Conference paper
Individual Pitch Control Using LIDAR Measurements
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 |
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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 |
Adaptation models Fluctuations LIDAR measurements Rotation measurement blade element momentum theory blades first principle modeling flexible structure flexible structures full load region individual pitch control machine control model predictive control nonlinear dynamics nonlinear system nonlinear systems optical radar optimization problem position control predictive control series (mathematics) time varying system time-varying systems variable pitch wind turbine variable speed wind turbine wind turbines