Optimal Fractional Order Controller Design for a DC Buck Converter

al-order controllers (FOCs) have performed well in electronic systems. Nevertheless, obtaining optimal parameters for these controllers in such systems continues to be a challenging task. This article introduces optimized controllers with fractional-order characteristics, specifically the fractional-order proportional-integral (FOPI), proportional-derivative (FOPD), and proportional-integral-derivative (FOPID) controllers,designed for the control of a DC buck converter through the utilization of the Mayfly optimization technique (MOA). The MOA draws its inspiration from the flight behavior and mating process of mayflies, and it amalgamates key benefits from both swarm intelligence and evolutionary algorithms.The proposed method combines the objectives of Zwe-Lee Gaing (ZLG) and the integral of squared error (ISE) into a new cost function. The results indicate that the utilization of the FOPID controller leads to improved closed-loop performance and strengthens the system's robustness. In contrast to the conventional controller, the MOA-FOPID controller exhibits enhanced transient and dynamic response characteristics.