Robust fault diagnosis for a class of bilinear systems with uncertainty

In this paper, the fault diagnosis problem for a class of bilinear systems with uncertainty is discussed. The systems are transformed into two different subsystems. One is not affected by actuator fault, so the robust reduced order observer can be designed such that, under certain conditions, the observer error dynamics is completely independent of the inputs. The other whose states can be measured is affected by the faults. The observation scheme is then used for model-based monitoring and fault diagnosis. More specifically, a simple approach for fault detection and isolation of actuator fault is presented. Finally, an example of a semi-active suspension system is used to illustrate the applicability of proposed method