Modeling and Control of a Buck DC-DC Converter Based on Artificial Neural Network

Modeling and Control of a Buck DC-DC Converter Based on Artificial Neural Network

Registration ID: IJNRD_222549

Published ID: IJNRD2405696

DOI: Click Here to Get

FILZA AHSAN , AVINASH KUMAR DEWANGAN , Dr. RITESH DIWAN

Power electronics, Buck converter, PID control, neural network, modeling and analysis, Continuous conduction mode (CCM), discontinuous conduction mode (DCM), NARMA –L2

The dc-dc converters are highly efficient tools to supply power to different systems, they have a nonlinear behavior and variations at their main parameters could affect their stability. This paper proposes the Artificial Neural network (ANN) methodology to control the output voltage of a dc- dc buck converters. The mathematical model and simulation of the nonlinear dc-dc buck converter is represented in this work . The conventional PID controller of a dc-dc converter is illustrated as an example of comparison. The proposed technique is evaluated on a dc-dc buck converter under different operating conditions (no-load and full load condition) by using MATLAB Simulink software. The results proved the fast response and robustness of the proposed neural controller with no significant additional cost were compared with traditional PID controller technique.

Published Paper   E-Certificate

"Modeling and Control of a Buck DC-DC Converter Based on Artificial Neural Network", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 5, page no.g792-g797, May-2024, Available :https://ijnrd.org/papers/IJNRD2405696.pdf

Volume 9 Issue 5, May-2024

Pages : g792-g797

Paper Reg. ID: IJNRD_222549

Published Paper Id: IJNRD2405696

Downloads: 000121168

Research Area: Engineering

Country: Bilaspur , Chhattisgarh , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405696.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405696

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area