系统仿真学报 ›› 2024, Vol. 36 ›› Issue (1): 272-281.doi: 10.16182/j.issn1004731x.joss.23-0122

• 论文 • 上一篇    

基于分段特征提取的仿真模型结果验证方法

罗宇成1(), 张明恩2, 刘飞1(), 陆营波2, 叶丰3   

  1. 1.华南理工大学 软件学院,广东 广州 510006
    2.上海机电工程研究所,上海 201109
    3.北京系统工程研究所,北京 100124
  • 收稿日期:2023-02-11 修回日期:2023-05-05 出版日期:2024-01-20 发布日期:2024-01-19
  • 通讯作者: 刘飞 E-mail:luoyucheng99@qq.com;feiliu@scut.edu.cn
  • 第一作者简介:罗宇成(1999-),男,硕士生,研究方向为建模与仿真、人工智能。E-mail:luoyucheng99@qq.com
  • 基金资助:
    国家自然科学基金(61873094)

Result Validation Method of Simulation Models Based on Piecewise Feature Extraction

Luo Yucheng1(), Zhang Ming'en2, Liu Fei1(), Lu Yingbo2, Ye Feng3   

  1. 1.School of Software Engineering, South China University of Technology, Guangzhou 510006, China
    2.Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China
    3.Beijing System Engineering Institute, Beijing 100124, China
  • Received:2023-02-11 Revised:2023-05-05 Online:2024-01-20 Published:2024-01-19
  • Contact: Liu Fei E-mail:luoyucheng99@qq.com;feiliu@scut.edu.cn

摘要:

校核、验证与确认(verification, validation, and accreditation, VV&A)是保证仿真模型可信度的关键手段,其中模型验证是核心环节。针对导弹飞行仿真模型结果验证存在的参考数据不可获得、参考数据来源多样、专家验证主观性强等问题,提出一种基于时间序列分段特征提取的导弹飞行仿真模型结果验证 方法提出了一种综合的时间序列分段线性方法,由基于二阶导数提取趋势边缘点的线性分段算法和基于极值点优化的Top-Down线性分段算法两部分组成,以实现对导弹飞行仿真数据和参考数据进行有效的线性分段表示基于上述分段结果,对各段时间序列的均值、方差、斜率等特征进行提取,以辅助专家进行验证,从而降低验证中的主观性;或者直接利用TIC系数法、动态时间规整(dynamic time warping, DTW)等方法进行客观的相似性分析。通过充分利用时间序列的分段特征,可实现各种情形下的导弹飞行仿真模型结果验证。通过一个导弹模型结果验证案例演示了所提方法的可行性和有效性。

关键词: 导弹飞行仿真模型结果验证, 参考数据, 客观验证, 分段特征提取, 时间序列

Abstract:

Verification, validation, and accreditation (VV&A) is a key means to ensure the credibility of simulation models, and model validation is the core link. In view of the unavailability of reference data, various sources of reference data, and strong subjectivity of expert validation in the result validation of the missile flight simulation model, a result validation method for the missile flight simulation model based on piecewise feature extraction of time series was proposed. Specifically, a comprehensive piecewise linear method for time series was first proposed. The method consisted of a linear piecewise algorithm based on the second-order derivative for extracting trend edge points and a top-down linear piecewise algorithm based on extreme point optimization, so as to achieve an efficient linear piecewise representation of the missile flight simulation data and reference data. Then, based on the segmentation results obtained above, features such as mean, variance, and slope of each time series could be extracted to assist experts in reducing subjectivity in validation. The Theil inequality coefficient (TIC) method, dynamic time warping (DTW), and other methods could also be used for objective consistency analysis. By taking advantage of piecewise features of time series, the results of the missile flight simulation model in various scenarios can be validated. Finally, a result validation case of the missile model demonstrates the feasibility and effectiveness of the proposed method.

Key words: result validation of missile flight simulation model, reference data, objective validation, piecewise feature extraction, time series

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