Dynamic Stability for UAV Path Planning
Jean Sawma, Alain Ajami, Joseph El Maalouf · 2022
Modern Unmanned Aerial Vehicles (UAVs) are being widely used for civil as well as military missions such as package delivery, surveillance and photography. For all of these missions the UAVs are instructed to track a fixed or moving point or target. For that purposes many tracking control algorithm are developed. Those method should converge toward the target in the quickest possible time, they should be computationally efficient in order to reduce the computational burden on the UAV main processor and smooth in order to reduce the mechanical stress on the drone. The control problem is more pronounced in case it is applied for fixed wing drones. This paper propose a control tracking algorithm for HALE (High Altitude Long Endurance) drones. The method is nearly optimal, smooth and uses a computationally efficient algorithm. In order to evaluate the new control law, simulation results are presented and compared with older method. Finally, conclusions are drawn.