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Títol:	Observer-based sensor fault detectability: about robust positive invariance approach and residual sensitivity
Autor/a:	Rahman Kodakkadan, Abid; Pourasgharlafmejani, Masoud; Puig Cayuela, Vicenç; Olaru, Sorin; Ocampo-Martínez, Carlos; Reppa, Vasso
Altres autors:	Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
Abstract:	© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract:	This 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.
Abstract:	Peer Reviewed
Matèries:	-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Automation -control theory -observability -Fault Detection -Sensor Faults -Dynamic Models -Positive Invariance -Interval Observers -Classificació INSPEC::Automation
Drets:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipus de document:	Article - Versió presentada Objecte de conferència
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