Detection and identification of loss of efficiency faults of flight actuators

In this paper we apply model-based synthesis methodologies for the development of robust fault detection and diagnosis (FDD) systems for the loss of efficiency (LOE) type of faults of flight actuators. Typical LOE faults can be modeled as either additive or multiplicative faults. For additive LOE fault robust fault detection techniques in conjunction with signal processing based fault identification is used to design a robust FDD system. For the detection of multiplicative LOE faults model detection techniques are employed, which allows to simultaneously perform fault identification. The developed FDD systems have been tested in a full nonlinear aircraft simulation model to validate its detection and identification characteristics under realistic conditions.