An Overview of Artificial Intelligence Applications for Power Electronics

被引:315
|
作者
Zhao, Shuai [1 ]
Blaabjerg, Frede [1 ]
Wang, Huai [1 ]
机构
[1] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
关键词
Power electronics; Fuzzy logic; Maintenance engineering; Expert systems; Optimization; Task analysis; Artificial intelligence (AI); design; intelligent controller; power electronic systems; predictive maintenance; prognostics and health management (PHM); PARTICLE SWARM OPTIMIZATION; DEGRADING SYSTEMS SUBJECT; INDUCTION MACHINE DRIVE; FUZZY-NEURAL-NETWORK; SPACE-VECTOR PWM; FAULT-DIAGNOSIS; SYNCHRONOUS MOTOR; POINT TRACKING; EXPERT-SYSTEM; HARMONIC ELIMINATION;
D O I
10.1109/TPEL.2020.3024914
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This article gives an overview of the artificial intelligence (AI) applications for power electronic systems. The three distinctive life-cycle phases, design, control, and maintenance are correlated with one or more tasks to be addressed by AI, including optimization, classification, regression, and data structure exploration. The applications of four categories of AI are discussed, which are expert system, fuzzy logic, metaheuristic method, and machine learning. More than 500 publications have been reviewed to identify the common understandings, practical implementation challenges, and research opportunities in the application of AI for power electronics. This article is accompanied by an Excel file listing the relevant publications for statistical analytics.
引用
收藏
页码:4633 / 4658
页数:26
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