Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cell

Article ID	Journal	Published Year	Pages	File Type
7718606	International Journal of Hydrogen Energy	2014	7 Pages	PDF

Abstract

Overall, the proposed neural model-based self-tuning PID controller appears as an excellent candidate to address the oxygen excess ratio regulation issue.

Keywords

Proton exchange membrane fuel cell Artificial neural network model Experimental implementation Real-Time Control

Related Topics

Physical Sciences and Engineering Chemistry Electrochemistry

Preview

Real-time implementation of a neural model-based self-tuning PID strategy for oxygen stoichiometry control in PEM fuel cell

Authors

C. Damour, M. Benne, C. Lebreton, J. Deseure, B. Grondin-Perez,