TechRxiv
Motor_AI_Review_Paper.pdf (13.7 MB)
Download file

Artificial Intelligence in Electric Machine Drives: Advances and Trends

Download (13.7 MB)
preprint
posted on 12.10.2021, 19:40 by Shen ZhangShen Zhang
This review paper systematically summarizes the existing literature on applying classical AI techniques and advanced deep learning algorithms to electric machine drives. It is anticipated that with the rapid progress in deep learning models and embedded hardware platforms, AI-based data-driven approaches will become increasingly popular for the automated high-performance control of electric machines. Additionally, this paper also provides some outlook towards promoting its widespread application in the industry, such as implementing advanced RL algorithms with good domain adaptation and transfer learning capabilities and deploying them onto low-cost SoC FPGA devices.

History

Email Address of Submitting Author

shenzhang@gatech.edu

ORCID of Submitting Author

0000-0002-1245-0565

Submitting Author's Institution

Georgia Institute of Technology

Submitting Author's Country

United States of America