Artificial Intelligence Approaches for Direct Torque Control of Induction Motor

摘要

This paper presents two intelligent techniques to replace convention-al comparators and selection table of direct torque control for induction ma-chines, namely the fuzzy logic and neural network artificial. The comparison with the conventional direct torque control, proves that the use of FL-DTC and ANN-DTC, reduced torque ripple electromagnetic flux and stator current.Sim-ulation results prove the effectiveness and the performances proposed strate-gies.