An Overview of Artificial Intelligence Applications for Power Electronics

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...

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Bibliographic Details
Published in:IEEE transactions on power electronics Vol. 36; no. 4; pp. 4633 - 4658
Main Authors: Zhao, Shuai, Blaabjerg, Frede, Wang, Huai
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Artificial intelligence
Artificial intelligence (AI)
Data structures
design
Documents
Electronic systems
Electronics
Expert systems
Fuzzy logic
Heuristic methods
intelligent controller
Machine learning
Maintenance engineering
Optimization
power electronic systems
Power electronics
predictive maintenance
prognostics and health management (PHM)
Regression analysis
Statistical analysis
Task analysis
ISSN:0885-8993, 1941-0107
Online Access:Get full text
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Summary: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.
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ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2020.3024914