AUTONOMOUS NAVIGATION FUZZY SYSTEM FOR UNMANNED AERIAL VEHICLES

Resumo

This Academic research aims to develop an autonomous navigation system for unmanned aerial
vehicles (UAV) of quadrotor type, based on fuzzy logic and the vehicle sensing, in order to automate the pilot
function, to allow the maximum degree of autonomy. To develop the project, the radio hardware control of the
drone Syma X8HC and the common ultrasound sensors used on the market were changed to allow the vehicle
to identify the presence and distance of several obstacles during the course. The fuzzy controller of structures
was tested by computer simulations and laboratory tests. The experiments results conducted on a test platform
and computer simulations have demonstrated the effectiveness and performance of the both used methods and
the main system in this work.