Model-Free Finite Set Predictive Voltage Control of Induction Motor

Mahdi S. Mousavi, S. Alireza Davari, Vahab Nekoukar, Cristian Garcia, Jose Rodriguez

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

Abstract

The emerging theory of model-free control (MFC) has presented an ultra-local modeling approach for systems, which is independent of the system parameters. This paper proposes a model-free based predictive voltage control for the induction motor (IM) drive. In this method, replacing the classic mathematical model of IM with an ultra-local model provides a good possibility of achieving a robust predictive control. Generally, MFC requires an online identification technique to design the parameters of the ultra-local model. In this paper, to avoid the complex designing procedure of MFC, a linear extended state observer (LESO) is utilized to construct the ultra-local model of IM. Moreover, the proposed scheme is implemented in finite-set predictive voltage control, which doesn't require a modulation technique. The evaluation of the proposed method is made through the simulation.

Original languageEnglish
Title of host publication2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780738111971
DOIs
Publication statusPublished - 2 Feb 2021
Event12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021 - Tabriz, Iran, Islamic Republic of
Duration: 2 Feb 20214 Feb 2021

Publication series

Name2021 12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021

Conference

Conference12th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2021
Country/TerritoryIran, Islamic Republic of
CityTabriz
Period2/02/214/02/21

Keywords

  • FS-MPC
  • Model Free Control
  • Model-free Predictive Control
  • Predictive Voltage Control
  • Robust

ASJC Scopus subject areas

  • Mechanical Engineering
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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