A set based approach for SFDI on small commercial aircraft

The problem of detecting and isolating faults on duplex sensor architecture in a small commercial aircraft is considered. The use of a Set-Based approach involving a bank of consistency signal generators is proposed. In particular, by exploiting the knowledge of dynamic relations between command inputs and sensed variables in discrete time, sensor measurements accuracy has been estimated also in the presence of bounded disturbances and model uncertainties. Then, a Health Measurement Voting Supervisor detects and isolates faulty sensor. Numerical simulations involving a nonlinear aircraft mathematical model subject to atmospheric disturbance and sensor noise are performed in order to show the practical applicability of the proposed technique