Electrolytic Capacitor Degradation Monitoring using an On-line Parameter Estimation Scheme involving Sliding Mode Differentiators and a Kalman Filter

被引:0
作者
Andrade, J. M. [1 ]
机构
[1] Univ Derby, Coll Engn & Technol, Dept Elect Comp & Math, Derby DE22 3AW, England
来源
2019 21ST EUROPEAN CONFERENCE ON POWER ELECTRONICS AND APPLICATIONS (EPE '19 ECCE EUROPE) | 2019年
关键词
Parameter Estimation; Diagnostics; Estimation Technique; Capacitor Degradation; Capacitor Ageing; Condition Monitoring; Kalman Filter; Sliding Mode Differentiator; Robust Exact Differentiation; CONVERTERS; FAILURE;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
An indication of electrolytic capacitor gradual degradation may be obtained by observing an increase in the equivalent series resistance (ESR) and a decrease in capacitance over time. On-line condition monitoring of these two electrical parameters allows for early detection of the capacitor ageing that can reduce catastrophic failure and their costly consequences. In this paper, a parameter estimation scheme consisting of sliding mode differentiators and a Kalman filter is proposed for electrolytic capacitor degradation monitoring. Satisfactory on-line estimation of the ESR and capacitance under noisy conditions is achieved with the proposed approach as demonstrated through computer simulation results.
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页数:14
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