Torque ripple minimization of Indirect Vector Control of Induction Motor using Type 2 Neuro Fuzzy Logic Controller

The Type 2 neuro fuzzy controller combines the
advantageous of neural networks and fuzzy systems and it has
become a popular approach in engineering fields for modelling and controlling of an induction motor. This paper presents torque ripple minimization scheme of an induction motor using type2 neuro fuzzy controller (T2NFC).The performance of the proposed T2NFC based induction motor drive is compared at different operating conditions with conventional proportional integral (PI) controller and it shows that the torque ripple is reduced as compared to the PI controller. The simulated results shows that the T2NFC is more efficient and it is found to be a suitable replacement of the conventional PI current controller for the high performance of induction motor drives.