Task planning method for cooperative ground battle of manned and unmanned aerial vehicles

Abstract

The invention discloses a task planning method for cooperative ground battle of a manned and unmanned aerial vehicles, and relates to the field of unmanned aerial vehicle task planning, and the method comprises the following steps: S1, battlefield environment modeling: employing a digital map information fusion principle to fuse original landform and threat information of a battle space into comprehensive landform information; s2, obtaining the number of manned aerial vehicles, the number of unmanned aerial vehicles and the number of targets: setting that the ground strike formation comprises one manned aerial vehicle and m unmanned aerial vehicles (v1, v2,..., vm), and discovering n targets (t1, t2,..., tn) needing to be striked in total; and establishing a task allocation target function, wherein the establishment of the target function comprehensively considers factors in three aspects, including the attack value of the target, the track cost for going to the target and the threat cost in the cruise process. An A * algorithm is adopted to solve two parts of plane planning and height planning, and a task planning scheme meeting requirements can be provided for cooperative combat of people / unmanned aerial vehicles to the ground.

Description

technical field [0001] The invention relates to the technical field of UAV mission planning, in particular to a mission planning method for manned UAV cooperative ground combat. Background technique [0002] Compared with manned aircraft, UAVs have obvious advantages in terms of cost, convenience, mobility, and adaptability, and are also favored by the military of many countries. Multi-aircraft Cooperative Combat Each fighter has complementary advantages in airborne weaponry and tactics, and cooperates with each other to achieve the effectiveness of "1+1>2". In recent years, my country has carried out more theoretical research on multi-UAV cooperative formation, but limited by the current level of intelligent development of UAVs and combat systems, the hardware capabilities have not kept up with the height of the theory, and it will be realized in a short period of time. It is not practical for "pure drones" to cooperate with each other to conduct fully autonomous operati...

AI Technical Summary

Problems solved by technology

[0004] At present, there are few studies on manned / unmanned aerial vehicle mission planning, and most of the currently published studies are studies on two-dimensional planes

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