Volume 39, Number 5, October 2021
|1158 - 1167
|14 December 2021
Research on simulation model validation based on probability relational analysis
China Huayin Ordnance Test Center, Huayin 714200, China
2 College of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China
3 Xi'an Modern Control Technology Research Institute, Xi'an 710065, China
The most basic and direct method for simulation model validation is to compare the consistency of missile flight data and simulation data under the same input conditions. However, the existing dynamic data consistency analysis methods are mainly suitable for the case between 1-D missile flight data and 1-D simulation data, and do not conform to the consistency test of single sample flight data and multi-sample simulation data in equipment qualification/finalization test. To solve this problem, a simulation model validation method based on probabilistic relational analysis is proposed. The consistency of output data is measured from the two scales of probability relational coefficient and probability relational degree. The probability relational coefficient is determined by calculating the cumulative distribution probability value of real missile flight samples in the distribution function constructed by simulation data. The probability correlation degree is calculated by judging whether the probability relational coefficient satisfies the uniform distribution of[0 1]. The consistency analysis problem of a kind of dynamic data association is solved accordingly. The correlation theorem that the probability relational degree must satisfy and its property are proved. Meanwhile the operation steps of simulation model verification based on probability correlation analysis are given. This method can process all multi-dimensional simulation data at the same time, and integrate the random factors in the test process, so it can make full use of the test information under the condition of small sample flight test, and improve precision and the reliability of simulation model verification. The rationality and validity of this method are further verified by numerical tests and application examples.
Key words: equipment qualification/finalization / simulation models validation / probability relational degree / missile flight data / simulation data / consistency analysis
关键字 : 装备鉴定/定型 / 仿真模型验证 / 概率关联度 / 实弹飞行数据 / 仿真数据 / 一致性分析
© 2021 Journal of Northwestern Polytechnical University. All rights reserved.
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