LAPSE:2020.0058
Published Article
LAPSE:2020.0058
Design and Implementation of the Off-Line Robust Model Predictive Control for Solid Oxide Fuel Cells
January 7, 2020
An off-line robust linear model predictive control (MPC) using an ellipsoidal invariant set is synthesized based on an uncertain polytopic approach and then implemented to control the temperature and fuel in a direct internal reforming solid oxide fuel cell (SOFC). The state feedback control is derived by minimizing an upper bound on the worst-case performance cost. The simulation results indicate that the synthesized robust MPC algorithm can control and guarantee the stability of the SOFC; although there are uncertainties in some model parameters, it can keep both the temperature and fuel at their setpoints.
Keywords
control synthesis, off-line calculation, robust model predictive control, solid oxide fuel cell
Suggested Citation
Chatrattanawet N, Kheawhom S, Chen YS, Arpornwichanop A. Design and Implementation of the Off-Line Robust Model Predictive Control for Solid Oxide Fuel Cells. (2020). LAPSE:2020.0058
Author Affiliations
Chatrattanawet N: Center of Excellence in Process and Energy Systems Engineering, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Kheawhom S: Center of Excellence in Process and Energy Systems Engineering, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand [ORCID]
Chen YS: Advanced Institute of Manufacturing with High-Tech Innovations and Department of Mechanical Engineering, National Chung Cheng University, Chiayi 62102, Taiwan [ORCID]
Arpornwichanop A: Center of Excellence in Process and Energy Systems Engineering, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand [ORCID]
Journal Name
Processes
Volume
7
Issue
12
Article Number
E918
Year
2019
Publication Date
2019-12-03
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7120918, Publication Type: Journal Article
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LAPSE:2020.0058
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doi:10.3390/pr7120918
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Jan 7, 2020
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CC BY 4.0
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Jan 7, 2020
 
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Original Submitter
Calvin Tsay
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