Intelligent Control System Design of a Unmanned Quadrotor Robot

Abstract

This paper presents the position and attitude control of an unmanned aerial vehicle known as a quadrotor. A design methodology is introduced that a fuzzy logic controller in an intelligent way. It offers several advantages over certain types of conventional control methods, specifically in dealing with highly nonlinear systems and modeling uncertainties. The proposed controller was located at a position feedback loop which composed of x,y and z. Plus, it also designed at the angle acceleration loop. Simulation results prove the efficiency of this intelligent control strategy.