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Research on Cooperate Search Path Planning of Multiple UAVs Using Dubins Curve

机译:用杜宾曲线合作多维无人机搜索路径规划研究

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Firstly, the constraints on the evaluation of route planning results were proposed from the aspects of maximum target mission return, shortest track and minimum track difference. Secondly, the improved particle swarm optimization algorithm based on heuristic information was proposed. Finally, the simulation results were verified. The simulation results show that the multi UAV multi-target task allocation and path planning based on Dubins curve not only meet the requirements of fast track planning, but also meet certain flight constraints. The improved algorithm based on heuristic information particle swarm optimization has faster convergence speed and global optimization.
机译:首先,从最大目标任务返回,最短轨道和最小轨道差异的方面提出了对路线规划结果评估的约束。其次,提出了基于启发式信息的改进粒子群优化算法。最后,验证了仿真结果。仿真结果表明,基于Dubins曲线的多UAV多目标任务分配和路径规划不仅满足了快速轨道规划的要求,还符合某些飞行约束。基于启发式信息粒子群优化的改进算法具有更快的收敛速度和全局优化。

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