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Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning
Power Generation Technology Vol. 45, Issue 6, Pages: 1163-1172(2024)
New Energy|Updated:2025-06-15
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Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning
- “In the field of solid oxide fuel cells, experts have established an improved nonlinear self disturbance rejection controller system based on a dual delay depth deterministic strategy gradient, providing theoretical reference for improving system performance and lifespan.”
DOI:10.12096/j.2096-4528.pgt.24017
Revised:2024-04-29
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Related Author
LIU Shilin
LUO Zonglong
SUN Jing
PENG Yonggang
ZHANG Jiaxin
KONG Xiangling
LIU Haisong
FU Jinglun
Related Institution
Anhui Polytechnic University Industrial Innovation Technology Research Co., Ltd.
Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment, Ministry of Education (Anhui Polytechnic University)
College of Electrical Engineering, Zhejiang University
University of Chinese Academy of Sciences, Haidian District
Nanjing Institute of Future Energy System, IET, CAS

