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多无人机协同任务规划方法研究综述

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随着通信技术的发展,未来多无人机系统将会朝向集群化、自主化和智能化方向发展。通过单元间的信息融合和能力互补,多无人机系统可以打破自身能力壁垒,形成多样化的任务能力。任务规划是多无人机系统协同应用的顶层设计,属于带约束的组合优化问题,是在任务需求、单元能力和环境态势的影响下,优化求解获得满足要求的、优化的任务执行方案。从问题表征建模和方案求解评估两个角度梳理现有研究,从场景分析、任务分配和航迹规划3个方面总结问题表征建模部分的研究,从求解算法和效能评估两个方面总结方案求解评估部分的研究。最后,分析未来无人机任务规划研究中值得关注的若干方向。
Review of research on multi-UAV collaborative mission planning method
With the development of communication technology,the future development of multi-unmanned aerial vehicle(UAV)system is trending towards clusterization,autonomy,and intelligence.Through information fusion and capability complementation among units,multi-UAV system can break through their inherent technology limitations and form diversified mission capabilities.Mission planning serves as the top-level design for collaborative applications of multi-UAV system.It is a combinatorial optimization problem with constraints,seeking to obtain optimal mission execution plans that satisfy requirements,with the consideration of mission demands,unit capabilities,and environmental situations.This paper summarizes existing research result from two perspectives:problem representation modeling and plan solution evaluation.Specifically,it reviews the research result of problem representation modeling in terms of scenario analysis,task allocation,and trajectory planning,and examines solution evaluation in terms of solving algorithms and performance assessment.Finally,several directions worthy of attention in future research on UAV mission planning are analyzed.

multi-unmanned aerial vehicle(UAV)systemmission planningproblem representation and modelingplan solving and evaluation

王建峰、贾高伟、郭正、侯中喜

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国防科技大学空天科学学院,湖南长沙 410073

多无人机系统 任务规划 问题表征及建模 方案求解评估

国家自然科学基金湖南省自然科学基金

618014952019JJ50744

2024

系统工程与电子技术
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会

系统工程与电子技术

CSTPCD北大核心
影响因子:0.847
ISSN:1001-506X
年,卷(期):2024.46(10)