UAVs Fleet Mission Planning Subject to Weather Fore-Cast and Energy Consumption Constraints

Abstract

The problems of mission planning for UAVs fleets are subject of intensive research. Their roots go back to the well-known extensions of VRP addressing the routing and scheduling of UAVs to deliver goods from a depot to customer locations. Rising expectations following the new outdoor applications besides seamless flow routing constraints forces to consider other aspects such as the weather forecast and energy consumption. In that context, this research concerns a declarative framework enabling to state a model aimed at the analysis of the relationships between the structure of a given UAVs driven supply network and its behavior resulting in a sequence of submissions following a required delivery. Because of the Diophantine character of the considered model the main question concerns its solvability. The provided illustrative example shows an approach leading to sufficient conditions guaranteeing solutions existence and as a consequence providing requirements for a solvable class of UAV driven mission planning problems.