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

摘要/Abstract

摘要：

本文基于初步划分-综合评价-精准划分的多层次递进模块划分架构, 为模块化无人机设计中模块划分提供可信、有效的方法。以提升模块划分结果的可信度为目标, 在模块划分指标评价中引入基于专家信度的评分机制, 形成了基于模糊聚类和专家评分机制的多层次模块划分方法。以一次性、可重复使用无人机为例, 采用本文提出的模块划分方法, 进行零部件聚类并形成模块划分方案。由模块划分结果可知, 本文模块划分方法可对不同模式的无人机获得符合其使用特点、可信的模块划分方案, 进而验证了方法的合理性和有效性。

关键词: 模块化无人机, 模块划分方法, 模糊聚类, 专家信度, 网络层次结构, 粒子群优化算法

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

中图分类号:

V279
TB472

杨建峰, 肖和业, 李亮, 白俊强, 董维浩. 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[J]. 系统工程与电子技术, 2022, 44(8): 2530-2539.

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.

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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