DocumentCode :
2491871
Title :
The pressure altitude computation using artificial neural network for Air Data Computer
Author :
Turkmen, I. ; Korkmaz, Y.
Author_Institution :
Aircraft Electr. & Electron. Dept., Univ. of Erciyes, Kayseri, Turkey
fYear :
2010
fDate :
15-18 Dec. 2010
Firstpage :
13
Lastpage :
16
Abstract :
Air Data Computer (ADC) calculates the key data necessary for performing a safe flight and accurate air navigation. Altitude information is one of the important parameter computed by the ADC. Accuracy of the altitude corrected using tables or charts showing the actual corrections in altitude information special to aircraft type. This correction is important in any high performance and jet aircraft. In order to correct these imperfections, certain calibrations need to be made within the ADC. In this paper, artificial neural networks (ANNs) are used to calculate altitude information more easily and accurately using data obtained from tables formed under standard atmosphere conditions.
Keywords :
aerospace computing; aircraft navigation; neural nets; statistical analysis; air data computer; air navigation; artificial neural networks; jet aircraft; pressure altitude computation; standard atmosphere conditions; Accuracy; Artificial neural networks; Electronic mail; Instruments; Temperature measurement; Terrestrial atmosphere; Air Data Computer; Altimeter; Differential Evolution; Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology (ISSPIT), 2010 IEEE International Symposium on
Conference_Location :
Luxor
Print_ISBN :
978-1-4244-9992-2
Type :
conf
DOI :
10.1109/ISSPIT.2010.5711745
Filename :
5711745
Link To Document :
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