Model-Free Predictive Control of Motor Drives and Power Converters: a Review

M. Khalilzadeh, S. Vaez-Zadeh, J. Rodriguez, R. Heydari

Research output: Contribution to journalArticlepeer-review

Abstract

Predictive control has emerged as a promising control method in a variety of technological fields. Model predictive control, as one of the subdivisions of this control method, has found a growing number of applications in power electronics and motor drives. In practical implementations, model predictive control faces performance degradation of the controlled plant due to its dependency on a model. There are considerable numbers of review papers that are devoted to the different points of view of predictive control. However, the existing literature lacks a review study that addresses the solutions for parameter dependency of the model predictive control method. Recently, model-free predictive control has been used in drives and power electronics as a solution for dealing with the model-dependency of the model predictive control method. There are many papers that have used such methods. In this paper, a classification is proposed for the different implementation types of model-free predictive control or similar methods that address model parameter uncertainties. Additionally, a comparison between the methods is also presented.

Original languageEnglish
JournalIEEE Access
DOIs
Publication statusAccepted/In press - 2021

Keywords

  • Control systems
  • Current control
  • estimation
  • Inverters
  • inverters
  • Motor drives
  • motor drives
  • power conversion
  • power electronics
  • Predictive control
  • predictive control
  • Predictive models
  • Switches
  • Voltage control

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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