FUZZY LOGIC CONTROL OF QUADROTOR

Abstract

Quadrotor is widely used in monitoring volcanoes, forest fires, checking
power lines, searching for lost people, disaster rescue, etc. Quadrotor is equipped
with four motors with 4 propellers to control and stable the quadrotor's motion,
that makes the kinematics model of the quadrotor to become complex and
strongly nonlinear. In this paper, to improve the quadrotor control quality, an
intelligent controller has been designed to control the operating state of the
quadrotor (UAV). This paper presents a simulation of the Quadrotor model with a
fuzzy logic controller designed to control the four fundamental motions of the
quadrotor: roll, pitch, yaw, and quadrotor movement. The controller is simulated
by using Simulink software and simulation results are givento prove the
effectiveness of the proposed controller.