International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 12, No 4: December 2021

Artificial intelligent techniques based on direct torque control of induction machines

Mona Magdy (Al-Azhar university)
Salama Abu-Zaid (Al-Azhar University)
Mahmoud A. Elwany (Al-Azhar University)



Article Info

Publish Date
01 Dec 2021

Abstract

The direct torque control (DTC) system, which is based on induction machine drive is a developed and simple control method. It allows high dynamic performance with very simple hysteresis control scheme; However, its disadvantages are high current, torque, and flux ripple. In this paper, DTC of induction machine drive has been improved by using the applications of artificial intelligence (AI) approaches to reduce the current, torque, and flux ripples and also get better performance of the machines. At the conclusion of this study, the outcomes of traditional DTC and artificial intelligent methods are compared. By the program MATLAB/SIMULINK, the modeling and simulation results of the DTC system for induction machine (IM) have been proposed.

Copyrights © 2021






Journal Info

Abbrev

IJPEDS

Publisher

Subject

Control & Systems Engineering Electrical & Electronics Engineering

Description

International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. ...