Optimal Fractional order PID control of a Buck-Boost converter using Mayfly algorithm (MA)

Abstract

Voltage regulators, such as Buck-Boost converters, are necessary to provide constant voltage within an operating range for electronic devices. The Buck-Boost converter's duty cycle determines whether it operates in a buck or boost mode, depending on the input DC voltage amplitude. A Fractional Order PID (FOPID) controller generates the control signal based on the duty cycle, as it provides flexibility and stability for non-linear systems. Tuning the controller's parameters to achieve desired response characteristics is necessary. This study aims to compare the new Mayfly algorithm's performance with other optimization algorithms such as Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), RAO-series, etc., including meta-heuristic and non-meta-heuristic, in estimating the controller's optimal parameters for a given Buck-Boost converter model. A variable voltage input is used to test the controller's stability. The study compares results from three objective functions using different implemented algorithms. Overall, the study highlights the importance of selecting the right optimization algorithm to ensure optimal performance and stability of the controller for non-linear systems.