一种基于数字孪生的小功率DC/DC变换器健康状态监测方法
A Health Monitoring Method for Miniwatt DC/DC Converters Based on Digital Twins
陈纪昌 1岳继光 1夏乾 1吴琛浩1
作者信息
- 1. 同济大学 电子与信息工程学院,上海 201804
- 折叠
摘要
针对空间电源高可靠和长寿命的要求,提出一种基于数字孪生技术小功率DC/DC变换器健康状态监测方法.首先实时更新DC/DC变换器退化参数,建立"高保真"数字孪生模型;其次基于虚拟实体通过蒙特卡罗方法生成大量数据样本;然后使用层次分析法确定不同指标的权重,根据指标权重计算加权马氏距离,对最终的健康程度分类.以Superbuck变换器为实验电路,验证了所提方法的有效性.
Abstract
In response to the requirements for high reliability and long lifespan in space power supplies,a method for health state monitoring of low-power DC/DC converters based on digital twin technology is proposed.Firstly,real-time degradation parameters of the DC/DC converter are continuously updated to establish a"high-fidelity"digital twin model.Secondly,a large number of data samples are generated using the Monte Carlo method based on the virtual entity.The analytic hierarchy process is then employed to determine the weights of different indicators.Weighted Mahalanobis distance is calculated based on the indicator weights to classify the final health level.The effectiveness of the proposed method is validated using the Superbuck converter as an experimental circuit.
关键词
数字孪生/DC/DC变换器/层次分析法/加权马氏距离/健康状态监测Key words
digital twin/DC/DC converter/analytic hierarchy process(AHP)/weighted Mahalanobis distance(WMD)/health state monitoring引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据