基于模糊聚类和专家评分机制的无人机多层次模块划分方法

doi:10.12305/j.issn.1001-506X.2022.08.18

Abstract

Abstract:

Based on the multi-level progressive module partition architecture of preliminary partition-comprehensive evaluation-precision partition, this paper provides a credible and effective method for module partition in modular unmanned aerial vehicle (UAV) design. In order to improve the credibility of the results of module partition, a scoring mechanism using expert reliability is introduced in the evaluation of module partition indicators. A multi-level module partition method is presented by applying fuzzy clustering and expert scoring mechanism. Taking the one-time and reusable UAVs as examples, the proposed module partition method is adopted to cluster the components and form a module partition scheme. Through the results of the module partition, it can be seen that the proposed method can provide a reliable module partition scheme and satisfy their application characteristics for different kinds of UAVs. Therefore, the rationality and effectiveness of the method is further verified.

Key words: modular unmanned aerial vehicle (UAV), module partition method, fuzzy clustering, expert reliability, network hierarchy structure, particle swarm optimization (PSO) algorithm

CLC Number:

V279
TB472

Jianfeng YANG, Heye XIAO, Liang LI, Junqiang BAI, Weihao DONG. Multi-level module partition method of UAV based on fuzzy clustering and expert scoring mechanism[J]. Systems Engineering and Electronics, 2022, 44(8): 2530-2539.

Figures/Tables 19

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关联度	功能相关性∂_f(i, j)	结构相关性∂_s(i, j)	电气相关性∂_e(i, j)	保障相关性∂_g(i, j)
0.7~0.9	共同完成缺一不可	需特殊工具拆装的固定连接, 或零部件间存在高精度的形位要求	有能量、数据流通	保障条件一致
0.4~0.6	辅助功能关系强	可拆固定连接, 或存在粗精度的形位要求	有数据、无能量流通	保障条件相近
0.1~0.3	辅助功能关系中	可拆活动连接	有能量、无数据流通	保障条件部分相近
0	无功能相关或很弱	无结构连接	无能量、数据流通	保障条件完全不同

评分标准	含义
1	表示两个因素具有同样的重要性
2~3	表示前一个因素比后一个因素略微重要
4~6	表示前一个因素比后一个因素重要
7~9	表示前一个因素比后一个因素极端重要
倒数	i与j比较的标度a_ij若为5, 则j与i比较的标度a_ji为1/5

信度值	职称	专业领域	从业年限
0.7~0.9	正高	无人机总体	10年以上
0.4~0.6	副高	无人机分系统	5年~10年
0.1~0.3	工程师	其他相关领域	低于5年

序号	零部件名称	序号	零部件名称
1	机翼	14	可调电位器
2	机身	15	齿轮传动装置
3	主控单元	16	桨夹
4	3轴加速度计	17	桨叶
5	3轴角速度计	18	数据链
6	气压高度计	19	机载数据链天线
7	电池	20	GPS指南针模块
8	电源管理板	21	导引头
9	总体电机	22	引信
10	电子调速器	23	战斗部
11	平尾	24	降落伞
12	垂尾	25	伞舱盖
13	舵电机	26	弹射装置

一级指标		二级指标
指标	权重	指标	权重
A1	0.356	B1	0.104
		B2	0.083
		B3	0.169
A2	0.399	B4	0.179
		B5	0.098
		B6	0.122
A3	0.245	B7	0.078
		B8	0.072
		B9	0.095

Multi-level module partition method of UAV based on fuzzy clustering and expert scoring mechanism

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序号	无人机	模块组成							来源
1	一次性使用无人机	结构模块	飞控模块	推进模块	电源模块	载荷模块	控制执行模块	安全模块	本文
2	可重复使用无人机	结构模块	飞控模块	推进模块	电源与通信模块	载荷模块	控制执行模块	—	本文
3	模块化多旋翼无人机平台	结构模块	控制模块	推进模块	能量模块	载荷模块	—	—	文献[28]
4	150 kg垂直起降无人机	结构模块	航电模块	推进模块	燃油模块	载荷模块	安全模块	—	文献[29]
5	低空长航时无人机	机体模块	飞控模块	动力与能源模块	—	载荷模块	—	—	文献[8]
6	新型无人机消防救援系统	结构模块	飞控模块	—	信息采集传输模块	载荷模块	—	—	文献[30]

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序号	零部件名称	序号	零部件名称
1	机身	20	桨夹
2	主翼	21	桨叶
3	副翼	22	发电机
4	进气道	23	舵电机2
5	主尾翼	24	可调电位器2
6	舵面	25	齿轮传动装置2
7	主控单元	26	遥控接收机
8	3轴加速度计	27	卫星通讯组件
9	3轴角速度计	28	GNSS接收机
10	气压高度计	29	GPS天线
11	空速管	30	电池
12	数据处理单元	31	电源管理板
13	舵电机1	32	数据链端机
14	可调电位器1	33	数据链天线
15	齿轮传动装置1	34	航拍组件
16	转子发动机	35	合成孔径雷达
17	油泵	36	激光测距仪
18	主油箱	37	起落架
19	副油箱	-	-