Fault diagnosis for LPV systems

In this paper a method for designing robust FDI filters for dynamic systems characterized by LPV (Linear Parameter Varying) polytopic models. A sufficient condition is established to guarantee sensitivity of the fault indicating signals. Robustness constraints against model perturbation and disturbances are taken into account in the design method. A key feature of the proposed method is that the (static) residual structuring matrices are optimized as an integral part of the diagnosis filter. The design problem is formulated as a convex optimization problem and solved using LMI techniques. The proposed method is illustrated on the secondary circuit of a Nuclear Power Plant.