Cognitive control of quadrocopter using supervisor

In this paper we present a mathematical model of a quadrocopter, together with a complete supervisor solution for path planning to cover a designated area with a quadrocopter type UAV. The supervisor is also able to optimize and recalibrate its route in the case of unexpected events during flight, such as sudden changes in wind, or someone physically altering its position in the path. Simulations has been performed using MATLAB/SIMULINK to visualize the results, and show that the supervisor solution does indeed generate a path to cover an area initially and in the case of a sudden event, and that the quadrocopter model is able to follow it properly.