The aim for this paper is a proportional and integral (PI) controller and fuzzy logic (FLC) controller devoted to improve the performance of Direct field orient control (DFOC) strategy of doubly star induction motor (DSIM) fed by two inverters. In addition, the paper describes a model of doubly star induction motor in d-q reference frame theory and its computer simulation in MATLAB/SIMULINK®, fed by Pulse Width Modulation (PWM) inverter to be studied. The performance of the Direct Field orientated control with a PI and FLC is tested under different speed command and load disturbances. And also show a better robustness beside the parametric variations of the motor.

The main disadvantage of the classical direct torque control is high torque and flux ripples. This is due to hysteresis comparators suffer from a variable switching frequency and a high torque ripple. Besides, a hybrid strategy; Direct Torque Control with Space Vector Modulation (DTC-SVM) is established using Interval Type-2 Fuzzy Logic Controller (IT2FLC) for enhancing control performance parameters to reducing torque and flux ripple. In this work, a IT2FLC is applied to the DTC-SVM of Double Stator Induction Machine (DSIM). Simulation results are shown to present the robustness and efficiency of the recommended control strategy.

In the paper an analysis of the Direct Field Control Fuzzy logic type-2 of induction motor drive with broken rotor bars is presented. The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. Artificial intelligent has found high application in most nonlinear systems same as motors drive. Because it has intelligence like human but there are no sentimental against human like angriness and.... Artificial intelligent is used for various points like approximation, control, and monitoring. Because artificial intelligent techniques can use as controller for any system without requirement to system mathematical model, it has been used in electrical drive control. With this manner, efficiency and reliability of drives increase and volume, weight and cost of them decrease.

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This paper concerns the study of a direct torque control based on fuzzy logic type-2 for the speed regulation of a doubly star Induction Machine fed by voltage source inverter. This command has become one of the high performance control strategies for AC machine to supply a very rapid torque and flux control. The proposed technique consists to change the proportional and integral controllers by type-2 fuzzy logic controller. The performance of the scheme in different operating conditions is studied. Particular interest is given to the robustness of the fuzzy logic based control. Furthermore, the simulation results illustrate the efficiency and robustness of the type-2 fuzzy logic controller.