航空学报 > 2024, Vol. 45 Issue (20): 630678-630678   doi: 10.7527/S1000-6893.2024.30678

无人机集群控制软件原型设计

王月星1, 周启扬1, 李敏倩2, 缪炜星1, 陆炎迪2, 葛贤亮2()   

  1. 1.中航(成都)无人机系统股份有限公司,成都 610000
    2.浙江大学 心理科学研究中心,杭州 310000
  • 收稿日期:2024-05-14 修回日期:2024-06-17 接受日期:2024-08-23 出版日期:2024-09-19 发布日期:2024-09-09
  • 通讯作者: 葛贤亮 E-mail:0918082@zju.edu.cn
  • 基金资助:
    国家级项目

Prototyping of UAV swarm control software

Yuexing WANG1, Qiyang ZHOU1, Minqian LI2, Weixing MIAO1, Yandi LU2, Xianliang GE2()   

  1. 1.AVIC (Chengdu) UAS CO. ,LTD. ,Chengdu 610000,China
    2.Research Center for Psychological Science,Zhejiang University,Hangzhou 310000,China
  • Received:2024-05-14 Revised:2024-06-17 Accepted:2024-08-23 Online:2024-09-19 Published:2024-09-09
  • Contact: Xianliang GE E-mail:0918082@zju.edu.cn
  • Supported by:
    National Level Project

摘要:

为了更好地发挥大规模、异构集群无人机(UAV)在复杂任务中的重要作用,实现控制系统的集成化、简单化、智能化操控,改善现有无人机控制系统灵活性、通用性较差的问题,通过文献综述及半结构式专家访谈报告了无人机控制系统开发及优化需求,收集了系统设计建议,基于需求与建议初步绘制出一套低保真原型界面。该原型设计亮点在于提出了一套能够满足大规模、异构集群控制的规划架构,并加入了AI智能板块。从启发式可用性评估结果来看,原型整体满意度可达89%,同时也发现了存在的可用性问题,为今后的系统优化和应用研究指明了方向。

关键词: 无人机(UAV)集群, 大规模异构集群控制, 智能辅助, 原型设计, 启发式评估

Abstract:

In order to better utilize the important role of large-scale, heterogeneous UAV cluster in complex missions, realize the integration, simplicity, and intelligent manipulation of the control system, and improve the existing UAV control system's problem of poor flexibility and versatility, this study analyzes and refines the system development requirements through a literature review, collects system design suggestions by designing semi-structured expert interviews, and preliminarily draws up a set of Based on the requirements and suggestions, a preliminary low-fidelity prototype interface is drawn. The highlight of this prototype design is to propose a set of planning architecture that can satisfy large-scale, heterogeneous cluster control, and to add AI intelligent board design. From the results of the heuristic usability evaluation, the overall satisfaction can be up to 89%, and the usability problems of the prototype are unearthed, which points out the direction for future system optimization and application.

Key words: Unmanned Aerial Vehicles (UAV) swarm, large-scale heterogeneous cluster control, intelligent assistance, prototype design, heuristic evaluation

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