The impact of Adaptive Fuzzy Logic on the regulation of induction motor speed

. This study presents a novel approach to developing an adaptive fuzzy logic controller to regulate the speed of a three-phase induction motor. In this paper, we introduce the motor model and various control schemes, such as vector control and PI controllers. We use simulations to test how well two fuzzy controllers, RLF3 and RLF5, can accurately track speed and ignore disturbances, and then we compare their performance to that of a PI controller. Ultimately, it was discovered that fuzzy controllers, particularly the RLF5 controller, possess the ability to diminish the PI response while also exhibiting enhanced speed, greater resilience to parameter variations, and reduced power consumption.