A Combined Voltage Control Strategy for Fuel Cell
Control of output voltage is critical for the power quality of solid oxide fuel cells (SOFCs), which is, however, challenging due to electrochemical nonlinearity, load disturbances, modelling uncertainties, and actuator constraints. Moreover, the fuel utilization rate should be limited within a safe...
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doaj-e61af4d55e0e4cb489fe08c1cebc4c462020-11-24T21:10:34ZengMDPI AGSustainability2071-10502017-08-0199151710.3390/su9091517su9091517A Combined Voltage Control Strategy for Fuel CellLi Sun0Qingsong Hua1Jiong Shen2Yali Xue3Donghai Li4Kwang Y. Lee5Key Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, ChinaSchool of Mechanical and Electrical Engineering, Qingdao University, Ningxia Road 308, Qingdao 266071, ChinaKey Lab of Energy Thermal Conversion and Control of Ministry of Education, Southeast University, Nanjing 210096, ChinaState Key Lab for Power Systems, Tsinghua University, Beijing 100084, ChinaState Key Lab for Power Systems, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USAControl of output voltage is critical for the power quality of solid oxide fuel cells (SOFCs), which is, however, challenging due to electrochemical nonlinearity, load disturbances, modelling uncertainties, and actuator constraints. Moreover, the fuel utilization rate should be limited within a safety range during the voltage regulation transient. The current research is usually appealing to model predictive control (MPC) by formulating the difficulties into a constrained optimization problem, but its huge computational complexity makes it formidable for real-time implementation in practice. To this end, this paper aims to develop a combined control structure, with basic function blocks, to fulfill the objectives with minor computation. Firstly, the disturbance, nonlinearity and uncertainties are lumped as a total disturbance, which is estimated and mitigated by active disturbance rejection controller (ADRC). Secondly, a feed-forward controller is introduced to improve the load disturbance rejection response. Finally, the constraints are satisfied by designing a cautious switching strategy. The simulation results show that the nominal performance of the proposed strategy is comparable to MPC. In the presence of parameter perturbation, the proposed strategy shows a better performance than MPC.https://www.mdpi.com/2071-1050/9/9/1517sustainable energysolid oxide fuel cells (SOFCs)model predictive control (MPC)active disturbance rejection control (ADRC) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Li Sun Qingsong Hua Jiong Shen Yali Xue Donghai Li Kwang Y. Lee |
spellingShingle |
Li Sun Qingsong Hua Jiong Shen Yali Xue Donghai Li Kwang Y. Lee A Combined Voltage Control Strategy for Fuel Cell Sustainability sustainable energy solid oxide fuel cells (SOFCs) model predictive control (MPC) active disturbance rejection control (ADRC) |
author_facet |
Li Sun Qingsong Hua Jiong Shen Yali Xue Donghai Li Kwang Y. Lee |
author_sort |
Li Sun |
title |
A Combined Voltage Control Strategy for Fuel Cell |
title_short |
A Combined Voltage Control Strategy for Fuel Cell |
title_full |
A Combined Voltage Control Strategy for Fuel Cell |
title_fullStr |
A Combined Voltage Control Strategy for Fuel Cell |
title_full_unstemmed |
A Combined Voltage Control Strategy for Fuel Cell |
title_sort |
combined voltage control strategy for fuel cell |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2017-08-01 |
description |
Control of output voltage is critical for the power quality of solid oxide fuel cells (SOFCs), which is, however, challenging due to electrochemical nonlinearity, load disturbances, modelling uncertainties, and actuator constraints. Moreover, the fuel utilization rate should be limited within a safety range during the voltage regulation transient. The current research is usually appealing to model predictive control (MPC) by formulating the difficulties into a constrained optimization problem, but its huge computational complexity makes it formidable for real-time implementation in practice. To this end, this paper aims to develop a combined control structure, with basic function blocks, to fulfill the objectives with minor computation. Firstly, the disturbance, nonlinearity and uncertainties are lumped as a total disturbance, which is estimated and mitigated by active disturbance rejection controller (ADRC). Secondly, a feed-forward controller is introduced to improve the load disturbance rejection response. Finally, the constraints are satisfied by designing a cautious switching strategy. The simulation results show that the nominal performance of the proposed strategy is comparable to MPC. In the presence of parameter perturbation, the proposed strategy shows a better performance than MPC. |
topic |
sustainable energy solid oxide fuel cells (SOFCs) model predictive control (MPC) active disturbance rejection control (ADRC) |
url |
https://www.mdpi.com/2071-1050/9/9/1517 |
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