PROJECT TITLE :

Sensor less Stator Field Oriented-Direct Torque Control with SVM for Induction Motor Based on MRAS and Fuzzy Logic Regulation - 2017

ABSTRACT:

This paper deals with improvement of Direct Torque Control strategy for induction motor (IM) drive. Since the most disadvantages of the classical DTC are high torque/flux ripples and current distortion, this paper inserts the space vector modulation so as to reduce the ripples by maintaining a relentless switching frequency. Besides, the fuzzy logic controllers can replace the traditional proportional-integral (PI) controllers for stator flux and torque regulation and to ensure an correct reference tracking and a robust response against completely different uncertainties like external disturbance and parameters variation. Furthermore, a stator flux primarily based Model Reference Adaptive System (SF-MRAS) is intended as a sensorless algorithm for the estimation of rotor speed. This estimator will improve the performance of the controlled system by increasing its reliability and decreasing the value of the speed sensor. The world control algorithm has been investigated via numerical simulation and real-time experimentation using Matlab/Simulink with dSpace 1104 signal card.