Article
High Order Recurrent Neural Control for Wind Turbine with a Permanent Magnet Synchronous Generator
Fecha
2010-12-15Registro en:
Revista Computación y Sistemas; Vol. 14 No. 2
1405-5546
Autor
Ricalde, Ricalde
Cruz, Braulio J.
Sánchez, Edgar N.
Institución
Resumen
Abstract. 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.