ENHANCEMENT OF ROBUSTNESS IN OBSERVER-BASED FAULT-DETECTION

A prerequisite for the feasibility of the technique of observer-based fault detection and isolation (FDI) in dynamic systems is a satisfacto ry robustness with respect to modelling uncertainties. This paper surv eys the most relevant methods to increase the robustness in both the s tage of residual generation and residual evaluation. Among these metho ds are the generalized observer scheme, the robust parity space check, the unknown input and H(infinity) observer scheme, the decorrelation filter, and the concept of adaptive threshold selection. It is pointed out that the unknown input observer concept, which provides perfect d ecoupling from the modelling errors or its optimal approximation with the aid of H(infinity) techniques, constitutes a general framework of robust residual generation that generalizes and unifies numerous other approaches, among them the parity space and detection filter approach . It is further shown that this FDI method can even be applied to a ce rtain class of nonlinear systems.