Nonlinear model predictive control of SOFC based on a Hammerstein model
文献类型：期刊论文
| 作者 | Huo, Hai-Bo1; Zhu, Xin-Jian1; Hu, Wan-Qi2; Tu, Heng-Yong1; Li, Jian3; Yang, Jie4 |
| 刊名 | JOURNAL OF POWER SOURCES
 |
| 出版日期 | 2008-10-15 |
| 卷号 | 185期号:1页码:338-344 |
| 关键词 | Solid oxide fuel cell (SOFC) Hammerstein model Radial basis function neural network (RBFNN) Autoregressive with exogenous input (ARX) Genetic algorithm (GA) Model predictive control (MPC) |
| ISSN号 | 0378-7753 |
| 其他题名 | J. Power Sources |
| 中文摘要 | To protect solid oxide fuel cell (SOFC) stack and meet the voltage demand of DC type loads, two control loops are designed for controlling fuel utilization and output voltage, respectively. A Hammerstein model of the SOFC is first presented for developing effective control strategies, in which the nonlinear static part is approximated by a radial basis function neural network (RBFNN) and the linear dynamic part is modeled by an autoregressive with exogenous input (ARX) model. As we know, the output voltage of the SOFC changes with load variations. After a primary control loop is designed to keep the fuel utilization as a steady-state constant, a nonlinear model predictive control (MPC) based on the Hammerstein model is developed to control the output voltage of the SOFC. The performance of the MPC controller is compared with that of the PI controller developed in [Y.H. Li, S.S. Choi, S. Rajakaruna, An analysis of the control and operation of a solid oxide fuel-cell power plant in an isolated system, IEEE Trans. Energy Convers. 20 (2) (2005) 381-387]. Simulation results demonstrate the potential of the proposed Hammerstein model for application to the control of the SOFC, while the excellence of the nonlinear MIPC controller for voltage control of the SOFC is proved. (c) 2008 Elsevier B.V. All rights reserved. |
| 英文摘要 | To protect solid oxide fuel cell (SOFC) stack and meet the voltage demand of DC type loads, two control loops are designed for controlling fuel utilization and output voltage, respectively. A Hammerstein model of the SOFC is first presented for developing effective control strategies, in which the nonlinear static part is approximated by a radial basis function neural network (RBFNN) and the linear dynamic part is modeled by an autoregressive with exogenous input (ARX) model. As we know, the output voltage of the SOFC changes with load variations. After a primary control loop is designed to keep the fuel utilization as a steady-state constant, a nonlinear model predictive control (MPC) based on the Hammerstein model is developed to control the output voltage of the SOFC. The performance of the MPC controller is compared with that of the PI controller developed in [Y.H. Li, S.S. Choi, S. Rajakaruna, An analysis of the control and operation of a solid oxide fuel-cell power plant in an isolated system, IEEE Trans. Energy Convers. 20 (2) (2005) 381-387]. Simulation results demonstrate the potential of the proposed Hammerstein model for application to the control of the SOFC, while the excellence of the nonlinear MIPC controller for voltage control of the SOFC is proved. (c) 2008 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Physical Sciences ; Technology |
| 类目[WOS] | Electrochemistry ; Energy & Fuels |
| 研究领域[WOS] | Electrochemistry ; Energy & Fuels |
| 关键词[WOS] | OXIDE FUEL-CELL ; DYNAMIC-MODEL ; POWER-PLANT ; IDENTIFICATION ; ALGORITHM ; SYSTEMS ; SIMULATION ; NETWORKS |
| 收录类别 | SCI |
| 原文出处 | |
| 语种 | 英语 |
| WOS记录号 | WOS:000259906600047 |
| 公开日期 | 2013-10-08 |
| 版本 | 出版稿 |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/2773]  |
| 专题 | 过程工程研究所_研究所（批量导入） |
| 作者单位 | 1.Shanghai Jiao Tong Univ, Fuel Cell Res Inst, Shanghai 200240, Peoples R China 2.Chinese Acad Sci, Inst Proc Engn, Beijing 100080, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Mat Sci & Engn, Wuhan 430074, Hubei Province, Peoples R China 4.China Univ Geosci, Sch Mech & Elect Engn, Wuhan 430074, Hubei Province, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huo, Hai-Bo,Zhu, Xin-Jian,Hu, Wan-Qi,et al. Nonlinear model predictive control of SOFC based on a Hammerstein model[J]. JOURNAL OF POWER SOURCES,2008,185(1):338-344. |
| APA | Huo, Hai-Bo,Zhu, Xin-Jian,Hu, Wan-Qi,Tu, Heng-Yong,Li, Jian,&Yang, Jie.(2008).Nonlinear model predictive control of SOFC based on a Hammerstein model.JOURNAL OF POWER SOURCES,185(1),338-344. |
| MLA | Huo, Hai-Bo,et al."Nonlinear model predictive control of SOFC based on a Hammerstein model".JOURNAL OF POWER SOURCES 185.1(2008):338-344. |
入库方式： OAI收割
来源：过程工程研究所
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