Interval observer fault detection ensuring detectability and isolability by using a set-invariance approach
This paper proposes the design of an interval observer-based Fault Detection and Isolation (FDI) algorithm using the set-invariance approach. Using this approach, both fault detectability and isolability properties of the proposed interval observer based FDI algorithm can be characterized in system...
| Autores: | , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/179505 |
| Acceso en línea: | http://hdl.handle.net/10261/179505 |
| Access Level: | acceso abierto |
| Palabra clave: | Fault detection Bounded uncertainties Observers-based approach Set-invariance approach Zonotopes |
| Sumario: | This paper proposes the design of an interval observer-based Fault Detection and Isolation (FDI) algorithm using the set-invariance approach. Using this approach, both fault detectability and isolability properties of the proposed interval observer based FDI algorithm can be characterized in system steady-state operation. The effect of the uncertainty is taken into account using zonotopic-set representations. Finally, a simulation example based on a two-tanks system is employed to both illustrate and discuss the effectiveness of the proposed approach. |
|---|