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Título : | High Order Recurrent Neural Control for Wind Turbine with a Permanent Magnet Synchronous Generator |
Otros títulos : | Control Neuronal Recurrente de Alto Orden para Turbinas de Viento con Generador Síncrono de Imán Permanente |
Autor : | Ricalde, Ricalde Cruz, Braulio J. Sánchez, Edgar N. |
Palabras clave : | Keywords. Neural networks, Wind turbine, Permanent magnet synchronous generator, Maximum power control, Lyapunov methodology. |
Fecha de publicación : | 15-dic-2010 |
Editorial : | Revista Computación y Sistemas; Vol. 14 No. 2 |
Citación : | Revista Computación y Sistemas; Vol. 14 No. 2 |
Citación : | Revista Computación y Sistemas;Vol. 14 No. 2 |
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. |
URI : | http://www.repositoriodigital.ipn.mx/handle/123456789/15146 |
ISSN : | 1405-5546 |
Aparece en las colecciones: | Revistas |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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133_Vol14No2_ART. 3.pdf | 540.66 kB | Adobe PDF | Visualizar/Abrir |
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