A collaborative optimal configuration method for heterogeneous UAV swarms based on mission requirements

Abstract

The invention provides a coordinated optimal configuration method for heterogeneous UAV swarms based on task requirements. First, construct the firepower attack effectiveness index system required by the battlefield and the firepower attack effectiveness index system of the attack UAV respectively, and use the analytic hierarchy process to evaluate their effectiveness respectively, and obtain the firepower attack effectiveness required on the battlefield and the firepower attack of heterogeneous UAV swarms. Then, compare and evaluate the endurance capacity of heterogeneous UAV clusters and the endurance capacity required by the battlefield; finally, use the evaluation results to build a constrained integer programming configuration model, and use the Monte Carlo method to solve the heterogeneous UAV. The optimal configuration result of the cluster. By adopting the method of the invention, the optimal configuration of the heterogeneous unmanned aerial vehicle swarms before the task execution can reduce the risk of the unmanned aerial vehicle swarm mission failure and the combat cost.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle swarm cooperative combat, and in particular relates to a coordinated optimal configuration method for heterogeneous unmanned aerial vehicle swarms based on task requirements. Background technique [0002] In the context of modern information warfare, UAVs are developing in the direction of miniaturization and miniaturization. In order to cope with the complex battlefield environment, the use of swarm operations can greatly improve the combat effectiveness of UAV swarms. UAV swarm operations require reasonable configuration of different types and functions of UAVs in the swarm. The swarms obtained by reasonable configuration can give full play to the combat capabilities of each UAV and reduce the risk of mission failure and combat costs. [0003] The essence of the UAV swarm configuration is to analyze and compare the effectiveness of the enemy battlefield and our UAV swarm, so as...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the deficiencies of the prior art, the present invention provides a collaborative optimal configuration method for heterogeneous UAV clusters based on task requirements, which is used to solve the problem of configuring the structure and scale of heterogeneous UAV clusters before task execution

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