Robust fault detection based on adaptive threshold generation using interval LPV observers
Cita com:
hdl:2117/15909
Tipus de documentArticle
Data publicació2012
Condicions d'accésAccés obert
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Abstract
In 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.
CitacióMontes de Oca, S.; Puig, V.; Blesa, J. Robust fault detection based on adaptive threshold generation using interval LPV observers. "International journal of adaptive control and signal processing", 2012, vol. 26, núm. 3, p. 258-283.
ISSN0890-6327
Versió de l'editorhttp://dx.doi.org/10.1002/acs.1263
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