Deep Reinforcement Learning Aided Variable-Frequency Triple-Phase-Shift Control for Dual-Active-Bridge Converter-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Aided Variable-Frequency Triple-Phase-Shift Control for Dual-Active-Bridge Converter

Published:2023-10 Issue:10 Volume:70 Page:10506-10515
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Tang Yuanhong¹,Hu Weihao¹^ORCID,Cao Di¹^ORCID,Hou Nie²^ORCID,Li Zhuoqiang³,Li Yun Wei²^ORCID,Chen Zhe⁴^ORCID,Blaabjerg Frede⁴^ORCID

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada

3. ZongMu Technology Company, Ltd., Shanghai, China

4. Department of Energy Technology, Aalborg University, Aalborg, Denmark

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/10103730/09950526.pdf?arnumber=9950526

Reference31 articles.

1. Deep Reinforcement Learning-Aided Efficiency Optimized Dual Active Bridge Converter for the Distributed Generation System

2. Optimal ZVS Modulation of Single-Phase Single-Stage Bidirectional DAB AC–DC Converters

3. Artificial Intelligence-Aided Minimum Reactive Power Control for the DAB Converter Based on Harmonic Analysis Method

4. A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters

5. A variable switching frequency hybrid control for ZVS dual active bridge converters to achieve high efficiency in wide load range

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1. Safety-Enhanced Self-Learning for Optimal Power Converter Control;IEEE Transactions on Industrial Electronics;2024-11

2. A Hybrid Phase-Frequency Control of Dual Active Bridge Converters for Hold-Up Time Extension in More Electric Aircrafts Applications;IEEE Transactions on Power Electronics;2024-11

3. A Deep Reinforcement Learning Approach to DC-DC Power Electronic Converter Control with Practical Considerations;Energies;2024-07-21

4. Deep Reinforcement Learning Assisted Hybrid Five-Variable Modulation Scheme for DAB Converters to Reduce RMS Current and Expand ZVS Operation;IEEE Transactions on Power Electronics;2024-07

5. Improved hybrid modulation strategy with low solution complexity for dual-active-bridge converters;Journal of Power Electronics;2024-06-21

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