This paper provides preliminary results regarding the design of residual generators in order to realise the complete diagnosis scheme for a complex process model with fault, uncertainty and disturbances. Under the hypothesis of exploiting input-output polynomial descriptions, it is possible to determine the residual generator functions. In particular, this work shows that the mathematical computation of these filters can be obtained by following a black-box identification approach. The application example of these filters when used for the fault detection and isolation of a simulated spacecraft system are finally reported. The robustness and reliability issues of the suggested residual generation approach and design are investigated by means of extensive simulations.
Identification of Residual Generators for Fault Detection and Isolation of a Satellite Simulated Model
SIMANI, Silvio
2007
Abstract
This paper provides preliminary results regarding the design of residual generators in order to realise the complete diagnosis scheme for a complex process model with fault, uncertainty and disturbances. Under the hypothesis of exploiting input-output polynomial descriptions, it is possible to determine the residual generator functions. In particular, this work shows that the mathematical computation of these filters can be obtained by following a black-box identification approach. The application example of these filters when used for the fault detection and isolation of a simulated spacecraft system are finally reported. The robustness and reliability issues of the suggested residual generation approach and design are investigated by means of extensive simulations.I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.