101 Downloads (Pure)

Abstract

This paper presents an intelligent hybrid fractional order controller for regulating the output voltage of a DC-DC buck converter feeding constant power loads. The controller combines tilt integral derivative and fractional order proportional integral derivative controllers. An artificial neural network is used for online adaptation of the controller gains to avoid the dependence on the response of the converter control system on operating point conditions. Real-time simulations demonstrate the effectiveness of the proposed method in regulating the output voltage and mitigating the impact of varying power loads. The proposed controller outperforms a backstepping controller and a hybrid controller with constant gains.
Original languageEnglish
Title of host publicationProceedings of the 2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
Number of pages7
PublisherIEEE
Publication date2023
Pages1-7
Article number10264454
ISBN (Print)979-8-3503-1678-0
ISBN (Electronic)978-9-0758-1541-2
DOIs
Publication statusPublished - 2023
Event2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe) - Aalborg, Denmark
Duration: 4 Sept 20238 Sept 2023

Conference

Conference2023 25th European Conference on Power Electronics and Applications (EPE'23 ECCE Europe)
Country/TerritoryDenmark
CityAalborg
Period04/09/202308/09/2023

Keywords

  • Artificial neural network
  • Buck DC-DC converters
  • Constant power load
  • Fractional Order Controller

Fingerprint

Dive into the research topics of 'An Intelligent Hybrid Fractional Order Controller for DC–DC Buck Converters Feeding Constant Power Loads'. Together they form a unique fingerprint.

Cite this