Fuzzy PID Controller Design for Enhanced Voltage Regulation in Automatic Voltage Regulator System

This paper presents a comprehensive investigation into the application of a fuzzy proportional-integral-derivative (FPID) controller for improving voltage regulation in automatic voltage regulator (AVR) systems. The conventional Proportional-Integral-Derivative (PID) control strategy is augmented with fuzzy logic (FL) to address the challenges associated with nonlinearities, uncertainties, and dynamic variations in power systems. This paper delves into the design process, including the selection of appropriate fuzzy sets, membership functions (MF), and rule base construction. Special emphasis is placed on the tuning of fuzzy parameters to optimize the controller's performance in voltage regulation tasks. Comparative studies are conducted to evaluate the FPID controller against traditional PID, simple fuzzy controllers (FCs), and recently published literature to showcase its superior adaptability in scenarios where precise system models are challenging to attain. Simulation results are obtained in MATLAB/SIMULINK to demonstrate the efficacy of the FPID controller in maintaining voltage stability, reducing settling time, overshooting, improving the transient response of the AVR system, and contributing to its robustness in the presence of changing system time constants.