Induction machine current loop neuro controller employing a Lyapunov based training algorithm

Abstract:

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. ©2007 IEEE.

Año de publicación:

2007

Keywords:

• Induction Motors
• Lyapunov methods
• Backpropagation
• Neural networks

Fuente:

scopus