不确定噪声扰动下的电力变换器故障检测
Fault Detection of Power Converter under Uncertain Noise Disturbances
DOI: 10.12677/CSA.2019.95104, PDF,   
作者: 刘子幸, 王子赟*, 王 艳, 纪志成：江南大学物联网技术与应用教育部工程中心，江苏 无锡
关键词: 集员估计；电力变换器；故障检测；Set Membership Estimation； Power Converter； Fault Detection
摘要: 针对未知但有界的不确定噪声扰动下的电力变换器系统，提出了一种基于集员估计的故障检测方法。以Buck变换器为例，将其仿真所得电流电压数值作为集员估计的输入，通过椭球包围所有参数的可行集，当近似可行集为空集时可以判定Buck变换器存在故障。
Abstract: A fault detection method based on set membership estimation is proposed for power converter systems with unknown but bounded uncertain noise disturbances. Taking Buck converter as an example, the current and voltage values obtained by simulation are taken as input of set membership estimation. The feasible set of all parameters is surrounded by ellipsoid and it can be concluded that the Buck converter is faulty when the approximate feasible set is empty set.
文章引用：刘子幸, 王子赟, 王艳, 纪志成. 不确定噪声扰动下的电力变换器故障检测[J]. 计算机科学与应用, 2019, 9(5): 921-925. https://doi.org/10.12677/CSA.2019.95104

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