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基于改进人工蜂群算法的无人机航迹规划研究
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Research on Path Planning of UAV Based on Improved ABC Algorithm
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    摘要:

    为应对无人机遇到的复杂任务状况,快速寻找一条可行较优航迹,通过改进初始化蜜源方式、引入模拟退火算法的Metropolis准则、引入复合形法等对人工蜂群算法进行改进,提出了一种基于改进人工蜂群算法的无人机航迹规划方法。针对无人机航迹规划问题建立数学模型,采用该改进人工蜂群算法进行寻优,并通过MATLAB进行仿真验证。仿真实验结果表明,该改进人工蜂群算法有效提高了无人机航迹规划的鲁棒性、收敛速度和精度。

    Abstract:

    In order to confront the complex tasks of Unmanned Aerial Vehicles (UAV) and to find a feasible optimal path quickly, a UAV flight path planning method based on improved artificial bee colony (ABC) algorithm is put forward, which was obtained by improving the way of initialization nectar source, introduction of Simulation Annealing's metropolis criterion, introduction of complex method, and etc. The improved ABC was used for optimizing in the environment of MATLAB after establishing the mathematical model for UAV path planning problem. The simulations show that this ABC algorithm can improve the path planning's robustness, convergence speed and precision of UAV.

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王庆海,刘广瑞,郭珂甫.基于改进人工蜂群算法的无人机航迹规划研究[J].机床与液压,2017,45(21):68-72.
. Research on Path Planning of UAV Based on Improved ABC Algorithm[J]. Machine Tool & Hydraulics,2017,45(21):68-72

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  • 在线发布日期: 2018-03-22
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