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Wyszukujesz frazę "active noise control" wg kryterium: Temat

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    Tytuł:
    Feedforward Control of a Light-Weight Device Casing for Active Noise Reduction
    Autorzy:
    Wrona, S.
    Pawelczyk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/177744.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    active control
    flexible structures
    active noise control
    active vibration control
    active structural acoustic control
    active casing
    Opis:
    It is possible to enhance acoustic isolation of the device from the environment by appropriately controlling vibration of a device casing. Sound insulation efficiency of this technique for a rigid casing was confirmed by the authors in previous publications. In this paper, a light-weight casing is investigated, where vibrational couplings between walls are much greater due to lack of a rigid frame. A laboratory setup is described in details. The influence of the cross-paths on successful global noise reduction is considered. Multiple vibration actuators are installed on each of the casing walls. An adaptive control strategy based on the Least Mean Square (LMS) algorithm is used to update control filter parameters. Obtained results are reported, discussed, and conclusions for future research are drawn.
    Źródło:
    Archives of Acoustics; 2016, 41, 3; 499-505
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling
    Autorzy:
    Kurczyk, S.
    Pawelczyk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/177155.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    active noise control
    adaptive control
    fuzzy inference system
    FXLMS
    sign varying step size
    Opis:
    For many adaptive noise control systems the Filtered-Reference LMS, known as the FXLMS algorithm is used to update parameters of the control filter. Appropriate adjustment of the step size is then important to guarantee convergence of the algorithm, obtain small excess mean square error, and react with required rate to variation of plant properties or noise nonstationarity. There are several recipes presented in the literature, theoretically derived or of heuristic origin. This paper focuses on a modification of the FXLMS algorithm, were convergence is guaranteed by changing sign of the algorithm steps size, instead of using a model of the secondary path. A Takagi-Sugeno-Kang fuzzy inference system is proposed to evaluate both the sign and the magnitude of the step size. Simulation experiments are presented to validate the algorithm and compare it to the classical FXLMS algorithm in terms of convergence and noise reduction.
    Źródło:
    Archives of Acoustics; 2014, 39, 2; 243-248
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Stability Conditions for the Leaky LMS Algorithm Based on Control Theory Analysis
    Autorzy:
    Bismor, D.
    Pawelczyk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/177088.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    adaptive filtering
    leaky LMS
    stability
    negative step size
    identification
    adaptive line enhancer
    active noise control
    Opis:
    The Least Mean Square (LMS) algorithm and its variants are currently the most frequently used adaptation algorithms; therefore, it is desirable to understand them thoroughly from both theoretical and practical points of view. One of the main aspects studied in the literature is the influence of the step size on stability or convergence of LMS-based algorithms. Different publications provide different stability upper bounds, but a lower bound is always set to zero. However, they are mostly based on statistical analysis. In this paper we show, by means of control theoretic analysis confirmed by simulations, that for the leaky LMS algorithm, a small negative step size is allowed. Moreover, the control theoretic approach alows to minimize the number of assumptions necessary to prove the new condition. Thus, although a positive step size is fully justified for practical applications since it reduces the mean-square error, knowledge about an allowed small negative step size is important from a cognitive point of view.
    Źródło:
    Archives of Acoustics; 2016, 41, 4; 731-739
    0137-5075
    Pojawia się w:
    Archives of Acoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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