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Conservatism comparison of set-based robust fault detection methods: Set-theoretic UIO and interval observer cases.

Authors :
Xu, Feng
Tan, Junbo
Wang, Xueqian
Liang, Bin
Source :
Automatica. Jul2019, Vol. 105, p307-313. 7p.
Publication Year :
2019

Abstract

This paper focuses on comparing fault detection (FD) conservatism of the set-theoretic unknown input observer (SUIO) based method and the interval observer (IO) based method. The former is implemented by combining both the set theory and the unknown input observer (UIO), where the set theory and the UIO are used to decouple disturbances and noises in passive and active ways, respectively. The latter is based on the set theory and the Luenberger-structure observer, which completely relies on the set-based passive decoupling of disturbances and noises to obtain FD robustness. The objective of this paper is to compare their FD conservatism using systematic mathematical analysis based on zonotopes and a mathematical criterion comparing their FD conservatism is obtained. Moreover, by establishing a general residual framework for conservatism analysis, the proposed method comparing the FD conservatism is also extended to compare the FD conservatism of a wide variety of set-based robust FD methods. At the end of this paper, a two-tank system example is used to illustrate the effectiveness of the obtained results. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00051098
Volume :
105
Database :
Academic Search Index
Journal :
Automatica
Publication Type :
Academic Journal
Accession number :
137030459
Full Text :
https://doi.org/10.1016/j.automatica.2019.04.005