Optimum design of a fractional order PID Controller for AVR system to tune the terminal voltage of a synchronous generator using Cuckoo Optimization Algorithm

One of the simplest and most commonly used control methods for using in automatic voltage regulators (AVR) is the PID controller. On the other hand, Fractional calculus has recently been proposed as a powerful tool in the modeling and control of dynamic systems in control engineering, whose abilities and applications of this theory are being studied in academic research. In the control of dynamic systems, fractional-order controllers can improve the performance and control capabilities of the system. In this paper, a multi-objective approach to designing an optimal fractional PID controller for regulating the output voltage of the synchronous generator is investigated using cuckoo optimization algorithm. The proposed cost function includes rise time, settling time, steady state error and overshoot. The comparative results obtained show that the fractional PID controller has a higher robustness to parametric uncertainties and disturbance than the classic PID controller. The comparative results obtained show that the fractional PID controller has a higher robustness to parametric uncertainties and disturbance than the classic PID controller.