Enhanced Fitness Adaptive Differential Evolution Approach for Tuning of PID Controller in AVR System

To upgrade the dynamic performance of the Automatic Voltage Regulator (AVR), several control strategies have been implemented by control engineers. The Proportional-Integral-Derivative (PID) controller is the most widely used among all the controllers that have been reported. In order to enhance the AVR system’s dynamic performance, this work addresses the design of a PID controller utilizing a unique optimization technique known as the Enhanced Fitness Adaptive Differential Evolution Algorithm (EFADE). The EFADE algorithm demonstrates an excellent robustness in calculating the PID controller parameters. Time domain response and frequency domain response specifications are evaluated to validate the efficacy of the designed controller. Results reveal an improved dynamic response along with superior load disturbance rejection performance for the proposed EFADE-PID controller as compared to the recently published literature.