MOGA-Based Design and Control of a DC-DC Buck Converter with Voltage and Current Loops

Asma Alfergani*, Salma Elkawafi, Tasneem Mohamed Nour, Ashraf Khalil, Faisal Mohamed, Ali Asheibi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


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.
Original languageEnglish
Title of host publicationProceedings of 2023 14th International Renewable Energy Congress (IREC)
Number of pages6
Publication date2024
ISBN (Electronic)979-8-3503-4284-0
Publication statusPublished - 2024
Event14th International Renewable Energy Congress - Sousse, Tunisia
Duration: 16 Dec 202318 Dec 2023


Conference14th International Renewable Energy Congress
Series2022 13th International Renewable Energy Congress (irec)


  • DC-DC buck converter
  • DC microgrid
  • Stability
  • PI controller
  • MOGA
  • Objective functions


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