Threshold design for fault detection with first order sliding mode observers

Journal Article (2022)
Author(s)

T. Keijzer (TU Delft - Team Riccardo Ferrari)

Riccardo M.G. Ferrari (TU Delft - Team Riccardo Ferrari)

Research Group
Team Riccardo Ferrari
Copyright
© 2022 T. Keijzer, Riccardo M.G. Ferrari
DOI related publication
https://doi.org/10.1016/j.automatica.2022.110600
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 T. Keijzer, Riccardo M.G. Ferrari
Related content
Research Group
Team Riccardo Ferrari
Volume number
146
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Abstract

Sliding Mode Observer (SMO) based methods have been extensively used for Fault Estimation (FE). However, the fault detection (FD) problem for these SMO based FE methods has not been completely solved. In this paper a robust threshold on the so-called Equivalent Output Injection (EOI) is presented which enables FD for systems with measurement noise and unmatched uncertainties. This threshold is applicable to a large class of existing SMO based FE methods, and its applicability can easily be verified. Theoretical guarantees on the detection performance of this threshold are provided, and further demonstrated via a simulation study.