Applying a Model-Based Systems Engineering Approach to Model an Unmanned Aerial Vehicle Mission

Abstract

Unmanned Aerial Vehicles (UAVs) are complex systems whose complexity lies mainly in the plurality of their missions. Among aerospace vehicles with various missions (aircraft, satellite, etc.), UAVs have the advantage of being easily scalable due to their small size. Thus, the missions developed should be relatively easily implementable, raising the need for genericity. For this reason, this paper discusses multiple tools and methods used to model a UAV mission. Starting from a Simulink State flow model, a top-level mission architecture was created, and operational, functional, and logical analyses were conducted using an ARCADIA/Capella based approach.