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Conference paper

Individual Pitch Control Using LIDAR Measurements

From

Department of Informatics and Mathematical Modeling, Technical University of Denmark1

Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark2

Department of Wind Energy, Technical University of Denmark3

Aeroelastic Design, Department of Wind Energy, Technical University of Denmark4

Department of Electrical Engineering, Technical University of Denmark5

Automation and Control, Department of Electrical Engineering, Technical University of Denmark6

In this work the problem of individual pitch control of a variable-speed variable-pitch wind turbine in the full load region is considered. Model predictive control (MPC) is used to solve the problem. However as the plant is nonlinear and time varying, a new approach is proposed to simplify the optimization problem.

Nonlinear dynamics of the wind turbine is derived by combining blade element momentum (BEM) theory and first principle modeling of the flexible structure. Then the nonlinear model of the system is linearized using Taylor series expansion around its operating points and a family of linear models are obtained.

The operating points are determined by LIDAR measurements both for the current and predicted future operating points. The obtained controller is applied on a full complexity, high fidelity wind turbine model. Finally simulation results show improved load reduction on out-of-plane blade root bending moments and a better transient response compared to a benchmark PI individual pitch controller.

Language: English
Publisher: IEEE
Year: 2012
Pages: 1646-1651
Proceedings: IEEE International Conference on Control Applications (CCA 2012)
Series: I E E E International Conference on Control Applications. Proceedings
Journal subtitle: Part of 2012 Ieee Multi-conference on Systems and Control
ISBN: 1467345032 , 1467345040 , 9781467345033 , 9781467345040 , 1467345059 and 9781467345057
ISSN: 25763210 and 10851992
Types: Conference paper
DOI: 10.1109/CCA.2012.6402691
ORCIDs: Poulsen, Niels Kjølstad , Niemann, Hans Henrik and Hansen, Morten Hartvig

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