Adaptive Kalman Filter for Harmonic Detection in Active Power Filter Application

被引：0

作者：

Wang, Hengyi ^{[1
]}

Liu, Steven ^{[1
]}

机构：

[1] Univ Kaiserslautern, Inst Control Syst, D-67663 Kaiserslautern, Germany

来源：

2015 IEEE ELECTRICAL POWER AND ENERGY CONFERENCE (EPEC) | 2015年

关键词：

Active power filter(APF); adaptive Kalman filter; harmonic detection; measurement noise; power conditioning; VOLTAGES;

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：

This paper deals with the harmonic detection which is decoupled from the operation of active power filter. Kalman filter for harmonic detection based on a stochastic state-space model is proposed. However, it is a challenging task in large time varying system to know the process and noise covariance matrices Q and R. In this active power filter application, the current sensor TLC277CD and ADC LTC1403A which introduce load current measurement inaccuracies are analyzed to decide a rough R. Based on that R is exactly known, two adaptive Kalman filter algorithms to scale Q are proposed. One of the adaptive Kalman methods switches two basic Q matrices depending on the system in transient- or steady-state. The other Kalman algorithm tunes an optimal Q at each step by using the information of innovations sequence. The simulation results show that both adaptive Kalman filters have better dynamic performance than the regular Kalman filter.

引用

页码：227 / 232

页数：6

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