Robust Residual Generation for Diagnosis Including a Reference Model for Residual Behavior
The main goal when synthesizing robust residual generators, for diagnosis and
supervision, is to attenuate influence from model uncertainty on the residual
while keeping fault detection performance. In this paper, a design algorithm for
robust residual generators is developed with two key elements. One is the use of
a reference model that represents desired performance, i.e. time or
frequency-domain specifications of fault response in the residual. The other is
an optimization criterion, based on robust H-inf-filtering, used to synthesize
the residual generator. Also, a methodology how to specify performance
specifications to ensure good robustness properties of the optimal residual
generator is developed.
Erik Frisk and Lars Nielsen
IFAC,
1999
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Last updated: 2021-11-10
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