DocumentCode :
1472625
Title :
Neural and fuzzy reconstructors for the virtual flight data recorder
Author :
Napolitano, Marcello R. ; Cnsanova, J.J. ; Windon, Dale A. ; Seanor, Brad ; Martinelli, David
Author_Institution :
West Virginia Univ., Morgantown, WV, USA
Volume :
35
Issue :
1
fYear :
1999
fDate :
1/1/1999 12:00:00 AM
Firstpage :
61
Lastpage :
71
Abstract :
The results are presented of a comparative study evaluating the performance of neural network (NN) and fuzzy logic reconstructors (FLRs) for the development of a virtual flight data recorder (VFDK). Typical flight data recorders (FDRS) on commercial airliners do not record the aircraft control surface deflections. These dynamic parameters are critical in the investigation of an accident or an uncommanded maneuver. The results are shown relative to a VFDR based on a neural network simulator (NNS) along with a neural network reconstructor (NNR) or a FLR The NNS is trained off-line, using available flight data for the particular aircraft, for the purpose of simulating any desired dynamic output recorded in current FDRs. The NNS is then interfaced with the NNR or with the FLR. The output of the two reconstructors are the control surface deflections which minimize a performance index based on the differences between the available data from the FDR and the output from the NNS. The study tested with night data from a B737-300 shows that both schemes, the one with the NNR and the one with the FLR, provide accurate reconstructions of the control surface deflections time histories
Keywords :
aircraft control; aircraft instrumentation; data recording; fuzzy logic; neural nets; virtual instrumentation; B737-300; commercial airliners; control surface deflections; control surface deflections time; dynamic parameters; flight data recorders; fuzzy logic reconstructors; fuzzy reconstructors; neural network reconstructor; neural network simulator; neural reconstructors; night data; performance index; reconstructions; surface deflections; trained off-line; virtual flight data recorder; Accidents; Aerospace control; Aerospace simulation; Aircraft; Fuzzy logic; History; Neural networks; Performance analysis; Surface reconstruction; Testing;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/7.745680
Filename :
745680
Link To Document :
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