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
