PEMFC state and parameter estimation through a high-gain based adaptive observer
This work presents the design of an adaptive observer to estimate the cathode catalytic layer's water content of a polymer electrolyte membrane fuel cell and some of the parameters related to its water dynamics. However, in general, existing adaptive observer algorithms require a certain relati...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| 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:2117/347731 |
| Acceso en línea: | https://hdl.handle.net/2117/347731 https://dx.doi.org/10.1016/j.ifacol.2020.12.1639 |
| Access Level: | acceso abierto |
| Palabra clave: | Adaptive control Observability Power generation control Observers Estimation parameters High-gain observer Fuel cells Nonlinear systems Classificació INSPEC::Control theory Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| Sumario: | This work presents the design of an adaptive observer to estimate the cathode catalytic layer's water content of a polymer electrolyte membrane fuel cell and some of the parameters related to its water dynamics. However, in general, existing adaptive observer algorithms require a certain relative degree condition which is not satised in the concerned fuel cell system. This conflicict is solved by modifying the adaptive observer strategy with an auxiliary signal that does satisfy the relative degree condition. This signal is estimated through a high-gain observer. The viability of the presented observer is validated through numerical simulations. |
|---|