Article
Aircraft Failure Detection and Identification over an Extended Flight Envelope Using an Artificial Immune System
The Aeronautical Journal, Royal Aeronautical Society
(2011)
Abstract
An integrated artificial immune system-based scheme that can operate over extended areas of the flight envelope is proposed in this paper for the detection and identification of a variety of aircraft sensor, actuator, propulsion, and structural failures/damages. A hierarchical multi-self strategy has been developed in which different self configurations are selected for detection and identification of specific abnormal conditions. Data collected using a motion-based flight simulator were used to define the self for a wide area of the flight envelope and to test and validate the scheme. The aircraft model represents a supersonic fighter, including model-following direct adaptive control laws based on non-linear dynamic inversion and artificial neural network augmentation. The proposed detection scheme achieves low false alarm rates and high detection and identification rates for all the categories of failures considered.
Keywords
- Artificial Immune System,
- Fault Tolerant Control,
- Structural Damage Evaluation
Disciplines
Publication Date
January, 2011
DOI
https://doi.org/10.1017/S0001924000005352
Citation Information
Hever Moncayo, Mario Perhinschi and Jennifer Wilburn. "Aircraft Failure Detection and Identification over an Extended Flight Envelope Using an Artificial Immune System" The Aeronautical Journal, Royal Aeronautical Society Vol. 115 Iss. 1163 (2011) p. 43 - 55 Available at: http://works.bepress.com/hever_moncayo/11/