系统仿真学报 ›› 2022, Vol. 34 ›› Issue (12): 2670-2679.doi: 10.16182/j.issn1004731x.joss.22-FZ0941

• 仿真模型/系统置信度评估技术 • 上一篇    下一篇

基于R-VIKOR方法的复杂系统装备仿真可信参数优选

王智广, 刘柏廷, 王晓雷, 刘涛, 杨召伟   

  1. 北京仿真中心 航天系统仿真重点实验室,北京 100854
  • 收稿日期:2022-08-09 修回日期:2022-10-26 出版日期:2022-12-31 发布日期:2022-12-21
  • 作者简介:王智广(1995-),男,硕士,工程师,研究方向为制导控制半实物仿真、模型可信性。

Reliability Parameter Optimization Complex System Simulation Based on R-VIKOR Method

Zhiguang Wang, Baiting Liu, Xiaolei Wang, Tao Liu, Zhaowei Yang   

  1. Science and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China
  • Received:2022-08-09 Revised:2022-10-26 Online:2022-12-31 Published:2022-12-21

摘要:

复杂仿真系统的运行往往不是孤立的,它总是受到多重外部因素和自身性能的影响,在进行仿真可信度计算时,不可避免地涉及到参数的选择,在与参考模型进行比较时,需要同时考虑不同的性能指标,这就转化为多属性决策问题的研究范畴。提出一种基于R-VIKOR(resist rank reversal of vise kriterijumska optimizacija | kompromisno resenje)方法的复杂系统仿真可信参数优选方法,通过模型迁移理论获得新模型的多组气动参数,与基础模型的最优参数进行相似性计算,为具有相似气动外形的新复杂系统模型提供更可靠的气动参数。

关键词: R-VIKOR(resist rank reversal of vise kriterijumska optimizacija , kompromisno resenje), 模型迁移, 可信性评估, 参数优选, 气动参数

Abstract:

The operation of complex simulation system is not isolated, and always affected by multiple external factors and its own performance. In simulation reliability calculation, parameters need to be chosen, and different performance indexes need to be taken into account when comparing with the reference model. The research is transformed into the multi-attribute decision. An system simulation trusted parameter optimization method based on R-VIKOR(resist rank reversal of visekriterijumska optimizacija | kompromisno resenje) is proposed. Multiple sets of aerodynamic parameters of the new model are obtained through model migration theory, and similarity calculation is carried out with the optimal parameters of the basic model, and more reliable aerodynamic parameters for the new aircraft model with similar aerodynamic shape are provided.

Key words: R-VIKOR(resist rank reversal of visekriterijumska optimizacija , kompromisno resenje), model of migration, credibility assessment, parameter optimization, pneumatic parameters

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