Threat factor introduced heuristic unmanned aerial vehicle swarm flight path planning method

Abstract

The invention discloses a threat factor introduced heuristic unmanned aerial vehicle swarm flight path planning method. The method comprises the steps of on the premise of acquiring information such as terrain, altitude, path obstacles, meteorological information data, enemy area air defense deployment and the like, setting an initial position and a target position, performing evaluation and quantitative processing by combining the severity of various obstacles and enemy threats in a passing flight area, taking the result as an important parameter for calculating a flight path, applying the parameter to an improved heuristic A * algorithm, and finally obtaining a flight path result which most conforms to enemy and empty conditions. The method has the advantages that quantitative analysis is conducted on obstacles and air defense threats between unmanned aerial vehicle swarm formation flight paths, the obstacles and the air defense threats serve as important reference factors in a search flight path algorithm, the obtained flight path result can guarantee the shortest flight path in space, meanwhile, the flight path result can be far away from the threats and tend to avoid harm, theflight safety rate of the swarm formation is improved, and the probability that the swarm formation is detected by radar or hit by firepower is reduced.

Description

Technical field[0001]The invention relates to the field of unmanned aerial vehicle flight mission planning, in particular to an optimal path calculation planning and generation method under known track situation conditions.Background technique[0002]Today's unmanned platform technology is increasingly widely used, and both civilian and military fields have urgent application requirements for unmanned platforms. Unmanned platforms represented by unmanned aerial vehicles are gradually entering the field of military demand, taking on combat tasks in scenarios where manpower is difficult to reach. As an important supplement to humanized weapon platforms, it has become one of the emerging military equipment development directions. .[0003]UAVs have the advantages of cost-effectiveness, high mobility, low casualties, and intelligent autonomy in terms of military combat requirements. Especially when participating in joint operations, the formation of drone swarms can efficiently complete a v...

AI Technical Summary

Problems solved by technology

This type of algorithm can find the shortest path relatively quickly, but it may not be able to obtain the optimal solution of the track

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