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

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4 Author(s)
J. Restrepo ; Member, IEEE, Departamento de Electrónica y Circuitos, Universidad Simón Bolívar, Caracas 1080-A, Venezuela; professor, Electronics Engineering, Simon Bolivar University, Caracas, Venezuela. e-mail: ; J. Viola ; R. Harley ; T. Habetler

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