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Performance Analysis of Classical Control Methods for Optimized Response in Buck Converters

  • Shivanshu Tripathi*
  • , Y. V.Pavan Kumar
  • , M. Kalyan Chakravarthi
  • , G. Pradeep Reddy
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To optimize efficiency and stability, the installation of exact control techniques is necessary in buck converters, as they very the key elements in effective conversion of DC voltage. This study investigates various classical controller tuning methods to enhance the performance of converters. The OLTR methods, UC methods, and the EPI methods are effectively implemented on the chosen benchmark transfer function system of the buck converter. This research evaluates the simulation outcomes based on time transient response metrics, namely delay time, rising time, peak overshoot, peak time, and settling time. Furthermore, frequency responses based on Bode plots are examined to evaluate the stability of the transfer function of the applied control techniques. This article concludes by inferring that the WJC method is the most suitable method for achieving greater stability, minimum overshoot, and improved steady-state control.

Original languageEnglish
Title of host publication2025 7th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331569570
DOIs
Publication statusPublished - 2025
Event7th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2025 - Mohali, India
Duration: 18-12-202520-12-2025

Publication series

Name2025 7th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2025

Conference

Conference7th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2025
Country/TerritoryIndia
CityMohali
Period18-12-2520-12-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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