Periodic Load Estimation of a Wind Turbine Tower using a Model Demodulation Transformation

Periodic Load Estimation of a Wind Turbine Tower using a Model Demodulation Transformation

Pamososuryo, A.K. (TU Delft Team Jan-Willem van Wingerden)
Mulders, S.P. (TU Delft Team Jan-Willem van Wingerden)
Ferrari, Riccardo M.G. (TU Delft Team Riccardo Ferrari)
van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden)

2022

The ever-increasing power capacities of wind turbines promote the use of tall and slender turbine towers. This poses a challenge from a fatigue loading perspective by the relocation of the first and lightly-damped tower side-side natural frequency into the turbine operating regime, promoting its excitation during nominal operation. The excitation of this resonance can be aggravated by periodic loading in the presence of rotor mass and/or aerodynamic imbalance. Earlier work already presented a method to prevent the side-side excitation using a combination of model demodulation and quasilinear parameter varying model predictive control techniques. However, the method does not incorporate features for active control for side-side load mitigations. Because the information of the beforementioned periodic side-side loading is unknown and unmeasurable in practical scenarios, this paper presents a Kalman filtering method for its estimation in a demodulated fashion. The Kalman filter employs an extended demodulated wind turbine model augmented with random walk models of the periodic load. The simulation result demonstrates the effectiveness of the proposed method in estimating the periodic load components along with unmeasurable tower states in their demodulated form. These estimates pose an opportunity for use in future advanced controller designs for active load reductions.

Torque
Tracking
Poles and towers
Loading
Estimation
Mathematical models
Wind turbines

http://resolver.tudelft.nl/uuid:52cfca5f-8656-4f21-b363-e9b5f34bf501

https://doi.org/10.23919/ACC53348.2022.9867768

IEEE

2023-03-05

978-1-6654-5196-3

Proceedings of the American Control Conference (ACC 2022)

2022 American Control Conference, ACC 2022, 2022-06-08 → 2022-06-10, Atlanta, United States

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2022 A.K. Pamososuryo, S.P. Mulders, Riccardo M.G. Ferrari, J.W. van Wingerden