Comparative Analysis of PI Controller versus Fuzzy Logic Controller for Dual Star Induction Machine Speed Regulation

In this research, we conduct a comparative analysis of PI and fuzzy logic controllers for speed regulation of a Dual Star Induction Machine (DSIM). The machine is powered by two PWM voltage source inverters (VSI) and utilizes field-oriented control (FOC) for decoupling. Our simulation framework implements both controllers using MATLAB/Simulink, featuring error calculation modules for speed deviation processing, fuzzy inference systems with rule-based decision making, and PWM generation algorithms for inverter control. The study evaluates controller robustness and efficiency under parametric variations through comprehensive simulation scenarios. Performance metrics include response time, overshoot analysis, and disturbance rejection capabilities. This comparative investigation provides insights into optimal control strategy selection for DSIM applications across various operating conditions, with particular emphasis on implementation considerations such as tuning parameters for PI controllers and membership function optimization for fuzzy systems.