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基于SA-IPSO融合算法的无人机航路规划OA

UAV Route Planning Based on SA-IPSO Algorithm

中文摘要英文摘要

针对当前无人机航路规划中存在的航路质量不高、实际难以执行等问题,充分考虑无人机在实际环境中受到的威胁约束,合理构建无人机航路规划模型.论文提出了模拟退火—免疫粒子群(SA-IPSO)算法融合策略,用于无人机航路规划,并利用Matlab软件分不同任务情况进行了仿真实验与结果分析;实验结果表明,无人机航路规划模型构建较为合理、考虑全面,基于SA-IPSO算法的无人机航路规划方法,可以根据不同任务的不同侧重点,得出相应较为满意的航路结果.

This paper aims at the problems existing in UAV route planning,such as low route quality and difficult implementa-tion.Fully consider the threat constraints that the drone is subject to in the actual environment.The UAV route planning model is reasonably constructed.The SA-IPSO algorithm fusion strategy is proposed for UAV route planning,and Matlab software is used to distinguish different tasks and carry out simulation experiment and result analysis respectively.The experimental results show that the model construction of UAV route planning is reasonable and comprehensive.The UAV route planning method based on SA-IP-SO algorithm can obtain the corresponding satisfactory route results according to the emphases of different tasks.

范伟伦

91550部队41分队 大连 116023

航空航天

无人机航路规划粒子群算法免疫算法模拟退火算法

UAV route planningPSO algorithmimmune algorithmSA algorithm

《舰船电子工程》 2026 (6)

54-58,5

10.3969/j.issn.1672-9730.2026.06.009

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