A novel predictive control method with optimal switching sequence and filter resonance suppression for two-stage matrix converter

Zhengfei Di, Demin Xu, Luca Tarisciotti, Pat Wheeler

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a vector modulation-based model predictive current control strategy for a two-stage matrix converter. The switching frequency is kept constant by fixing the switching instantly. The control scheme controls the source reactive power on the input side and output currents on the output side. Besides, the advantage of the proposed strategy compared with conventional model predictive control is firstly proved using the principle of vector synthesis and the law of sines in the vector distribution area. Moreover, to ensure zero-current switching operations and reduce the switching losses, an optimal switching sequence is proposed and implemented. Furthermore, considering that the input filter resonance is easier to be inspired by the model predictive control, compared with conventional linear control strategies, an innovative active damping technique is proposed to suppress the input filter resonance. To assess the performance of the proposed method, simulation and experimental results are demonstrated, showing that the control system features both good steady-state and transient performance.

Original languageEnglish
Article number3652
JournalEnergies
Volume14
Issue number12
DOIs
Publication statusPublished - 2 Jun 2021

Keywords

  • Input filter resonance suppression
  • Model predictive control
  • Optimal switching strategy
  • Two-stage matrix converter
  • Vector modulation

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Energy (miscellaneous)
  • Control and Optimization
  • Electrical and Electronic Engineering
  • Engineering (miscellaneous)

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