Three-Dimensional Dynamic Path Planning for Drone Delivery System using Enhanced Interfered Fluid Dynamical System Analogy

The availability of a swift, reliable and efficient algorithm to design the path of UAVs is very critical in overall mission planning of any task. This study utilises the concepts of fluid analogy to design an algorithm for path planning of UAVs to move around the static and dynamic obstacles in a 3D environment. The algorithm has been structured around the improved and modified version of Interfered Fluid Dynamical System (IFDS). Firstly the concept has been established and validated for static obstacles, and subsequently multiple obstacles in motion have been introduced. Simulation results demonstrate the effectiveness of the model.