Model-free Predictive Control of Motor Drives: A Review

被引：0

作者：

Chenhui Zhou ^{[1
]}

Yongchang Zhang ^{[1
]}

Haitao Yang ^{[2
]}

机构：

[1] Electrical and Electronic Engineering, North China Electric Power University

[2] Inverter Technologies Engineering Research Center of Beijing, North China University of

来源：

CES Transactions on Electrical Machines and Systems | 2025年 / 9卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TM30 [一般性问题]; TP273 [自动控制、自动控制系统];

学科分类号：

080201 ; 0835 ;

摘要：

Model predictive control(MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory dynamic performance. However, the strong reliance on mathematical models seriously restrains its practical application. Therefore, improving the robustness of MPC has attained significant attentions in the last two decades, followed by which, model-free predictive control(MFPC) comes into existence. This article aims to reveal the current state of MFPC strategies for motor drives and give the categorization from the perspective of implementation. Based on this review, the principles of the reported MFPC strategies are introduced in detail, as well as the challenges encountered in technology realization. In addition, some of typical and important concepts are experimentally validated via case studies to evaluate the performance and highlight their features. Finally, the future trends of MFPC are discussed based on the current state and reported developments.(1)

引用

页码：76 / 90

页数：15

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