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Induction Machine Current Loop Neuro Controller Employing a Lyapunov based Training Algorithm

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4 Author(s)
Restrepo, J. ; Dept. de Electron. y Circuitos, Univ. Simon Bolivar, Caracas ; Viola, J. ; Harley, R. ; Habetler, T.

This paper presents a practical implementation of a continually online trained artificial neural network (COT-ANN) employing a Lyapunov based training algorithm. The proposed Lyapunov based training algorithm ensures stability and a global minimum for the ANN weights. The COT-ANN is used to control a PWM based current loop in an induction machine. Real time simulations employing a DSP based test bench are used to test the validity of the algorithm and the results are verified by a practical implementation of this controller.

Published in:

Power Engineering Society General Meeting, 2007. IEEE

Date of Conference:

24-28 June 2007