Resumen
We present a new method to control a linear induction motor (LIM) using dynamic neural networks. First, we propose a neural identifier of triangular form; this neural model has the structure of a nonlinear block contrallable form (NBC). Then, a reduced order observer is designed in order to estimate the secondary fluxes. Finally, a sliding mode control is developed to track velocity and flux magnitude. Simulations are presented to illustrate the applicability of the proposed scheme.
Idioma original | Inglés |
---|---|
Páginas (desde-hasta) | 4041-4046 |
Número de páginas | 6 |
Publicación | Proceedings of the American Control Conference |
Volumen | 5 |
Estado | Publicada - 2003 |
Publicado de forma externa | Sí |
Evento | 2003 American Control Conference - Denver, CO, Estados Unidos Duración: 4 jun. 2003 → 6 jun. 2003 |