Modeling and control of Unmaned Aerial Vehicles

Abstract

Recent years have seen significant expansion within Unmanned Aerial Vehicles (UAVs) with increasing demand from sectors including reconnaissance, surveillance, and delivery. This paper focus on the modelling and control aspects specific to quadcopters, a popular type of UAV with an ambition to increase their stability quotient whilst accounting for factors like thrust, torque and aerodynamics guided by mathematical equations and physics laws governing their dynamics with use of MATLAB Simulink. For effective stabilization purposes design objective is generating proportional-integral-derivative (PID) controllers while testing simulations to gauge the controller's performance; the results highlight a reduction in oscillations and an increased stability with more favourable regulation of motion relatively than earlier. A physical quadcopter test then follows to cross-validate simulation findings for any subsequent required optimizations of existing PID controls. The project aims at contributing extensively towards enhancing UAV control through developing reliable and efficient PID controllers with specific focus towards quadcopters that can find application potential over other types of UAVs within this industry.