Intelligent Control of Induction Motor

The Direct Torque Control (DTC) is one of the most effective control and modern methods for high performance AC drives in a wide variety of industrial application and conventional DTC technique uses two constant reference values stator flux and torque ripple. In this paper, two approach intelligent techniques such as fuzzy logic (FL) and Artificial Neural Networks (ANN) used to improving the performance of DTC drive in terms of switching frequency and stator flux estimation. In this work a proposed DTC system supported by a Neuro –Fuzzy Controller are constructed to avoid the inherent torque ripples. Simulation studies have been carried out with using MATLAB program. The proposed Direct Torque Control (DTC) system shows a considerable reduction in torque ripples and best starting performance. This improvement leads to an ability to increase the performance at low-load condition torque ripple are greatly reduced with respect to the conventional DTC.