Event-Triggered Model Predictive Control for A Three-Phase Inverter with Output LC Filter

Benfei Wang, Jingjing Huang, Jose Rodriguez, Cristian Garcia, Guodong Feng

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

Abstract

This paper proposes an event-triggered model predictive control (ET-MPC) method for the three-phase inverter with output LC filter. The proposed method is developed by combining the conventional finite-control-set MPC (FCS-MPC) method and the ET control strategy. The ET control strategy incorporates a preset triggering condition based on the requirement of the regulation performance for the three-phase inverter. When the state of the three-phase inverter activates the triggering condition, FCS-MPC is triggered with the updated state so that the optimal control actions can be generated when it is necessary. If the state of the inverter is within the preset triggering condition, FCS-MPC is suspended and the control actions are held as constant. Consequently, the unnecessary online prediction, online optimization, and the corresponding control actions can be avoided. Therefore, with the tolerate regulation performance, the proposed ET-MPC can reduce the computational burden of the conventional FCS-MPC. The various simulation studies of the three-phase inverter are conducted and discussed to demonstrate the effectiveness of the proposed ET-MPC method.

Original languageEnglish
Title of host publicationProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1259-1263
Number of pages5
ISBN (Electronic)9781728151694
DOIs
Publication statusPublished - 9 Nov 2020
Event15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway
Duration: 9 Nov 202013 Nov 2020

Publication series

NameProceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Conference

Conference15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
CountryNorway
CityVirtual, Kristiansand
Period9/11/2013/11/20

Keywords

  • computational burden
  • Event-triggered control
  • inverter
  • model predictive control

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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