Multi-UAV task assignment method based on interval intuitionistic fuzzy information in uncertain environment

Abstract

The invention discloses a multi-UAV task allocation method based on interval intuitionistic fuzzy information under an uncertain environment, which mainly solves the problem of optimizing the multi-UAV task allocation under the uncertain environment. The method comprises the following steps: firstly, the uncertain information in the assignment of unmanned aerial vehicle (UAV) tasks is representedby interval intuitionistic fuzzy numbers, and a mathematical model of the assignment of multiple UAV tasks is constructed; secondly, the unmanned aerial vehicles-task assignment pair is created, an assignment scheme is initialized, corresponding target individuals are generated, and initial parameters of an algorithm are given; then, the improved discrete differential evolution algorithm is used to solve the mathematical model of task assignment; finally, the optimal multi-UAV task assignment scheme is obtained according to the minimum fitness. The invention has rationality in establishing a multi-UAV task assignment model, has good convergence in optimization algorithm, and provides an effective method for multi-UAV task assignment under uncertain environment.

Description

technical field [0001] The invention belongs to the field of UAV air defense decision-making, in particular to a multi-UAV task assignment method based on interval intuition fuzzy information in an uncertain environment. Background technique [0002] The future generation of UAVs will face more complex and diverse battlefield environments and challenges, and it will be an inevitable trend for multiple UAVs to cooperate to complete battlefield tasks. Task allocation is the basis for the mutual cooperation of UAV formations and is a key part of the combat command system. Operational tasks are assigned to UAV formations. With the continuous improvement of aircraft performance and the increase of interference factors in the battlefield environment, problems such as measurement deviation and unstable weapon performance indicators in the actual battlefield pose challenges to the actual use of task allocation schemes. OK question. In recent years, in view of the fact that most o...

AI Technical Summary

Problems solved by technology

In terms of modeling, in 2012, Du Jiyong and others proposed a multi-UCAV cooperative task allocation model and a particle swarm algorithm solution method, analyzed key indicators affecting task allocation, and established a model for attack tasks, but it could not solve the problem of uncertain information sources. question

In the research of uncertain environment, in 2013, Chen Xia et al. proposed a multi-UAV task assignment method based on PSO algorithm in an uncertain environment, using a random probability multi-attribute scheme sorting method, using the idea of ​​statistics to give Allocation scheme, but it is easy to cause information loss

It can be seen that compared with other methods, interval intuitionistic fuzzy sets have the advantages of objectively and completely retaining the uncertain information of target attributes, but there is no recognized sorting method for the current interval intuitionistic fuzzy number comparison

Images