Torque Ripple minimization of vector controlled VSI Induction Motor Drive using Neuro-Fuzzy Controller

This paper presents Neuro-fuzzy based Torque controller for indirect vector controlled VSI fed induction motor drive. The proposed controller significantly reduces the torque ripple compared to that of conventional PI controllers without using filter. The performance of the vector controlled induction motor drive has been simulated with and without loading conditions using the Neuro-fuzzy controller and the results are compared with PI controller. Additionally, a SVPWM algorithm in which the calculation of switching times proportional to the instantaneous values of the reference phase voltages is used. It eliminates the need the calculation of sector and angle information.