DocumentCode :
2388499
Title :
Group health management of UAV teams with applications to persistent surveillance
Author :
Bethke, Brett ; How, Jonathan P. ; Vian, John
Author_Institution :
Dept. of Aeronaut. & Astronaut., Massachusetts Inst. of Technol., Cambridge, MA
fYear :
2008
fDate :
11-13 June 2008
Firstpage :
3145
Lastpage :
3150
Abstract :
Unmanned aerial vehicles (UAVs) are well-suited to a wide range of mission scenarios, such as search and rescue, border patrol, and military surveillance. The complex and distributed nature of these missions often requires teams of UAVs to work together. Furthermore, overall mission performance can be strongly influenced by vehicle failures or degradations, so an autonomous mission system must account for the possibility of these anomalies if it is to maximize performance. This paper presents a general health management methodology for designing mission systems that can anticipate the negative effects of various types of anomalies on the future mission state and choose actions that mitigate those effects. The formulation is then specialized to the problem of providing persistent surveillance coverage using a group of UAVs, where uncertain fuel usage dynamics and strong interdependence effects between vehicles must be considered. Finally, the paper presents results showing that the health-aware persistent surveillance planner based on this formulation exhibits excellent performance in both simulated and real flight test experiments.
Keywords :
aircraft control; mobile robots; multi-robot systems; remotely operated vehicles; autonomous mission system; border patrol; group health management; military surveillance; mission system design; persistent surveillance; search and rescue; unmanned aerial vehicles; Aerospace simulation; Degradation; Design methodology; Fuels; Mobile robots; Remotely operated vehicles; Surveillance; Testing; Unmanned aerial vehicles; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2008
Conference_Location :
Seattle, WA
ISSN :
0743-1619
Print_ISBN :
978-1-4244-2078-0
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2008.4586976
Filename :
4586976
Link To Document :
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