多无人机协同多任务分配研究

发布时间：2018-07-02 21:21

本文选题：无人机 + 多任务分配　；参考：《电光与控制》2017年01期

【摘要】：对多无人机协同多任务分配优化问题的目标函数构建进行研究。多无人机协同多任务分配模型的两个主要目标函数(无人机团队总飞行航程最小化和执行完所有任务时间最小化)都有各自的局限性,且两个指标函数存在利益冲突。通过为两个指标函数分配权重,建立融合两个指标函数的新指标函数,采用离散粒子群算法对协同多任务分配模型进行求解。通过调节权重的大小,可以适应不同的战场环境,使得两个指标函数都得到优化。仿真结果验证了所提方法的有效性。
[Abstract]:The objective function construction of multi-UAV cooperative multi-task assignment optimization problem is studied. The two main objective functions of multi-UAV cooperative multi-task assignment model (UAV team total flight range minimization and mission completion time minimization) have their own limitations and the two index functions have conflict of interest. By assigning weights to two index functions, a new index function combining two index functions is established, and discrete particle swarm optimization algorithm is used to solve the cooperative multitask assignment model. By adjusting the weight, we can adapt to different battlefield environment and optimize the two index functions. Simulation results show the effectiveness of the proposed method.
【作者单位】：海军航空工程学院;
【基金】：航空基金(20135184007)
【分类号】：TP18;V279

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