Sliding mode neural network control of an induction motor drive
G.G. Parma, Benjamim Rodrigues de Menezes, Antônio P. Braga, Marcelo Azevedo Costa · International Journal of Adaptive Control and Signal Processing · 2003
Abstract A new approach for induction motor drive control is presented in this paper. The new scheme is based on the direct application of an artificial neural network, trained with sliding mode control, into the feedback control system. Neural network learning is implemented with an on‐line adaptation algorithm that inherits robustness and high speed of learning from Sliding Mode Control. The results showed that proportional and integral or proportional, integral and differential controllers used in classical motor drives can be replaced with a neural network with on‐line learning. Copyright © 2003 John Wiley & Sons, Ltd.