A New Paradigm in Mission Planning with Unmanned Aerial Vehicles using Fuzzy Optimization Techniques

Abstract

Unmanned Aerial Vehicle task with path scheduling moves across an essential Unmanned Aerial Vehicle technologies to advanced stage process such as task and path scheduling for solitary and numerous Unmanned Aerial vehicles, as Unmanned Aerial Vehicles are positioned to perform a selection of tasks in together martial and non-military territories. Scheduling and performing a task in terms of prescribing the path and other objectives are interesting problems that needs more attention. The design of this work is about to locate an optimal pathway for a Unmanned Aerial Vehicle starting and ending at its respective depot such that each target is observed at most  once by some Unmanned Aerial Vehicle, the vehicle–target constraints are satisfied and the sum of the length of the paths  and traveling costs for all the vehicles are depleted. This system was able to dynamically optimize the motion of Unmanned Aerial Vehicle towards their goals in real time. In this work Fuzzy Multi Objective Linear Programming is designed for Unmanned Aerial Vehicle with single home station and numerical computations are discussed for path planning.