控制与决策2024,Vol.39Issue(9) :3143-3150.DOI:10.13195/j.kzyjc.2023.0331

基于置信规则库和弹道仿真的加速度计健康状态评估

Accelerometer health state assessment based on belief rule base and ballistic simulation

廉正 胡来红 周志杰 胡昌华 陈雷雨 明志超
控制与决策2024,Vol.39Issue(9) :3143-3150.DOI:10.13195/j.kzyjc.2023.0331

基于置信规则库和弹道仿真的加速度计健康状态评估

Accelerometer health state assessment based on belief rule base and ballistic simulation

廉正 1胡来红 1周志杰 1胡昌华 1陈雷雨 1明志超1
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作者信息

  • 1. 火箭军工程大学导弹工程学院,西安 710025
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摘要

结合加速度计运行机理复杂,测试样本少的特点,提出一种基于置信规则库(BRB)和弹道仿真的健康状态评估模型.首先,基于BRB建立初始的健康状态评估模型,由于定性知识的主观性,初始的评估模型难以提供准确的评估结果而需要被优化,然而,在以往的研究中优化所需的健康状态真实值一般通过专家给定,存在模糊性和不精确的问题,因此,根据加速度计在导航过程中的物理模型,基于弹道仿真方法准确地计算其健康状态的真实值;然后,基于协方差自适应进化算法(P-CMA-ES),健康状态真实值被用于初始评估模型的优化,从而准确、快速地进行健康状态评估;最后,以某型加速度计的健康状态评估为例,验证所提出方法的有效性.

Abstract

Considering the complex operation mechanism of the accelerometer and the small number of test samples,this paper proposes a health state assessment model based on belief rule base(BRB)and ballistic simulation.Firstly,an initial health state assessment model is established based on BRB.Due to the subjectivity of qualitative knowledge,the initial health state assessment model is difficult to provide accurate assessment results,so it needs to be optimized.However,the real value of health state required for optimization is generally given by experts,which are fuzzy and imprecise.Therefore,according to the physical model of the accelerometer in the navigation process,the real value of its health state is accurately calculated based on the trajectory simulation method.Based on the covariance matrix adaption evolution strategy(P-CMA-ES),the real value of health state is used to optimize the initial evaluation model,so as to accurately and quickly evaluate the health state.Finally,the effectiveness of the proposed method is verified by the health assessment of an accelerometer.

关键词

加速度计/健康状态评估/置信规则库/弹道仿真

Key words

accelerometer/health state assessment/belief rule base(BRB)/ballistic simulation

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基金项目

国家自然科学基金项目(62227814)

国家自然科学基金项目(62273113)

国家自然科学基金项目(62203461)

国家自然科学基金项目(62203365)

陕西省科技创新团队项目(2022TD-24)

出版年

2024
控制与决策
东北大学

控制与决策

CSTPCD北大核心
影响因子:1.227
ISSN:1001-0920
参考文献量12
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