Constrained model predictive control for proton exchange membrane fuel cell
A constrained model predictive control (MPC) is designed to regulate the air flow rate of proton exchange membrane fuel cell (PEMFC). Oxygen excess ratio, compressor flow rate and supply manifold pressure are constrained to avoid oxygen starvation, surge and choke phenomena. This is achieved by ma...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
Korean Society of Mechanical Engineers
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/43832/1/2014-Constrained_model_predictive_control_of_proton_exchange_membrane_fuel_cell_2014.pdf http://irep.iium.edu.my/43832/4/43832_Constrained%20model%20predictive_SCOPUS.pdf http://irep.iium.edu.my/43832/ https://link.springer.com/content/pdf/10.1007%2Fs12206-014-0849-0.pdf |
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| Summary: | A constrained model predictive control (MPC) is designed to regulate the air flow rate of proton exchange membrane fuel cell
(PEMFC). Oxygen excess ratio, compressor flow rate and supply manifold pressure are constrained to avoid oxygen starvation, surge and
choke phenomena. This is achieved by manipulating compressor voltage and stack current. The choice of the manipulated input to satisfy
a constraint is investigated. Surge and choke avoidance is successful, when compressor voltage is manipulated. When stack current is
utilized to satisfy surge and choke constraints, a large unrealistic current is needed. Oxygen starvation is successfully avoided utilizing
stack current, while compressor voltage manipulation fails to prevent oxygen starvation. Thus, a current governor is implemented to handle
oxygen starvation, while the compressor voltage is constrained to avoid surge and choke. Quadratic programming optimization,
Laguerre and exponential weight function are employed to reduce the computational burden of the controller. The simulation results
prove that the proposed controller managed to satisfy all constraints without any conflict. |
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