基于买卖合同策略与PSO算法的异构UAV任务分配规划方法

Mission assignment planning method for heterogeneous UAV cooperation based on sales contract strategy and PSO algorithm

针对PSO算法在初始化异构UAV协同任务分配效率不高、任务分配不均的问题,将PSO算法与买卖合同策略结合起来,运用买卖合同策略来调整PSO算法对异构UAV协同任务的初始分配,同时充分发挥PSO算法对多目标优化具有收敛速度快、寻优精度高等优势,有效解决了异构UAV对多类型任务规划的最优分配。仿真结果表明:该方法在保证任务分配合理的同时,能够有效解决多约束条件下异构UAV协同任务分配规划优化问题。

This paper addresses the problems of the inefficiency and uneven mission assignment of PSO algorithm in the initial mission assignment planning of the heterogeneous UAV cooperation.First of all,an idea is analyzed by connecting the sales contract strategy with PSO algorithm according to the target mission assignment requirement.And thus the sales contract strategy is utilized to adjust the initial mission assignment parameters.Meanwhile,by taking advantage of the fast convergence speed and high precision optimization of the PSO algorithm,the multi-objective optimization in the heterogeneous UAV cooperation is realized.Simulation results show that while ensuring proper assignment,the method is very effective for the multi-objective optimization of the heterogeneous UAV cooperation mission planning with multiple constraints.