An Advance Dtc-Svm Scheme For Speed Control Of Vsi Fed Induction Motor Using Fuzzy Logic Controller

Abstract

This paper presents an advanced Direct Torque Control-Space Vector Modulation (DTC-SVM) scheme enhanced with a Fuzzy Logic Controller (FLC) for precise speed control of Voltage Source Inverter (VSI) fed Induction Motors (IM). The proposed system combines the benefits of DTC's rapid torque response and SVM's improved voltage waveform quality, optimizing the performance of induction motors in various applications. In the conventional DTC-SVM approach, a fixed switching frequency is used, which can result in higher losses and harmonics. To address this limitation, our method employs FLC to adaptively adjust the switching frequency and voltage vectors based on real-time motor operating conditions. This adaptive control strategy enhances the motor's efficiency and minimizes harmonic distortions, leading to improved overall system performance. The effectiveness of the proposed scheme is evaluated through extensive simulations and experimental tests under varying load conditions. The results demonstrate superior speed control precision, reduced torque and flux ripples, and enhanced dynamic response compared to traditional DTC-SVM methods. Furthermore, the adaptive switching frequency ensures energy efficiency, reducing power losses and enabling smoother operation of the induction motor. In summary, the integration of Fuzzy Logic Control into the DTC-SVM scheme offers a robust and versatile solution for speed control of VSI-fed induction motors. This advanced control strategy can significantly benefit various industrial applications where precise speed control and energy efficiency are paramount.