A new multi-objective filter design for guaranteed robust FDI performance

Abstract

Synthesis techniques for the design of fault detection filters are developed. The approach provides techniques for designing filters that maximize sensitivity, in some sense, to the effects of additive faults on the residual signal, while guaranteeing the robustness to noise, disturbances and modeling errors. The design procedure is iterative and involves linear matrix inequality optimization techniques and generalized structured singular values.