In-flight Fault Detection and Isolation in Aircraft Flight Control SystemsIn this paper we consider the problem of test design for real-time fault detection and isolation (FDI) in the flight control system of fixed-wing aircraft. We focus on the faults that are manifested in the control surface elements (e.g., aileron, elevator, rudder and stabilizer) of an aircraft. For demonstration purposes, we restrict our focus on the faults belonging to nine basic fault classes. The diagnostic tests are performed on the features extracted from fifty monitored system parameters. The proposed tests are able to uniquely isolate each of the faults at almost all severity levels. A neural network-based flight control simulator, FLTZ(Registered TradeMark), is used for the simulation of various faults in fixed-wing aircraft flight control systems for the purpose of FDI.
Document ID
20060051813
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Azam, Mohammad (Connecticut Univ. Storrs, CT, United States)
Pattipati, Krishna (Connecticut Univ. Storrs, CT, United States)
Allanach, Jeffrey (Connecticut Univ. Storrs, CT, United States)
Poll, Scott (NASA Ames Research Center Moffett Field, CA, United States)
Patterson-Hine, Ann (NASA Ames Research Center Moffett Field, CA, United States)