Implementation and Comparative Analysis of a Fuzzy Logic Controller for Induction Motor Vector Control

Abstract

Indirect vector control of induction motor (IM) drives operates on the principle of decoupling the stator current into independent torque and flux-producing components. This paper presents the implementation of a Fuzzy Logic Control (FLC) scheme for an IM, based on its dynamic d-q model. An intelligent Fuzzy Logic Controller is designed using a knowledge-based rule set to achieve robust and efficient drive control. The performance of the proposed FLC is rigorously compared against a conventional fixed-gain Proportional-Integral (PI) controller. Key performance metrics include settling time and the dynamic response to sudden load disturbances. Furthermore, the harmonic spectrum of the output current is evaluated for both control strategies. The steady-state performance of the IM drive is analyzed, and comparative results are presented to demonstrate the superiority of the fuzzy logic-based approach.