Model-Free Predictive Control based on ARX Representation: A Comparative Assessment with Proportional-Integral Regulator

Catalina Gonzalez-Castano, Freddy Flores-Bahamonde, Hector Young, Rasool Heydari, Sanaz Sabzevari, Jose Rodriguez

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

3 Citations (Scopus)

Abstract

This paper presents a performance comparison between the well-known proportional-integral regulator based on pulse-width-modulation (PWM) and the novel model-free predictive control for the current regulation of a three-phase two-level voltage-source inverter. Recently, model-free predictive control has been proposed to provide an accurate prediction of the current control without previous knowledge of the physical system. This approach is realized with a recursive least squares algorithm to identify the parameters of an auto-regressive with exogenous input model. Simulated results verify the high performance of model-free predictive control compared to the linear regulator under model parameter mismatch.

Original languageEnglish
Title of host publication6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages953-958
Number of pages6
ISBN (Electronic)9781665425575
DOIs
Publication statusPublished - 2021
Event6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 - Jinan, China
Duration: 20 Nov 202122 Nov 2021

Publication series

Name6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021

Conference

Conference6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
Country/TerritoryChina
CityJinan
Period20/11/2122/11/21

Keywords

  • Model-free predictive control
  • power systems
  • Proportional-integral Control
  • voltage source inverter

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Control and Systems Engineering

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