A TD3 Algorithm Based Reinforcement Learning Controller for DC-DC Switching Converters

Various linear and nonlinear controllers have been developed to improve the dynamic performance of DC-DC converters. Most controllers can only be designed on the basis of understanding the mathematical model of DC-DC converter, but the inherent nonlinear and time-varying characteristics of DC-DC swi...

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Bibliographic Details

Published in:	2023 International Conference on Power Energy Systems and Applications (ICoPESA) pp. 358 - 363
Main Authors:	Ye, Jian, Guo, Huanyu, Mei, Sen, Hu, Yingjie, Zhang, Xinan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 24.02.2023
Subjects:	Control systems DC-DC converter DC-DC power converters Heuristic algorithms model-free control neural network Process control Reinforcement learning Switching converters Training twin-delayed deep deterministic policy gradient algorithm
Online Access:	Get full text
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