Multi-UAV coordinated track planning method based on MSISOS algorithm

Meng-yun S. Liu, Jiyang Dai, Jin Ying, Liang Lu, Guang-jian Tian, Qi Tang
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引用次数: 1

Abstract

In order to solve the problem of multi-UAV coordinated track planning in complex battlefield environment, this paper proposes a track planning method based on Multi-Strategy Improvement Symbiotic Organisms Search (MSISOS). Firstly, UAV track planning model is established. Then, the adaptive strategy is adopted in mutualism and commensalism phase, to balance the algorithm’s development and exploration, and the introduction of normal disturbance strategy in parasitism phase effectively avoids precocity. Finally, a distributed multi-UAV collaborative trajectory planning method is designed, which uses MSISOS algorithm to solve track planning problem, and harmonizes time and space constraints through the multi-UAV information interaction layer. The simulation results show that MSISOS algorithm compared with MSASOS, PSO and DE algorithms has the best accuracy and convergence speed, and solves complex multi-dimensional multi-UAV coordinated track planning issues.
基于MSISOS算法的多无人机协同航迹规划方法
为了解决复杂战场环境下多无人机协同航迹规划问题,提出了一种基于多策略改进共生生物搜索(MSISOS)的航迹规划方法。首先,建立无人机航迹规划模型;然后,在共生和共生阶段采用自适应策略,平衡算法的发展和探索,在寄生阶段引入正常干扰策略,有效避免早熟。最后,设计了一种分布式多无人机协同轨迹规划方法,采用MSISOS算法解决轨迹规划问题,通过多无人机信息交互层协调时间和空间约束。仿真结果表明,与MSASOS、PSO和DE算法相比,MSISOS算法具有最好的精度和收敛速度,能够解决复杂的多维多无人机协调航迹规划问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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