Digital One-Cycle Control Method Based on Current Prediction

  • Dahui Zhang
  • , Congzhe Gao*
  • , Junliang Chen
  • , Ziwei Wang
  • *Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper proposes a digital one-cycle control method based on current prediction, which reduces the sampling rate requirements of the converter in high-frequency control, reduces the influence of current sampling delay, and improves the bandwidth and control accuracy of digital one-cycle control. This paper takes the bidirectional Buck/Boost converter as an example to introduce the working principle of current-type one-cycle control, and completes the digital one-cycle predictive controller design by combining current sampling with current prediction on the basis of digital one-cycle control, and replacing analog circuits with digital integrators and comparators. Finally, the simulation verification is completed based on the Matlab/Simulink simulation platform, and the simulation results show that the method can well realize the inductor current prediction and has the same control effect as the one-cycle control.

Original languageEnglish
Title of host publication2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5109-5113
Number of pages5
ISBN (Electronic)9798350317589
DOIs
Publication statusPublished - 2023
Event26th International Conference on Electrical Machines and Systems, ICEMS 2023 - Zhuhai, China
Duration: 5 Nov 20238 Nov 2023

Publication series

Name2023 26th International Conference on Electrical Machines and Systems, ICEMS 2023

Conference

Conference26th International Conference on Electrical Machines and Systems, ICEMS 2023
Country/TerritoryChina
CityZhuhai
Period5/11/238/11/23

Keywords

  • Bidirectional Buck/Boost converter
  • Current prediction
  • Digital one-cycle control
  • High frequency control
  • Sampling rate

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