Conference paper
A μ-Synthesis Approach to Robust Control of a Wind Turbine
Department of Informatics and Mathematical Modeling, Technical University of Denmark1
Mathematical Statistics, Department of Informatics and Mathematical Modeling, Technical University of Denmark2
Department of Electrical Engineering, Technical University of Denmark3
Automation and Control, Department of Electrical Engineering, Technical University of Denmark4
The problem of robust control of a wind turbine is considered in this paper. A set of controllers are designed based on a 2 degrees of freedom linearized model of a wind turbine. An extended Kalman filter is used to estimate effective wind speed and the estimated wind speed is used to find the operating point of the wind turbine.
Due to imprecise wind speed estimation, uncertainty in the obtained linear model is considered. Uncertainties in the drivetrain stiffness and damping parameters are also considered as these values are lumped parameters of a distributed system and therefore they include inherent uncertainties. We include these uncertainties as parametric uncertainties in the model and design robust controllers using the DK-iteration method.
Based on estimated wind speed a pair of controllers are chosen and convex combination of their outputs is applied to the plant. The resulting set of controllers is applied on a full complexity simulation model and simulations are performed for stochastic wind speed according to relevant IEC standard.
Language: | English |
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Publisher: | IEEE |
Year: | 2011 |
Pages: | 645-650 |
Proceedings: | 50th IEEE Conference on Decision and Control and European Control Conference |
ISBN: | 1467304573 , 1612847994 , 1612848001 , 161284801X , 161284801x , 9781467304573 , 9781612847993 , 9781612848006 and 9781612848013 |
ISSN: | 25762370 and 07431546 |
Types: | Conference paper |
DOI: | 10.1109/CDC.2011.6161124 |
ORCIDs: | Niemann, Hans Henrik and Poulsen, Niels Kjølstad |
Computer languages DK-iteration method Damping Europe IEC standard Kalman filters Mathematical model Positron emission tomography Wind turbines complexity simulation model control system synthesis damping damping parameter distributed control distributed system drivetrain stiffness elasticity extended Kalman filter iterative methods linear systems lumped parameter parameter estimation parametric uncertainties robust control robust controller disign stochastic wind speed two-degree of freedom linearized model wind speed estimation wind turbine wind turbines μ-synthesis approach