DocumentCode
184749
Title
Supervisory fault tolerant control of the NASA AirStar aircraft
Author
Peni, T. ; Vanek, B. ; Szabo, Zsolt ; Bokor, Jozsef
Author_Institution
Inst. for Comput. Sci. & Control, Budapest, Hungary
fYear
2014
fDate
4-6 June 2014
Firstpage
666
Lastpage
671
Abstract
A multi-level reconfiguration framework is proposed for fault tolerant control of overactuated aerial vehicles, where the levels indicate how much authority is given to the reconfiguration task. On the lowest, first level the fault is accommodated by modifying only the actuator/sensor configuration, so the fault remains hidden from the baseline controller. A dynamic reallocation scheme is applied on this level. The allocation mechanism exploits the actuator/sensor redundancy available on the aircraft. In case the fault cannot be managed at the actuator/sensor level the reconfiguration process has access the baseline controller. Based on the LPV control framework, this is done by introducing fault-specific scheduling parameters. The baseline controller is designed to provide acceptable performance level along all fault scenarios coded in these scheduling variables. The decision of which reconfiguration level has to be initiated in response to a fault is determined by a supervisor unit. The method is demonstrated on the full six degrees of freedom nonlinear simulation model of the GTM UAV.
Keywords
actuators; aircraft control; autonomous aerial vehicles; fault tolerant control; nonlinear control systems; simulation; GTM UAV; LPV control framework; NASA AirStar aircraft; actuator/sensor configuration; dynamic reallocation scheme; fault-specific scheduling parameters; multilevel reconfiguration framework; nonlinear simulation model; overactuated aerial vehicles; supervisory fault tolerant control; Actuators; Aerospace control; Aircraft; Atmospheric modeling; Dynamic scheduling; Resource management; Vehicle dynamics; Fault-tolerant systems; Flight control; Supervisory control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6859264
Filename
6859264
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