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

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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.

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Khalilzadeh, M., Vaez-Zadeh, S., Rodriguez, J., & Heydari, R. (2021). Model-Free Predictive Control of Motor Drives and Power Converters: A Review. IEEE Access, 9, 105733–105747. https://doi.org/10.1109/ACCESS.2021.3098946

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