The paper deals with the LQG controller design optimizing the amount of power produced by two bladed horizontal variable speed wind turbines. The proposed controller ensures not only an optimal operation of turbines but also enables a compromise with the minimization of the blade oscillations and with the tower bending tendency.
International audienceThe objective of this paper is to provide an insight into the performances of available identification algorithms for estimating the model of an active suspension system in the presence of narrow band disturbances. Various algorithms from the general class of SISO systems are compared. Furthermore, a new method is proposed that combines the use of an output error algorithm for the estimation of plant dynamics and a prediction error algorithm for disturbance dynamics. The methods have been tested on an active suspension using an inertial actuator
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