Adaptive Neuro-Fuzzy Speed Regulator Applied in Direct Torque Control for Induction Motor Drive Using Multilevel Inverter

摘要

Direct Torque Control is one of the latest techniques of induction motor drive control. DTC permits to obtain a quick torque and speed responses without complex orientation transformation and any inner loop current control, but its main drawbacks are in the torque ripple and the current distortion. For solving these problems, this paper presents a DTC with a multilevel inverter to control the induction motor applied to an adaptive neuro-fuzzy speed controller. The results of the new proposed controller are compared to those obtained using a conventional PID. The system modeling and simulations are implemented in MATLAB/SIMULINK environment.