Finite-Time Command Filtered Control for Oxygen-Excess Ratio of Proton Exchange Membrane Fuel Cell Systems with Prescribed Performance
Phan Van Du,
Hoai-An Trinh and
Kyoung Kwan Ahn ()
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Phan Van Du: School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
Hoai-An Trinh: School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
Kyoung Kwan Ahn: School of Mechanical Engineering, University of Ulsan, Ulsan 44610, Republic of Korea
Mathematics, 2023, vol. 11, issue 4, 1-17
Abstract:
In recent years, proton exchange membrane fuel cell (PEMFC) has received growing attention as a new sustainable energy source because of its high-power density and zero-emission. In the PEMFC system, the air supply control has a significant impact on the efficiency and lifetime of the PEMFC stack. However, external disturbances and output constraints regularly have negative effects on air supply control. This paper aims to investigate a novel system analysis and advanced strategy control for the oxygen-excess ratio of a PEMFC system under the variant load current disturbance. The air-supply dynamic model is established which takes into account the supply manifolds, compressor, and the PEMFC stack. The proposed control method is designed based on finite-time command-filter control (FTCFC) to improve the tracking performance and ensure the finite-time convergence. Moreover, owing to the suggested prescribed performance function, the oxygen-excess ratio output remains in the pre-boundedness. Theoretical analysis exhibits that the closed-loop system stability is guaranteed by the Lyapunov theory. Finally, the simulation and hardware-in-loop (HIL) experiments are carried out on MATLAB environment and a 100 W power PEMFC system to validate the effectiveness of the suggested methodology.
Keywords: air supply system; finite-time command filtered control; prescribed performance; proton exchange membrane fuel cell (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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