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    Tytuł:
    Large-signal averaged models of the non-ideal flyback converter derived by the separation of variables
    Autorzy:
    Janke, W.
    Bączek, M.
    Kraśniewski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/200399.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    switch mode converter
    flyback
    averaged models
    separation of variables
    large-signal simulation
    Opis:
    The main topic of the paper is the large signal averaged model of a switch-mode flyback power converter. The use of the large-signal averaged models of switching converters allows for fast simulation of power systems. The known averaged models of a flyback are based on the state-space averaging or switch-averaging approach. The model presented in the paper is derived with the use of the separation of variables approach and include parasitic resistances of all converter components. The limitations of the model accuracy are discussed. The calculations based on the averaged model are compared with detailed full-wave simulations and measurements results.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 1; 81-88
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Attenuating and enhancing properties of the approximate deconvolution method based on higher-order explicit and compact filters
    Autorzy:
    Caban, L.
    Tyliszczak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/38695731.pdf
    Data publikacji:
    2023
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    explicit filter
    compact filter
    van Cittert deconvolution method
    signal analysis
    sub-filter scales reconstruction
    Large Eddy Simulation
    Opis:
    We analyse the accuracy of a deconvolution (inverse filtering) method in 1D and 2D periodic domains. The deconvolution is performed by applying the iterative van Cittert method using explicit and compact filters of the 2nd to 8th order. We consider cases in which an approximate inverse filter $ G_\alpha^{-1} $ formulated to deconvolve an original function from a filtered one $ ( \overline{f} = G \ast f ) $ is constructed based on: (a) $G$ the same as used to define $ \overline{f} = G \ast f $; (b) $ G $ different than the one used to define $ \overline{f} = G \ast f $. In case (a), the convergence rate of the deconvolution process is much better when compact filters are used. This is attributed to a flatter transfer function of this type of filter and thus a smaller deterioration of the input function $ \overline{f} $. Case (b) reflects a real situation in which the precise definition of a basic filter $G$ used in $ \overline{f} = G \ast f $ is unknown. We found that when $ G_\alpha^{-1} $ is formulated based on $G$ of a higher order than the one used to define $ \overline{f} $ the reconstructed function $ f^\ast = G_\alpha^{-1} \ast \overline{f} $ is suppressed compared to the original function $f$. On the other hand, the deconvolution process performed with the use of $ G_\alpha^{-1} $ defined based on $G$ of a lower order than the order of the basic filter significantly amplifies the reconstructed function $ f^\ast $. As a result, the function $ f^\ast $ contains more energy than the function $f$, especially in the range of small and high-frequency scales. This effect is particularly strong when explicit filters of different orders are used. The impact of the filter type in the practical application of deconvolution is demonstrated based on large eddy simulations (LES) of a 2D decaying homogenous turbulent flow. LES combined with an approximate deconvolution method (ADM) for the computation of sub-filter terms shows better accuracy than in the case when these terms are modelled using the classical Smagorinsky model or when they are neglected (no-model approach). This analysis consists of comparisons of the evolution of total energy, energy spectra, and higher-order moments (variance, skewness, kurtosis) of the velocity components and vorticity. We found that more accurate results are obtained when the deconvolution is performed using the explicit filters even if the deconvolution process based on the compact filters was found to converge faster in 1D and 2D test cases. Most likely this is because in the performed LES the explicit filters correspond better to an unknown filter induced by discretisation.
    Źródło:
    Archives of Mechanics; 2023, 75, 1-2; 107-149
    0373-2029
    Pojawia się w:
    Archives of Mechanics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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