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Title

Robust fault detection based on adaptive threshold generation using interval LPV observers

AuthorsMontes de Oca, Saúl; Puig, Vicenç ; Blesa, Joaquim
KeywordsLinear matrix inequalities
Interval LPV observer
Zonotopes
Linear parameter-varying
Fault detection
Issue Date2012
PublisherJohn Wiley & Sons
CitationInternational Journal of Adaptive Control and Signal Processing 26(3): 258-283 (2012)
AbstractIn this paper, robust fault detection based on adaptive threshold generation of a non-linear system described by means of a linear parameter-varying (LPV) model is addressed. Adaptive threshold is generated using an interval LPV observer that generates a band of predicted outputs taking into account the parameter uncertainties bounded using intervals. An algorithm that propagates the uncertainty based on zonotopes is proposed. The design procedure of this interval LPV observer is implemented via pole placement using linear matrix inequalities. Finally, the minimum detectable fault is characterized using fault sensitivity analysis and residual uncertainty bounds. Two examples, one based on a quadruple-tank system and another based on a two-degree of freedom helicopter, are used to assess the validity of the proposed fault detection approach.
Publisher version (URL)http://dx.doi.org/10.1002/acs.1263
URIhttp://hdl.handle.net/10261/96626
DOI10.1002/acs.1263
Identifiersdoi: 10.1002/acs.1263
issn: 0890-6327
e-issn: 1099-1115
Appears in Collections:(IRII) Artículos
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