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Título

Observer-based sensor fault detectability: About robust positive invariance approach and residual sensitivity

AutorRahman Kodakkadan, Abid; Pourasghar, Masoud; Puig, Vicenç; Olaru, Sorin; Ocampo-Martinez, Carlos; Reppa, Vasso
Palabras claveSensor faults
Interval observers
Positive invariance
Dynamic modelsM
Fault detection
Fecha de publicación2017
EditorElsevier
CitaciónIFAC papers online 50(1): 5041-5046 (2017)
ResumenThis paper considers detectability of deviation of sensors from their nominal behavior for a class of linear time-invariant discrete-time systems in the presence of bounded additive uncertainties. Detectable sensor faults using interval observers are analyzed considering two distinct approaches: invariant-sets and classical fault-sensitivity method. It can be inferred from this analysis that both approaches derive distinct formulations for minimum detectable fault magnitude, though qualitatively similar. The core difference lies in the method of construction of the invariant set offline in the former method and the reachable approximation of the convergence set using forward iterative techniques in the latter. This paper also contributes in giving a formulation for minimum fault magnitudes with invariant sets using an observer-based approach. Finally, an illustrative example is used to compare both approaches.
DescripciónTrabajo presentado al 20th IFAC (International Federation of Automatic Control) World Congress, celebrado en Toulouse (Francia) del 9 al 14 de julio de 2017.
Versión del editorhttps://doi.org/10.1016/j.ifacol.2017.08.926
URIhttp://hdl.handle.net/10261/166505
Identificadoresdoi: 10.1016/j.ifacol.2017.08.926
issn: 1474-6670
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