Neural Network Technique Application for the Identification of Aircraft Flight Manoeuvres
Boev J., Tagarev T., Stoianov Tz.
This paper aims to present a method and a technique which enable to solve the identification problem of the aircraft space manoeuvres, in case of an information insufficiency. For this purpose is used the neural network technique. The back-propagation algorithm application is explained in details. The validity of the method is proved by accomplishment of a numerical experiment.
One of the main tasks of the express flight data processing is the aircraft flight manoeuvres identification after every flight. Every one of the flight manoeuvres can decompose to separate images (parameters), which characterize them (the change of the altitude, acceleration, speed, roll, pitch, ect., for example). Some of this parameters can be recorded by aircraft flight recorders.
The used methods and algorithms don‘t give a possibility to identify the aircraft flight manoeuvres with high precision and reliability, using only one of this parameters. To identify the separate flight figure this methods need more of one parameter (usually three or four).
In this work is proposed to use the neural network technique for express aircraft space manoeuvres identification in case of an information insufficiency. For a neural network learning to identify the flight figure is used the standard back-propagation learning algorithm (BPLA)for the multilayer perceptron (MLP).