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Presentation
Testing of Immunity-Based Failure Detection and Identification Scheme with the NASA Generic Transport Model
AIAA Guidance, Navigation, and Control Conference 2011 (2011)
  • Mario G. Perhinschi, West Virginia University
  • Hever Moncayo, Embry–Riddle Aeronautical University
  • Brenton Wilburn, West Virginia University
  • Amber Bartlett
  • Jennifer Davis, West Virginia University
  • Ondrej Karas, West Virginia University
Abstract
In this paper, the development and testing through simulation of an integrated scheme for aircraft sub-system failure detection and identification (FDI) based on the artificial immune system (AIS) paradigm is presented. The simulation environment includes the NASA Generic Transport Model interfaced with FlightGear. A hierarchical multi-self strategy was used to develop an FDI scheme capable of handling malfunctions of actuators and aerodynamic surface damage. The performance of the FDI scheme has been evaluated in terms of false alarms and successful detection and identification over a wide flight envelope and for a large variety of abnormal conditions. For all cases investigated the performance was very good, confirming the potential of the AIS paradigm to offer a comprehensive solution to the aircraft sub-system FDI problem.
Keywords
  • Aerodynamic surfaces,
  • Artificial Immune System,
  • Failure detection,
  • Generic transport models,
  • Simulation environment,
  • Identification (control systems)
Publication Date
August 8, 2011
Location
Portland, OR
DOI
https://doi.org/10.2514/6.2011-6559
Citation Information
Mario G. Perhinschi, Hever Moncayo, Brenton Wilburn, Amber Bartlett, et al.. "Testing of Immunity-Based Failure Detection and Identification Scheme with the NASA Generic Transport Model" AIAA Guidance, Navigation, and Control Conference 2011 (2011)
Available at: http://works.bepress.com/hever_moncayo/79/