Enhanced Vector Control of Induction Motor by Fuzzy Logic Controller

The Fuzzy Logic Speed Controller (FLSC) is often used in motor drive applications because of its resilience and its ability to function without relying on specific plant characteristics. Nevertheless, the implementation of this approach in real-time is computationally demanding and susceptible to errors in selecting fuzzy rules, leading to system failure in the drive. This work presents an enhanced approach to the Fuzzy Logic Speed Controller (FLSC) by using precise computations of the crisp output to tackle these concerns. The first step is outlining a methodical approach for the process of reducing fuzzy rules. Next, a thorough assessment of the activated crisp output data is conducted to ascertain the prevailing fuzzy rules. According to the suggested approach, the total number of regulations was decreased. The simplified Field-Oriented Speed Control (FLSC) rule is evaluated on the Induction Motor (IM) drives system, with real-time implementation conducted in the dSPACE DS1104 controller environment. The modelling and experimental findings, using the suggested FLSC, have shown the feasibility of the reduced regulations without compromising the motor's performance.