提出了一种多飞行器协同任务分配粒子群算法。首先,考虑飞行器载弹能力约束以及航程约束,建立多飞行器协同任务分配问题的数学模型。其次,分析粒子的连续性位置属性,为每个粒子构造了一个任务分配向量,从中可提取出相应的多飞行器协同任务分配解,实现了粒子群算法连续性解的离散化。最后,基于粒子群算法原理建立一种多飞行器协同任务分配算法,进行数字仿真实验,验证了所提算法的有效性。

This paper proposes a particle swarm optimization (PSO) algorithm for co-allocating tasks among multi-vehicles. Firstly, by taking consideration of the vehicle carrying-capacity and range constraints, the mathematical model for the problem of multi-vehicle task assignment is presented. Secondly, the continuous position attribute of a particle is analyzed and a task assignment vector for each particle is developed. The corresponding task assignment solution can be extracted from the task assignment vector, achieving the objective of discretizing the continuous solution of PSO algorithm. Finally, based on PSO, a multi-vehicle collaborative task allocation algorithm is developed, and its effectiveness is verified by a digital simulation experiment.