title: Effective wind speed estimation: Comparison between Kalman Filter and Takagi-Sugeno observer techniques.
abstract: Advanced model-based control of wind turbines requires knowledge of the states and the wind speed. This paper benchmarks a nonlinear Takagi-Sugeno observer for wind speed estimation with enhanced Kalman Filter techniques: The performance and robustness towards model-structure uncertainties of the Takagi-Sugeno observer, a Linear, Extended and Unscented Kalman Filter are assessed. Hence the Takagi-Sugeno observer and enhanced Kalman Filter techniques are compared based on reduced-order models of a reference wind turbine with different modelling details. The objective is the systematic comparison with different design assumptions and requirements and the numerical evaluation of the reconstruction quality of the wind speed. Exemplified by a feedforward loop employing the reconstructed wind speed, the benefit of wind speed estimation within wind turbine control is illustrated.
authors.affiliation: HTW University of Applied Sciences Berlin, Department of Engineering I, Control Engineering Group, Wilhelminenhofstr. 75a, D-12459 Berlin, Germany. Electronic address: gauterin@htw-berlin.de.
authors.forename: Eckhard
authors.initials: E
authors.lastname: Gauterin
authors.affiliation: HTW University of Applied Sciences Berlin, Department of Engineering I, Control Engineering Group, Wilhelminenhofstr. 75a, D-12459 Berlin, Germany.
authors.forename: Philipp
authors.initials: P
authors.lastname: Kammerer
authors.affiliation: ForWind - University of Oldenburg, Institute of Physics, Ammerländer Heerstr. 136, D-26129 Oldenburg, Germany. Electronic address: martin.kuehn@forwind.de.
authors.forename: Martin
authors.initials: M
authors.lastname: Kühn
authors.affiliation: HTW University of Applied Sciences Berlin, Department of Engineering I, Control Engineering Group, Wilhelminenhofstr. 75a, D-12459 Berlin, Germany. Electronic address: schulte@htw-berlin.de.
authors.forename: Horst
authors.initials: H
authors.lastname: Schulte
keywords: Enhanced Kalman filter; Feedforward control; Takagi–Sugeno observer; Wind speed reconstruction; Wind turbine control