Observer-based Sensor Fault Detectability

About Robust Positive Invariance Approach and Residual Sensitivity

Journal Article (2017)
Author(s)

Abid Rahman Kodakkadan (CentraleSupélec - Paris-Saclay)

Masoud Pourasghar (Universitat Politecnica de Catalunya)

Vicenç Puig (Universitat Politecnica de Catalunya)

Sorin Olaru (CentraleSupélec - Paris-Saclay)

Carlos Ocampo-Martinez (Universitat Politecnica de Catalunya)

V. Reppa (University of Cyprus)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1016/j.ifacol.2017.08.926
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Publication Year
2017
Language
English
Affiliation
External organisation
Issue number
1
Volume number
50
Pages (from-to)
5041-5046

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.

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