Temat: active noise control - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Nonlinear Structural Acoustic Control with Shunt Circuit Governed by a Soft-Computing Algorithm
Autorzy:: Kurczyk, S.
Pawełczyk, M.
Powiązania:: https://bibliotekanauki.pl/articles/177699.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Active Noise Control
adaptive control
neural network
vibrating plate
Opis:: Noise control has gained a lot of attention recently. However, presence of nonlinearities in Signac paths for some applications can cause significant difficulties in the operation of control algorithms. In particular, this problem is common in structural noise control, which uses a piezoelectric shunt circuit. Not only vibrating structures may exhibit nonlinear characteristics, but also piezoelectric actuators. In this paper, active device casing is addressed. The objective is to minimize the noise coming out of the casing, by controlling vibration of its walls. The shunt technology is applied. The proposed control algorithm is based on algorithms from a group of soft computing. It is verified by means of simulations using data acquired from a real object.
Źródło:: Archives of Acoustics; 2018, 43, 3; 397-402
0137-5075
Pojawia się w:: Archives of Acoustics
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

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

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