Unmanned Aerial Vehicle cooperative search model for sea based on OODA

Abstract

UAV reconnaissance has the advantages of strong mobility and high positioning accuracy, and efficient multi-UAV cooperative operation can greatly improve the search and reconnaissance capability, which is of great significance to the collaborative perception of sea situation. The purpose of this paper is to study the problem of optimal route planning for multi-UAV collaborative search of maritime targets. The core method is to use the distributed model predictive control method integrating OODA theory to optimize the cooperative maritime reconnaissance model of multiple UAVs in the planning period, and then use distributed MPC to solve the cooperative maritime search problem of multiple UAVs. This paper innovatively uses the idea of OODA model, fits in with the modern battlefield environment, and greatly improves the efficiency of actual combat UAV search.