We will discuss in this work the application of hybrid technique on one of the most fast ac motor control called direct torque control (DTC). This control offers on one side better performance, and fast torque response but on the other side, it suffers from some drawbacks as the high torque ripples. These difficulties guided us to use a hybrid intelligent technique. Therefore, our contribution in this paper is to control DFIM by using DTC and supplied by photovoltaic energy, i.e, in one hand, this work aims to control the voltage by using maximum power point tracking (MPPT) technique combined with artificial intelligent as Fuzzy logic type 2, which have been successfully applied to several industrial areas to replace tracking power point perturb and observe (P&O). To improve the classical DTC performance and to reduce high torque ripples caused by the use of hysteresis comparators in classical DTC, we propose a fuzzy logic type-2 controller to replace these hysteresis comparators. So, this paper will present a novel fuzzy logic DTC with less torque ripple, controlled a doubly fed induction motor with durable energy, clean and environmentally friendly.

Keywords: Photovoltaic (PV), Photovoltaic generation (PVG), Direct torque control (DTC), Fuzzy logic type-2, Doubly fed induction generator (DFIG)