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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.

The doubly-fed induction generator driven by a Wind Turbine has received attention from the industrial and scientific communities, due to fixed frequency voltage from the stator windings when the rotor is driven at variable speed and excitation of power electronics converter feeding through rotor windings can be less than other types at nominal power of the generator. This paper give the design and study of doubly-fed induction generator (DFIG) for wind energy systems, this model is proposed for the seamless operation. The control on Grid side converter (GSC) and Rotor side converter (RSC) through detailed simulation will be studied on a 1.5-MW wind generator.

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