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

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

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva


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.

Idioma originalInglés
PublicaciónIEEE Access
EstadoEn prensa - 2021

Áreas temáticas de ASJC Scopus

  • Informática (todo)
  • Ciencia de los materiales (todo)
  • Ingeniería (todo)


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