A. Barazzouk et al., FIELD-ORIENTED CONTROL OF INDUCTION-MOTORS USING NEURAL-NETWORK DECOUPLERS, IEEE transactions on power electronics, 12(4), 1997, pp. 752-763
This paper presents a novel approach to the field-oriented control (FO
G) of induction motor drives. It discusses the introduction of artific
ial neural networks (ANN's) for decoupling control of induction motors
using FOC principles. Two ANN's are presented for direct and indirect
FOC applications. The first performs an estimation of the stator flux
for direct field orientation, and the second is trained ten map the n
onlinear behavior of a rotor-flux decoupling controller. A decoupling
controller and flux estimator were implemented upon these ANN's using
the MATLAB/SIMULINK neural-network toolbox. The data for training are
obtained from a computer simulation of the system and experimental mea
surements. The methodology used to train the networks with the backpro
pagation learning process is presented. Simulation results reveal some
very interesting features and show that the networks have good potent
ial for use as an alternative to the conventional field-oriented decou
pling control of induction motors.