Broadband Modeling of Power Distribution Networks

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

This paper proposes a modeling and simulation procedure of power distribution networks (PDN) based on polynomial fitting and bilinear transformation to generate datasets for data-driven control of DCDC converters. A measurement setup is proposed which enables the definition of PDN capturing its broadband and high dynamic range characteristics. In order to quantify the modeling error, a method for measuring the required signals and for efficient simulation is proposed. The modeling and simulation procedure is applied to a measured PDN and the modeling error is discussed.

Details

Original languageEnglish
Title of host publication2024 SICE International Symposium on Control Systems, SICE ISCS 2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages14-18
Number of pages5
ISBN (electronic)9784907764814
Publication statusPublished - 2024
Peer-reviewedYes

Conference

Title2024 SICE International Symposium on Control Systems
Abbreviated titleSICE ISCS 2024
Duration18 - 20 March 2024
Website
LocationHiroshima University
CityHigashi-Hiroshima
CountryJapan

Keywords

Keywords

  • data-driven control, frequency-domain responses, power distribution network (PDN), rational interpolation