DocumentCode :
1850821
Title :
Accuracy projections for PENANT (Performance Enhanced Navigation using Neural Network Technology)
Author :
Griffiths, Barry ; Orlando, Ann ; Berning, Sandra
fYear :
1993
fDate :
24-28 May 1993
Firstpage :
873
Abstract :
PENANT (Performance Enhanced Navigation using Neural Network Technology) represents a new approach to fault detection, identification, and reconfiguration (FDIR) for integrated multi-sensor aircraft navigation systems. This paper reports the major results of the PENANT feasibility study, a Small Business Innovation Research (SBIR) contract sponsored by Air Force Wright Laboratory. The objective of this effort was to determine whether PENANT can provide improved diagnostic capability and navigation accuracy, compared to standard innovations-monitoring techniques. The PENANT concept was tested in a reduced-scale simulation that incorporates many of the critical features of an integrated INS/GPS aircraft navigation system. The results indicate that this approach may be useful for real-time, onboard FDIR
Keywords :
aerospace computing; aircraft instrumentation; automatic test equipment; computer architecture; computerised navigation; failure analysis; fault location; fault tolerant computing; maintenance engineering; military computing; military systems; neural nets; Air Force Wright Laboratory; PENANT; Small Business Innovation Research; diagnostic capability; fault detection; feasibility; identification; integrated INS/GPS aircraft navigation; integrated multi-sensor aircraft navigation; onboard FDIR; real-time; reconfiguration; Aircraft navigation; Clocks; Fault detection; Fault diagnosis; Filters; Global Positioning System; Neural networks; Sensor systems; System testing; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace and Electronics Conference, 1993. NAECON 1993., Proceedings of the IEEE 1993 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-1295-3
Type :
conf
DOI :
10.1109/NAECON.1993.290827
Filename :
290827
Link To Document :
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