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- W2241813298 abstract "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." @default.
- W2241813298 created "2016-06-24" @default.
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- W2241813298 date "2015-10-01" @default.
- W2241813298 modified "2023-09-28" @default.
- W2241813298 title "Adaptive Kalman filter for harmonic detection in active power filter application" @default.
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- W2241813298 doi "https://doi.org/10.1109/epec.2015.7379954" @default.
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