Robust fault detection of non-linear systems using set-membership state estimation based on constraint satisfaction

In this paper, the robust fault detection problem for non-linear systems considering both bounded parametric modelling errors and measurement noises is addressed. The non-linear system is monitored by using a state estimator with bounded modelling uncertainty and bounded process and measurement nois...

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Detalles Bibliográficos
Autores: Tornil Sin, Sebastián|||0000-0003-1799-2192, Ocampo-Martínez, Carlos|||0000-0001-9251-6044, Puig Cayuela, Vicenç|||0000-0002-6364-6429, Escobet Canal, Teresa|||0000-0001-6090-1538
Tipo de recurso: artículo
Fecha de publicación:2012
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:2117/172739
Acceso en línea:https://hdl.handle.net/2117/172739
https://dx.doi.org/10.1016/j.engappai.2011.07.007
Access Level:acceso abierto
Palabra clave:Robust control
Fault tolerance (Engineering)
Constraints (Artificial intelligence)
Constraints satisfaction
Fault detection
Intervals
Robustness
Set-membership estimation
Control de robustesa
Tolerància als errors (Enginyeria)
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Descripción
Sumario:In this paper, the robust fault detection problem for non-linear systems considering both bounded parametric modelling errors and measurement noises is addressed. The non-linear system is monitored by using a state estimator with bounded modelling uncertainty and bounded process and measurement noises. Additionally, time-variant and time-invariant system models are taken into account. Fault detection is formulated as a set-membership state estimation problem, which is implemented by means of constraint satisfaction techniques. Two solutions are presented: the first one solves the general case while the second solves the time-variant case, being this latter a relaxed solution of the first one. The performance of the time-variant approach is tested in two applications: the well-known quadruple-tank benchmark and the dynamic model of a representative portion of the Barcelona's sewer network. In both applications, different scenarios are presented: a faultless situation and some faulty situations. All considered scenarios are intended to show the effectiveness of the presented approach.