DocumentCode :
358564
Title :
Improving UAV mission success rate through software enabled control design
Author :
Johnson, Timothy L. ; Koneck, Robert ; Bush, Stephen F.
Author_Institution :
GE Corp. R&D, Schenectady, NY, USA
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
373
Abstract :
Mission success rates for unmanned missions still fall significantly below those for manned vehicle missions. The goal of this paper is to describe a new approach to the design of vehicle management software that can significantly improve the mission success rate of future Uninhabited Air Vehicles (UAVs), and to introduce performance assessment methodologies which allow mission success rates to be estimated under a wide range of sources of uncertainty
Keywords :
aircraft computers; aircraft control; control engineering computing; military aircraft; military avionics; remotely operated vehicles; avionics software; generic model; mission success rates; performance assessment methodologies; robust mission autonomy; software enabled control design; uncertainty sources; uninhabited air vehicles; unmanned missions; vehicle management software; Control design; Control systems; Delay; Logic programming; Navigation; Research and development; Robustness; Software performance; Uncertainty; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference Proceedings, 2000 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
0-7803-5846-5
Type :
conf
DOI :
10.1109/AERO.2000.878449
Filename :
878449
Link To Document :
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