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基于GPSSA算法的复杂地形多无人机航迹规划

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针对多无人机协同航迹规划求解时间要求高、收敛难等问题,提出了一种基于博弈夺食机制和自毁机制的改进麻雀搜索算法(GPSSA)的多无人机协同航迹规划方法。利用分层规划思想分别建立单无人机航迹规划模型和多无人机协同航迹规划模型,将其转化为优化问题。提出博弈夺食机制和自毁机制用以改进麻雀算法,防止其快速丢失种群多样性,增强原算法逃脱局部极值吸引的能力,使得算法搜索方式更加灵活。利用改进麻雀算法对模型进行求解,仿真结果表明,GPSSA算法能够快速完成满足约束的航迹规划,且具有更好的收敛速度、寻优精度和算法鲁棒性。
Multi-UAV trajectory planning for complex terrain based on GPSSA algorithm
A multi-UAV cooperative path planning approach based on the self-destruction mechanism and game predatory sparrow search algorithm(GPSSA)is suggested to address the issues of high time requirement and problematic convergence.Firstly,a single UAV path planning model and a multi-UAV cooperative path planning model are established respectively by using the hierarchical planning idea,which is transformed into optimization problems.Then,the game predatory mechanism and self-destruction mechanism is proposed to improve the sparrow algorithm,prevent it from rapidly losing the diversity of the population,enhance the ability of the original algorithm to escape the attraction of local optimum,and make the search mode of the algorithm more flexible.Finally,the improved sparrow algorithm is used to solve the model.The outcomes of the simulation demonstrate how fast and accurately the GPSSA method can plan a path that satisfies the requirements,while also having superior algorithm robustness,convergence speed,and optimization accuracy.

multi-UAV cooperative path planningsparrow search algorithmgame predatory mechanismself destruction mechanism

闫少强、杨萍、刘卫东、李新其、雷剑、赵超跃

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火箭军工程大学基础部,西安 710025

多无人机协同航迹规划 麻雀搜索算法 博弈夺食机制 自毁机制

2025

北京航空航天大学学报
北京航空航天大学

北京航空航天大学学报

北大核心
影响因子:0.617
ISSN:1001-5965
年,卷(期):2025.51(1)