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden

Video supplement

Output Constrained, Subspace Predictive Repetitive Control Approach for Wind Turbine Load Reduction Y. Liu https://doi.org/10.5446/50771

Video abstract

Output Constrained, Subspace Predictive Repetitive Control Approach for Wind Turbine Load Reduction Y. Liu https://doi.org/10.5446/50771

Short summary

The objective of the paper is to develop a data-driven output-constrained individual pitch control approach, which will not only mitigate the blade loads but also reduce the pitch activities. This is achieved by only reducing the blade loads violating a user-defined bound, which leads to an economically viable load control strategy. The proposed control strategy shows promising results of load reduction in the wake-rotor overlapping and turbulent sheared wind conditions.