Oversampling Multi-Variable Control for Soft-Switching Solid-State Transformer

Decheng Yan, Aniruddh Marellapudi, Rajendra Prasad Kandula, Deepak Divan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper presents two oversampling based control methods for a multiport low-inertia current-source soft-switching solid-state transformer (S4T). The traditional duty cycle or model predictive control calculates the reference currents and the duty cycle for each port, requiring accurate model prediction and sophisticated control design to balance the input and output power on a per cycle basis. To reduce the computational burden and enable the use of a simpler and more cost-effective microcontroller, two oversampling based control methods are proposed. This type of control exhibits unusual properties, such as unequal switching frequencies at individual ports and across the high frequency transformer. The proposed methods can be extended to cover more ports, simply by adding states in the state machine, thus demonstrating multi-variable control. These methods show promise in the implementation of control for very low-cost multiport converter systems.

Original languageEnglish
Title of host publication2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3476-3483
Number of pages8
ISBN (Electronic)9781728151359
DOIs
StatePublished - 2021
Externally publishedYes
Event13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Canada
Duration: Oct 10 2021Oct 14 2021

Publication series

Name2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Conference

Conference13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Country/TerritoryCanada
CityVirtual, Online
Period10/10/2110/14/21

Keywords

  • CSI
  • Oversampling
  • SST
  • Soft-switching
  • Σ Δ modulation

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