Adaptive filter design for fault detection and isolation of nonlinear systems based on multiple model approach
Résumé
In this paper, the fault diagnosis of non linear systems based on a adaptive filter is developed. The proposed method makes possible the fault detection, isolation and estimation for the whole operating range of the nonlinear system. Based on the assumption that the dynamic behavior of the nonlinear system is defined as a multiple model approach, a set of residual vector insensitive to faults is established and thus generating a global model exploited in an adaptive filter. The convergence and stability conditions of the adaptive filter are developed and its performances are tested in simulation.
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