Design and implementation of LQR/LQG strategies for oxygen stoichiometry control in PEM fuel cells based systems
This paper presents the oxygen stoichiometry control problem of proton exchange Membrane (PEM) fuel cells and introduces a solution through an optimal control methodology. Based on the study of a non-linear dynamical model of a laboratory PEM fuel cell system and its associated components (air compr...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2011 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/13631 |
| Acceso en línea: | https://hdl.handle.net/2117/13631 https://dx.doi.org/10.1016/j.jpowsour.2010.11.059 |
| Access Level: | acceso abierto |
| Palabra clave: | Automation Linear quadratic control Optimisation LGQ/LQR control PEM fuel cells Oxygen stoichiometry Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This paper presents the oxygen stoichiometry control problem of proton exchange Membrane (PEM) fuel cells and introduces a solution through an optimal control methodology. Based on the study of a non-linear dynamical model of a laboratory PEM fuel cell system and its associated components (air compressor, humidifiers, line heaters, valves, etc.), a control strategy for the oxygen stoichiometry regulation in the cathode line is designed and tested. From a linearized model of the system, an LQR/LQG controller is designed to give a solution to the stated control problem. Experimental results show the effectiveness of the proposed controllers design. |
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