Pomiary w układach napędowych z zastosowaniem sensora Ferraris

W artykule przedstawiono wykorzystanie czujnika przyspieszenia typu Ferraris do oceny pracy układu napędowego przekrawacza rotacyjnego. Omówiono zasadę działania czujnika i porównano jego własności dynamiczne z przetwornikami typu sin/cos do pomiaru prędkości maszyny. Przedstawiono układ napędowy przekrawacza rotacyjnego, w którym zastosowano omawiane czujniki do diagnostyki pracy maszyny. Dokonano analizy częstotliwościowej wyników badań różnych elementów maszyny. Przedstawiono propozycje dalszych prac nad wykorzystaniem przetworników do sterowania maszyną.

Dynamic development of drive systems and increasing demands in positioning contribute to research in new measurement techniques that can lead to more accurate control of machines. To assure an appropriate control of position, velocity or acceleration, these signals should be precisely measured and processed. New solutions take the advantage of Ferraris sensors which measure the relative acceleration. The paper presents an example of implementation of this type of sensors in monitoring of a high speed rotating cutoff. The principle of the sensor is based on rotating magnetic field, described by G. Ferraris. Turning the disc of non-magnetic material in the area of the stationary magnetic field, eddy currents are generated within the disc proportional to its velocity. As a consequence, secondary magnetic fields, proportional to the angular acceleration, are created and detected by the pick-up coils (Fig. 1). Three Ferraris sensors together with sin/cos encoders were installed on two knife shafts (Fig. 4) of the high speed rotating cutoff (Fig. 2) and signals collected from them were used in spectral analysis of the working machine. Data processing consist of estimation of velocity of shafts and calculation of spectra using von Hann window. Comparison of the spectra for different conditions, like, e.g., Ferraris and sin/cos sensor (Figs. 6, 7), upper and lower shaft (Fig. 8), left and right motor (Fig. 9), allows to estimate the state of the machine and to detect vibrations at particular frequencies. The results show also usefulness of the Ferraris sensors in such analysis and its predominance over classical encoders.