This paper addresses the problem of the detection and isolation of the input and output sensor faults for a linear multivariable dynamic system, in the presence of disturbance. In particular, this work proposes a polynomial approach for the design of residual generators in order to realise complete diagnosis schemes when additive faults are present. It is shown that the use of an input-output description for the linear dynamic model of the system under investigation allows to compute in a straightforward way the residual generators. The residual generator design is performed in order to maximise a suitable fault sensitivity function. Thus, the suggested design approach leads to dynamic filters that achieve both disturbance de- coupling and desired transient properties in terms of a fault to residual reference transfer function. The results obtained in the simulation of the faulty behaviour of a linearised aircraft model are finally reported. The fault diagnosis strategy performances are tested in the presence of measurement noise, disturbance and model uncertainty by means of extensive simulations.

Residual Generator Design for the FDI of Linear Multivariable Dynamic Systems

BEGHELLI, Sergio
Primo
;
BENINI, Matteo
Secondo
;
SIMANI, Silvio
Ultimo
2007

Abstract

This paper addresses the problem of the detection and isolation of the input and output sensor faults for a linear multivariable dynamic system, in the presence of disturbance. In particular, this work proposes a polynomial approach for the design of residual generators in order to realise complete diagnosis schemes when additive faults are present. It is shown that the use of an input-output description for the linear dynamic model of the system under investigation allows to compute in a straightforward way the residual generators. The residual generator design is performed in order to maximise a suitable fault sensitivity function. Thus, the suggested design approach leads to dynamic filters that achieve both disturbance de- coupling and desired transient properties in terms of a fault to residual reference transfer function. The results obtained in the simulation of the faulty behaviour of a linearised aircraft model are finally reported. The fault diagnosis strategy performances are tested in the presence of measurement noise, disturbance and model uncertainty by means of extensive simulations.
2007
9789608902855
Fault detection and isolation; input and output sensor; linear multivariable dynamic system; polynomial approach; residual generator robustness; disturbance de–coupling; linearised aircraft model.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/519337
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