Mirzaei, Mahmood7; Henriksen, Lars Christian4; Poulsen, Niels Kjølstad7; Niemann, Hans Henrik5; Hansen, Morten Hartvig3
1 Department of Informatics and Mathematical Modeling, Technical University of Denmark2 Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark3 Department of Wind Energy, Technical University of Denmark4 Aeroelastic Design, Department of Wind Energy, Technical University of Denmark5 Department of Electrical Engineering, Technical University of Denmark6 Automation and Control, Department of Electrical Engineering, Technical University of Denmark7 Department of Applied Mathematics and Computer Science, Technical University of Denmark
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.
Proceedings of the Ieee Conference on Control Applications: Part of 2012 Ieee Multi-conference on Systems and Control, 2012, p. 1646-1651
Main Research Area:
I E E E International Conference on Control Applications. Proceedings
IEEE International Conference on Control Applications (CCA 2012)