%0 Journal Article
%T High Order Recurrent Neural Control for Wind Turbine with a Permanent Magnet Synchronous Generator
%A Ricalde
%A Luis J.
%A Cruz
%A Braulio J.
%A S¨˘nchez
%A Edgar N
%J Computaci¨®n y Sistemas
%D 2010
%I Instituto Polit¨¦cnico Nacional
%X in this paper, an adaptive recurrent neural control scheme is applied to a wind turbine with permanent magnet synchronous generator. due to the variable behavior of wind currents, the angular speed of the generator is required at a given value in order to extract the maximum available power. in order to develop this control structure, a high order recurrent neural network is used to model the turbine-generator model which is assumed as an unknown system; a learning law is obtained using the lyapunov methodology. then a control law, which stabilizes the reference tracking error dynamics, is developed using control lyapunov functions. via simulations, the control scheme is applied to maximum power operating point on a small wind turbine.
%K neural networks
%K wind turbine
%K permanent magnet synchronous generator
%K maximum power control
%K lyapunov methodology.
%U http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=S1405-55462010000400004&lng=en&nrm=iso&tlng=en