Conference paper
Frequency weighted model predictive control of wind turbine
Slovak University of Technology in Bratislava1
Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Dynamical Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Department of Electrical Engineering, Technical University of Denmark4
Automation and Control, Department of Electrical Engineering, Technical University of Denmark5
This work is focused on applying frequency weighted model predictive control (FMPC) on three blade horizontal axis wind turbine (HAWT). A wind turbine is a very complex, non-linear system influenced by a stochastic wind speed variation. The reduced dynamics considered in this work are the rotational degree of freedom of the rotor and the tower for-aft movement.
The MPC design is based on a receding horizon policy and a linearised model of the wind turbine. Due to the change of dynamics according to wind speed, several linearisation points must be considered and the control design adjusted accordingly. In practice is very hard to measure the effective wind speed, this quantity will be estimated using measurements from the turbine itself.
For this purpose stationary predictive Kalman filter has been used. Stochastic simulations of the wind turbine behaviour with applied frequency weighted model predictive controller are presented. Statistical comparison between frequency weighted MPC, standard MPC and baseline PI controller is shown as well.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2013 |
| Pages: | 347-352 |
| Proceedings: | 19th International Conference on Process Control (PC 2013) |
| ISBN: | 1479909262 , 9781479909261 , 1479909270 and 9781479909278 |
| Types: | Conference paper |
| DOI: | 10.1109/PC.2013.6581435 |
| ORCIDs: | Poulsen, Niels Kjølstad and Niemann, Hans Henrik |
Aerospace electronics Frequency control Kalman filters MPC design Oscillators PI control Poles and towers Standards Wind speed Wind turbines baseline PI controller blades complex nonlinear system control design control system synthesis frequency weighted model predictive control linearisation points linearisation techniques linearised model predictive control receding horizon policy rotational degree of freedom rotor rotors standard MPC stationary predictive Kalman filter stochastic simulation stochastic wind speed variation three blade horizontal axis wind turbine tower for-aft movement wind turbines
