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

被引:55
|
作者
Khalilzadeh, Mohammad [1 ]
Vaez-Zadeh, Sadegh [1 ]
Rodriguez, Jose [2 ]
Heydari, Rasool [3 ]
机构
[1] Univ Tehran, Sch Elect & Comp Engn, Coll Engn, Tehran 1417935840, Iran
[2] Univ Andres Bello, Fac Engn, Santiago 8370146, Chile
[3] Aalborg Univ Denmark, Energy Technol Dept, DK-9220 Aalborg, Denmark
来源
IEEE ACCESS | 2021年 / 9卷
基金
美国国家科学基金会;
关键词
Predictive control; Predictive models; Motor drives; Inverters; Switches; Voltage control; Current control; Control systems; estimation; inverters; motor drives; power conversion; power electronics; predictive control; TORQUE CONTROL; ELECTRONICS; STRATEGIES; OBSERVER;
D O I
10.1109/ACCESS.2021.3098946
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:105733 / 105747
页数:15
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