When there is insufficient knowledge of the control system dynamics, or when the disturbance dynamics are complicated, a method to generate robust input-output maps that can be used as failure detection metrics is developed. The theory is validated through simulations conducted on linear and nonlinear models of commercial aircraft. Realistic models for atmospheric turbulence and measurement noise are used. Multiple failures in actuators and sensors are identified in their source and magnitude. The results demonstrate that failure detection and identification are possible without altering the existing control system and that the methods can be used in a retrofittable arrangement to improve aircraft safety.
Presentation slides are unavailable.