Fault diagnosis for uncertain systems based on unknown input set-membership filters
This paper proposes a novel actuator fault diagnosis method for linear systems subject to parametric uncertainties and unknown disturbances. By considering the specified actuator faults as unknown inputs and approximating the boundaries of state by zonotopes, an unknown input zonotopic set-membershi...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2018 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | chino |
| OAI Identifier: | oai:upcommons.upc.edu:2117/186264 |
| Acceso en línea: | https://hdl.handle.net/2117/186264 https://dx.doi.org/10.16383/j.aas.2017.c170123 |
| Access Level: | acceso abierto |
| Palabra clave: | Fault diagnosis Parametric uncertain system Set-membership estimation Unknown input filter Zonotope Àrees temàtiques de la UPC::Matemàtiques i estadística |
| Sumario: | This paper proposes a novel actuator fault diagnosis method for linear systems subject to parametric uncertainties and unknown disturbances. By considering the specified actuator faults as unknown inputs and approximating the boundaries of state by zonotopes, an unknown input zonotopic set-membership filter is designed to obtain the upper and lower boundaries of the output. Based on the proposed design, a fault detection and isolation strategy using a bank of unknown input set-membership filters is presented. Numerical simulation of a flight control system is given to illustrate the effectiveness of the proposed approach. |
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