Abstract

This article presents a cutting-edge advanced control strategy designed to optimize the performance of Doubly Fed Induction Motors (DFIM), prevalent in industrial applications demanding precise speed and torque regulation. Our approach combines Direct Torque Control (DTC) with an intelligent Fuzzy Logic Controller (FLC), incorporating a dynamic gain adaptation mechanism. DTC is chosen for its ability to deliver ultra-fast torque response and robust performance by directly controlling electromagnetic torque and stator flux. However, to overcome the limitations of conventional DTC, such as torque and flux ripples, an FLC is integrated at the heart of the control loop. The innovation of this work lies in the integration of an automatic gain adaptation system within the fuzzy controller. This mechanism, forming an Adaptive Gain Fuzzy Controller (AGFC), adjusts the system's responsiveness in real-time based on operating conditions (speed error and its derivative), providing superior robustness against load disturbances and motor parameter variations. This adaptive approach ensures optimal performance across a wide range of operating conditions, making it ideal for demanding industrial applications.

Key words: Doubly Fed Induction Motor (DFIM); Direct Torque Control (DTC); Fuzzy Logic Controller (FLC); Adaptive Gain Fuzzy Controller (AGFC)