Noise reduction in zero crossing detection by predictive digital filtering

A simple combination of nonlinear and linear digital signal processing methods is proposed for efficient noise reduction in zero crossing detectors. The method is very robust against strong impulsive noise, typically encountered in thyristor power converters, where reliable zero crossing detection i...

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Published in:IEEE transactions on industrial electronics (1982) 1995-02, Vol.42 (1), p.58-62
Main Authors: Vainio, O., Ovaska, S.J.
Format: Article
Language:English
Subjects:
Applied sciences
Band pass filters
Detectors
Digital filters
Digital signal processing
Electrical engineering. Electrical power engineering
Exact sciences and technology
Filtering theory
Finite impulse response filter
Frequency
Noise reduction
Nonlinear filters
Power electronics, power supplies
Thyristors
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container_title IEEE transactions on industrial electronics (1982)
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Ovaska, S.J.
description A simple combination of nonlinear and linear digital signal processing methods is proposed for efficient noise reduction in zero crossing detectors. The method is very robust against strong impulsive noise, typically encountered in thyristor power converters, where reliable zero crossing detection is required for firing synchronization. A systematic design procedure is described for the proposed filter-based synchronization method, taking into account the specified line frequency tolerance. The fully digital signal processing approach allows compact implementations, and supports flexible interfacing to digital motor control systems.< >
doi_str_mv 10.1109/41.345846
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1557-9948
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source IEEE Electronic Library (IEL) Journals
subjects Applied sciences
Band pass filters
Detectors
Digital filters
Digital signal processing
Electrical engineering. Electrical power engineering
Exact sciences and technology
Filtering theory
Finite impulse response filter
Frequency
Noise reduction
Nonlinear filters
Power electronics, power supplies
Thyristors
title Noise reduction in zero crossing detection by predictive digital filtering
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