系统工程与电子技术 ›› 2025, Vol. 47 ›› Issue (3): 817-826.doi: 10.12305/j.issn.1001-506X.2025.03.14

• 系统工程 • 上一篇    

面向定性与定量指标的轻量化高空飞艇效能评估方法

袁彰求1,2,3, 杨朝旭1,2,3, 荣海军1,2,3,*   

  1. 1. 西安交通大学航天航空学院, 陕西 西安 710049
    2. 西安交通大学陕西省先进飞行器服役环境与控制重点实验室, 陕西 西安 710049
    3. 西安交通大学复杂服役环境重大装备结构强度与寿命全国重点实验室, 陕西 西安 710049
  • 收稿日期:2024-02-20 出版日期:2025-03-28 发布日期:2025-04-18
  • 通讯作者: 荣海军
  • 作者简介:袁彰求 (2000—), 男, 硕士研究生, 主要研究方向为效能评估、数据挖掘
    杨朝旭 (1989—), 男, 副教授, 博士, 主要研究方向为效能评估、智能控制
    荣海军 (1978—), 女, 教授, 博士, 主要研究方向为效能评估、模糊系统
  • 基金资助:
    国家自然科学基金(61976172);国家自然科学基金(12002254);陕西省重点研发计划(2023-YBGY-235)

Lightweight effectiveness evaluation method for high altitude airships for both qualitative and quantitative indicators

Zhangqiu YUAN1,2,3, Zhaoxu YANG1,2,3, Haijun RONG1,2,3,*   

  1. 1. School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China
    2. Shaanxi Key Laboratory of Environment and Control for Flight Vehicle, Xi'an Jiaotong University, Xi'an 710049, China
    3. State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China
  • Received:2024-02-20 Online:2025-03-28 Published:2025-04-18
  • Contact: Haijun RONG

摘要:

高空飞艇具有驻空时间长、能源消耗低等优点, 在面对信息监测和长期通信方面有很高的应用价值。综合考虑飞艇平台与载荷在指标上的耦合关系, 提出一种面向定性与定量指标的轻量化高空飞艇效能评估方法。首先, 运用模糊综合评估法将无法直接用于数据分析的定性指标转化为定量指标, 实现多类型指标的完全量化。其次, 通过基于模糊C均值聚类的最大信息系数相关性分析选择与关注指标相关的指标, 构建轻量评估体系。再次, 提出专家排序评价的主客观组合赋权法, 基于轻量评估体系计算权重获得效能评估结果。最后, 通过实例验证所提效能评估方法的有效性。所提出的轻量化高空飞艇效能评估方法可为高空飞艇的设计和优化提供数据支持, 缩短研发周期、降低经济成本。

关键词: 效能评估, 模糊综合评估法, 模糊C均值聚类, 最大信息系数, 组合赋权法

Abstract:

High altitude airships possess advantages such as long endurance in the air and low energy consumption, making them highly valuable for applications in information monitoring and long-term communication. Considering the coupling between the airship platform and payload in terms of performance indicators, a lightweight effectiveness evaluation method is proposed, integrating both qualitative and quantitative indicators. First, the fuzzy comprehensive evaluation method is employed to transform qualitative indicators, which cannot be directly used for data analysis, into quantitative indicators, thereby achieving complete quantification of multiple types of indicators. Next, through maximum information coefficient correlation analysis based on fuzzy C-means clustering, select indicators related to the focus indicators and construct a scientific lightweight evaluation system. Then, a combined subjective and objective weighting method based on expert ranking evaluation is proposed, and the effectiveness evaluation results are obtained by calculating weights based on the lightweight evaluation system. Finally, the effectiveness of the proposed effectiveness evaluation method is verified through a case study. This lightweight effectiveness evaluation method can support high altitude airship design and optimization, helping to shorten development cycles and reduce costs.

Key words: effectiveness evaluation, fuzzy comprehensive evaluation method, fuzzy C-means clustering, maximum information coefficient, combined weighting method

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