# Golden eagle optimized fractional-order PI controller design for a PFC SEPIC converter in EV charging

## TL;DR

This paper introduces a new method using Golden Eagle optimization to design a better controller for electric vehicle chargers, improving performance and stability.

## Contribution

The novelty lies in applying Golden Eagle optimization to tune a fractional-order PI controller for a SEPIC converter in EV charging.

## Key findings

- The optimized FOPI controller reduces settling time and inrush current in the converter.
- The system shows faster dynamic response and lower harmonic distortion compared to conventional methods.
- Simulation results confirm improved stability and performance using the proposed optimization technique.

## Abstract

The power factor correction converter is the function of the front-end converter, followed by the DC–DC converter of the electric vehicle charger. It improves the power factor and regulates the output voltage and current. This research article proposes the Golden Eagle optimization for fractional order PI (FOPI) controller for Single Ended Primary Inductor Converter (SEPIC) power factor correction. The Golden eagle optimization is based on its knowledge of hunting tactics at various degrees of spiral trajectories to catch the prey. The FOPI controller has a broad range of controller parameters that provide better control and performance of the converter. The tuning of the parameters of the FOPI controller is optimized in Golden Eagle Optimization, and the Integral Absolute error with Integral Square error is used for the objective function. The optimized parameters of FOPI compare with the conventional PI controller performance. The SEPIC converter is designed and derived from the state space model by state space averaging, and the reduced model is obtained through the moment matching method. This system is tested under MATLAB/SIMULINK, and simulation results show improved settling time, fast dynamic response, reduction of inrush current, less harmonic distortion, and stability.