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Neural identification and control of a linear induction motor using an α - β model

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3 Author(s)
V. H. Benitez ; CINVESTAV, Mexico City, Mexico ; A. G. Loukianov ; E. N. Sanchez

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 controllable 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.

Published in:

American Control Conference, 2003. Proceedings of the 2003  (Volume:5 )

Date of Conference:

4-6 June 2003