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Identification for passive robust fault detection using zonotope-based set-membership approaches
Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç; Saludes Closa, Jordi
Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada II; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
In this paper, the problem of identification for passive robust fault detection, when a bounded description of the modelling uncertainty is considered, is addressed. Two set-membership identification methods are introduced to address this problem: the interval predictor and bounded error approaches. These two identification approaches naturally lead to two robust fault detection tests: the direct and inverse tests, respectively, which are also introduced and discussed. Implementation algorithms make use of a zonotope to approximate the parameter uncertainty set. Moreover, underlying hypothesis of both approaches is discussed and applicability conditions are stated. A case study based on a four-tank system is used to illustrate the applicability and the properties of the two identification approaches as well as the corresponding fault detection
Peer Reviewed
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Fault tolerance (Engineering)
robust fault detection
identification
robust residuals
zonotopes
set-membership
Tolerància als errors (Enginyeria)
info:eu-repo/semantics/submittedVersion
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