摘要
为精准可视化呈现无人机的自主能力等级,提出一种基于云模型的无人机自主能力评价方法。首先建立无人机自主能力评价指标体系;接着采用序关系分析法和熵权法分别确定主客观权重,运用博弈论确定最优线性组合权重系数,得到各指标的综合权重;然后采用黄金分割法将无人机自主能力划分为五个等级,从无人机系统性能和任务完成情况两个维度构建无人机自主能力评价云模型;最后对某公司M型无人机进行算例研究,得到该无人机的自主能力为良好,并运用云图直观呈现评价结论。研究结果表明:该云模型能够有效处理无人机自主能力评价信息的模糊性和随机性,符合决策场景,为无人机的自主能力评价提供有效参考。
To accurately visualize the autonomous capability level of unmanned aerial vehicles(UAVs),a cloud model for evaluation of UAV autonomous capability is proposed.Firstly,an evaluation index system for UAV autonomous capability is established.Then,the subjective and objective weights are determined respectively based on order relation analysis method and entropy weight method,while the optimal linear combination weight coefficients are determined by game theory and the comprehensive weights of each indicator are obtained.The golden ratio method is used to divide UAV autonomous capability into five levels,and a two-dimensional cloud model for evaluating UAV autonomous capability is constructed from two perspectives:system performance and task completion.Finally,a case study is conducted on an M-type UAV from a certain company and the result indicates that its autonomous capability is good.The evaluation conclusion is visually presented by cloud maps.The proposed model can effectively handle the fuzziness and randomness of UAV autonomy evaluation,which is in line with decision-making scenarios and provides a valuable reference for UAV autonomous capability assessment.
作者
闫琼
张泽宇
张宏博
YAN Qiong;ZHANG Zeyu;ZHANG Hongbo(School of Management Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450046,China)
出处
《郑州航空工业管理学院学报》
2025年第3期29-39,共11页
Journal of Zhengzhou University of Aeronautics
基金
教育部人文社科项目(22YJAZH144)
河南省科技攻关项目(232102320063,232102320059,242102220032)
河南省高等学校重点科研项目(24A630039,24B460024)
郑州航院大学生创新创业项目资助。
关键词
无人机
自主能力评价
组合赋权法
云模型
UAVs
autonomous capability evaluation
combined weighting method
cloud model
