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Abstract
AbstractIn this paper, a recent subspace-based identification approach is used to obtain an experimental model of a smart rotor, which is a wind turbine rotor equipped with a number of additional actuators and sensors to react to turbulence in a more detailed way. To make sure that the eventual controller is robust, it is essential to quantify the model uncertainty. In this paper a novel bounded error approach is tailored towards the characteristics of the smart rotor. It is shown that the suggested approach can provide realistic uncertainty bounds on the estimated model of a prototyped smart rotor.
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