Testing of Artificial Immune System Failure Detection with the NASA Generic Transport Model

M G. Perhinschi; Hever Moncayo; A. Bartlett; J. Davis; B. Wilburn; K. Karas

doi:10.2514/6.2011-6559

Testing of Artificial Immune System Failure Detection with the NASA Generic Transport Model

M G. Perhinschi, Hever Moncayo, A. Bartlett, J. Davis, B. Wilburn, K. Karas

Embry-Riddle Aeronautical University

Research output: Contribution to conference › Presentation

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.

Original language	American English
DOIs	https://doi.org/10.2514/6.2011-6559
State	Published - Aug 2011
Event	AIAA Guidance, Navigation, and Control Conference 2011 - Portland, Oregon Duration: Aug 1 2011 → …

Conference

Conference	AIAA Guidance, Navigation, and Control Conference 2011
Period	8/1/11 → …

Keywords

Artificial Immune System
Aerodynamic surfaces
Failure detection
Generic transport models
Simulation environment
Identification (control systems)

Disciplines

Aeronautical Vehicles
Systems Engineering and Multidisciplinary Design Optimization

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title = "Testing of Artificial Immune System Failure Detection with the NASA Generic Transport Model",

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.",

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author = "Perhinschi, {M G.} and Hever Moncayo and A. Bartlett and J. Davis and B. Wilburn and K. Karas",

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language = "American English",

note = "AIAA Guidance, Navigation, and Control Conference 2011 ; Conference date: 01-08-2011",

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T1 - Testing of Artificial Immune System Failure Detection with the NASA Generic Transport Model

AU - Perhinschi, M G.

AU - Moncayo, Hever

AU - Bartlett, A.

AU - Davis, J.

AU - Wilburn, B.

AU - Karas, K.

PY - 2011/8

Y1 - 2011/8

N2 - 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.

AB - 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.

KW - Artificial Immune System

KW - Aerodynamic surfaces

KW - Failure detection

KW - Generic transport models

KW - Simulation environment

KW - Identification (control systems)

UR - https://doi.org/10.2514/6.2011-6559

U2 - 10.2514/6.2011-6559

DO - 10.2514/6.2011-6559

M3 - Presentation

T2 - AIAA Guidance, Navigation, and Control Conference 2011

Y2 - 1 August 2011

ER -

Testing of Artificial Immune System Failure Detection with the NASA Generic Transport Model

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Keywords

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