Moving discretised control set - Model predictive control for dual-active-bridge

Luca Tarisciotti, Chen Linglin, Patrick Wheeler, Pericle Zanchetta

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

3 Citations (Scopus)


In many DC/DC converters applications, classical proportional-integral control is often considered. However, when complex converters structures, such as Dual Active Bridge converters, are considered, several challenges may be faced in the control design. In fact, achieving an accurate Dual Active Bridge model may be complex, considering that the small signal model of the circuit varies according with its operating mode. Moreover, Dual Active Bridge converters usually requires a robust control design, due to their high input/output voltage ratio and power level. In order to address these issues, a Moving Discretized Control Set - Model Predictive Control is introduced. The proposed control can achieve faster dynamics and stable operation throughout the power and terminal voltage ranges, considering global control parameters. It also presents a fixed switching frequency with low computational burden, due to the use of only two prediction horizons. Experiments on a 20kHz 1kW Dual-Active-Bridge converter are carried out to verify the effectiveness of the proposed control technique.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728157542
Publication statusPublished - Feb 2020
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: 26 Feb 202028 Feb 2020

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology


Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
CityBuenos Aires


  • Dual Active Bridge
  • Power Electronics
  • Predictive Control

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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