Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning

Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning

ObjectivesIn order to improve the performance and lifetime of solid oxide fuel cell (SOFC) systems, the 100 kW SOFC system was taken as the research object. The continuous adjustment of the controller coefficients was explored through reinforcement learning to realize the best comprehensive performa...

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Bibliographic Details
Main Authors: GUAN Chaojun, LEI Zhengling, HUO Haibo, WANG Fang, YAO Guoquan, LIU Tao
Format: Article
Language:English
Published: Editorial Department of Power Generation Technology 2024-12-01
Series:发电技术
Subjects:
solid oxide fuel cell (sofc)
twin delayed deep deterministic policy gradient (td3)
nonlinear active disturbance rejection control (nladrc)
fuel utilization
nonlinear error feedback control law
output voltage tracking
uncertainty
Online Access:https://www.pgtjournal.com/article/2024/2096-4528/2096-4528-2024-45-6-1163.shtml
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