Investigation of Variable Switching Frequency in Finite Control Set Model Predictive Control on Grid-Connected Inverters

Luocheng Wang, Tiefu Zhao, Jiangbiao He

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Finite control set model predictive control (FCS-MPC) has been widely studied and applied to the power converters and motor drives. It provides the power electronics system with fast dynamic response, nonlinear system formulation, and flexible objectives and constraints integration. However, its variable switching frequency feature also induces severe concerns on the power loss, the thermal profile, and the filter design. Stemming from these concerns, this article investigates the variable switching frequency characteristics of FCS-MPC on the grid-connected inverters. An intuitive relationship between the switching frequency and the magnitude of the converter output voltage is proposed through the geometry analysis, where the switching frequency is maximized when the converter output voltage is around one-third of the DC bus voltage and decreasing when the output voltage moves away from this value. The impacts of this variable switching frequency property on the power loss and current harmonics are also analyzed. Simulation and experimental results both verify the proposed property. With this intrinsic property, FCS-MPC can autonomously achieve a less-varying temperature profile of power modules and an improved reliability compared with the conventional control strategy.

Original languageEnglish
Article number9462381
Pages (from-to)178-193
Number of pages16
JournalIEEE Open Journal of Industry Applications
Volume2
DOIs
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Finite control set model predictive control
  • geometry analysis
  • grid-connected inverter
  • power loss
  • switching frequency
  • switching state
  • voltage vector space

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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