Speed Control of Induction Motor using Fuzzy Logic Controller and DTC Strategy

The sole factor driving people toward electric vehicles is the growing expense of fossil fuels, which produce emissions and are either slowly disappearing from the environment. This research paper focuses on the various issues that scientists are running into with power electronics, batteries, drive train and in some situations the range of an electric car. While BLDC drives are used by the majority of electric car manufacturers, they are not widely available and are best suited for smaller, more advanced electric vehicles that are not often with big loads. Nonetheless, electric vehicles currently use induction motors. An accurate motor model is needed in order to properly manage the speed of induction motors at high speeds and with excellent performance. Because of this, the controller design may have a significant impact on the system's efficacy. Although PID and other traditional controllers are commonly employed in induction motor controllers, their non-linear architecture makes them inappropriate. This study uses a fuzzy logic controller to manage the drive's speed in order to do that. Additionally, this machine's torque and flux were managed using a Direct Torque Control (DTC). To find out more about the structural study of induction motors, MATLAB/SIMULINK simulations were described. The results of this study could aid in the understanding of induction motors, fuzzy logic controllers, and DTC strategies by researchers. These components are utilized to increase the high speed, dependability, durability, low noise levels, and low repairs of electric automobiles.