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

GUAN Chaojun; LEI Zhengling; HUO Haibo; WANG Fang; YAO Guoquan; LIU Tao

doi:10.12096/j.2096-4528.pgt.24017

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

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

New Energy | 更新时间：2025-06-15

- 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.”
- Power Generation Technology Vol. 45, Issue 6, Pages: 1163-1172(2024)
- 作者机构：
  
  1.上海海洋大学工程学院，上海市浦东新区201306
  2.高性能舰船技术教育部重点实验室(武汉理工大学)，湖北省武汉市 430063
  3.上海海事大学交通运输学院，上海市浦东新区201306
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52301420;52071201);Open Fund of Key Laboratory of High Performance Ship Technology of the Ministry of Education(GXNC23052801);Capacity Building Project of Local Universities in Shanghai(23010502200)
- DOI：10.12096/j.2096-4528.pgt.24017
  CLC： TM 911.4;TP 273
- Received：22 January 2024，
  
  Revised：2024-04-29，
  
  Published：31 December 2024
- 稿件说明：
移动端阅览
管超骏,雷正玲,霍海波等.基于强化学习的固体氧化物燃料电池输出电压自抗扰控制研究[J].发电技术,2024,45(06):1163-1172.

GUAN Chaojun,LEI Zhengling,HUO Haibo,et al.Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning[J].Power Generation Technology,2024,45(06):1163-1172.
管超骏,雷正玲,霍海波等.基于强化学习的固体氧化物燃料电池输出电压自抗扰控制研究[J].发电技术,2024,45(06):1163-1172. DOI： 10.12096/j.2096-4528.pgt.24017.

GUAN Chaojun,LEI Zhengling,HUO Haibo,et al.Active Disturbance Rejection Control of Output Voltage of Solid Oxide Fuel Cell Based on Reinforcement Learning[J].Power Generation Technology,2024,45(06):1163-1172. DOI： 10.12096/j.2096-4528.pgt.24017.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal Operation of Residential Microgrids Based on a Robust Model Using Information Gap Decision Theory

Two-Stage Robust Optimization Scheduling of Park-Level Hydrogen-Electric Coupling Systems With Demand Response and Carbon Trading

Uncertainty Analysis of Gas Turbine Overall Performance Based on Monte Carlo Method

Research on Power Planning Based on Robust Optimization Under Carbon Trading Condition

Characteristics Research of a Micro-Tubular Solid Oxide Fuel Cell System Based on Catalytic Partial Oxidation of Propane

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

AI导读

AI脑图

AI问答

⁰

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

DOI：10.12096/j.2096-4528.pgt.24017