UAV CONTROL AND SIMULATION USING VOICE RECOGNITION

Abstract

Guiding multiple UAVs through keyboard and remote control is very difficult to perform by one operator and it requires the operator to be professional of the specific controller and UAV dynamic behavior. This thesis aims to control UAV using the speech recognition to facilitate this mission. The main objective of this thesis is to apply neural network to perform this task and to design and simulate control system of UAV. The design is simulated in PROTUES and MATLAB/SIMULINK using Atmega 16 microcontroller. The network was well recognize and its accuracy is 98.3%. Good results and desired motion of UAV accordingly were obtained when applied this neural network