A-AIRCRAFT CONTROL USING NEURAL NETWORK

Abstract

This study presents the technique of landing control, roll control, altitude control and pitch hold control of an Airplane using Neural Networks. Firstly Neural Network is trained from available data and then trained neural network controls the landing, roll, pitch and altitude hold of an Airplane. The neural network control has been implemented in MATLAB and data for training have been taken from “Flight Gear Simulator”. The Neural Network Control has been simulated for commercial Airplane i.e. Cessna 172. The trained Neural Network control detects variations from Flight Gear Simulator and supplies the corrective signals to Aileron, elevator, throttle, and rudder. The flight performance has been shown in “Flight Gear Simulator”. The objective is to improve the performance of conventional landing, roll, pitch and altitude hold controllers