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Realizacja dolnoprzepustowych filtrów parametrycznych

Piwowar Anna

Przegląd Elektrotechniczny

2021

R. 97, nr 3

45--50

W artykule przedstawiono realizacje dolnoprzepustowych filtrów o parametrach zmiennych w czasie. Strukturę filtru pierwszego rzędu zbudowano na bazie układu mnożącego. Filtr drugiego rzędu opracowano na bazie sekcji bikwadratowych. Przyjęto eksponencjalnie zmienny w czasie przebieg zmian parametrów filtrów. Uzyskane wyniki zilustrowano przykładami.

The article presents practical realization of low pass time-varying filters. The structure of first order filter is created based on multiplier. The second order filler is build based on biquadrate structure. The exponential waveform of variable coefficients is assumed. The obtained results are verified by examples

Fast filtration method for static automatic catchweighing instruments using a nonstationary filter

Pietrzak P.

Metrology and Measurement Systems

2009

Vol. 16, nr 4

669-676

The filtration process of measurement signals which occur in industrial weighing systems, decides upon the accuracy of measurement and the duration time of the weighing process alike. The filtration problem gains great meaning in automatic catchweighing instruments whose rate of operation, in case of static weighing, can reach even a hundred weighings per minute. Since output signals from the catchweighing instruments, due to mechanical vibrations and the noise from the environment, are always contaminated with noise, filtration methods which ensure strong attenuation of vibrations and fast transmission of the signal's constant component, should be applied. In this case, filtration methods involving nonstationary filters turn out to be a good solution. In the paper the filtration method using a discrete nonstationary filter has been discussed. The results of the numerical experiment which was carried out based on the measurement signals recorded on the catchweigher operating in the industrial environment, have been presented. The results obtained using the nonstationary filter have been compared with its stationary equivalent.