@inproceedings{fdc268d9c88049f5877b3381246e4a55,
title = "MOGA-Based Design and Control of a DC-DC Buck Converter with Voltage and Current Loops",
abstract = "This paper presents a comprehensive study on the design, stability, and control of a DC-DC buck converter, employing simulation analysis using MATLAB/SIMULINK. The control system encompasses dual loops, one for voltage and another for current regulation. Voltage and current control are achieved through the application of proportional-integral (PI) controllers. To optimize the performance of these controllers, a Multi-Objective Genetic Algorithm (MOGA) is employed to determine the optimal PI controller gains. Various objective functions for MOGA are rigorously tested to ascertain the most effective performance for the system. The simulation results corroborate the stability and efficiency of the DC-DC buck converter, validating its robust operation under various conditions.",
keywords = "DC-DC buck converter, DC microgrid, Stability, PI controller, MOGA, Objective functions",
author = "Asma Alfergani and Salma Elkawafi and Nour, {Tasneem Mohamed} and Ashraf Khalil and Faisal Mohamed and Ali Asheibi",
year = "2024",
doi = "10.1109/IREC59750.2023.10389264",
language = "English",
series = "2022 13th International Renewable Energy Congress (irec)",
booktitle = "Proceedings of 2023 14th International Renewable Energy Congress (IREC)",
publisher = "IEEE",
address = "United States",
note = "14th International Renewable Energy Congress ; Conference date: 16-12-2023 Through 18-12-2023",
}