Quadrotor UAV Guidence For Ground Moving Target Tracking

The studies in aerial vehicles modeling and control have been increased rapidly recently. In this paper, a coordination of two types of heterogeneous robots, namely unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) is considered. The UAV plays the role of a virtual leader for the UGVs. The system consists of a vision- based target detection algorithm that uses the color and image moment of a given target. The modeling of the VTOL vehicle will be described by using Euler-Newton equations. Flight controller commands are directly generated based on the offset of the target from the image frame. The image processing and intelligent control algorithms have been implemented on a latest computer. Matlab Simulink has been used to test, analyze and compare the performance of the controllers in simulations .