Active fault detection and isolation strategy for an unmanned aerial vehicle with redundant flight control surfaces

In this paper, a diagnosis system using unknown input observers in order to detect, isolate and estimate faulty control surface positions for a small UAV, is presented. As this aircraft is equipped with redundant actuators, flap and aileron positions are not input observable and an active diagnosis process has to be implemented.