Model-Free Predictive Control of Motor Drives and Power Converters: A Review
| Autor: | Rasool Heydari, Sadegh Vaez-Zadeh, Mohammad A. Khalilzadeh, Jose Rodriguez |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Control systems
motor drives Dependency (UML) General Computer Science estimation Computer science General Engineering Control engineering Converters Variety (cybernetics) Power (physics) TK1-9971 Model predictive control power electronics Control system Power electronics power conversion General Materials Science Electrical engineering. Electronics. Nuclear engineering inverters Implementation predictive control |
| Zdroj: | IEEE Access, Vol 9, Pp 105733-105747 (2021) Khalilzadeh, M, Vaez-Zadeh, S, Rodriguez, J & Heydari, R 2021, ' Model-Free Predictive Control of Motor Drives and Power Converters : A Review ', IEEE Access, vol. 9, 9492066, pp. 105733-105747 . https://doi.org/10.1109/ACCESS.2021.3098946 |
| ISSN: | 2169-3536 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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