期刊
SUSTAINABILITY
卷 15, 期 18, 页码 -出版社
MDPI
DOI: 10.3390/su151813430
关键词
substation noise; active noise control; filtered-x least mean squares; normalized filter-x least mean squares; variable step-size normalized filter-x least mean squares
This study develops a real-time active noise control system and evaluates different ANC methods for low-frequency noise reduction. The results show that the ANC system is effective in attenuating substation noise.
Substation noise is a crucial factor that influences residents' quality of life, especially in the densely residential areas. Despite small- and medium-sized transformer facilities having relatively low noise levels, due to their proximity to residential areas, they generate considerable annoyance, rendering them a focal point among environmental noise complaints. The predominant noise emitted by these facilities falls within the medium- and low-frequency spectrum range, and the conventional passive noise reduction techniques exhibit limited efficacy in attenuating such low-frequency noise. This study develops a real-time active noise control (ANC) system based on a digital signal processor, TMS320F28335, and various ANC methods, including Filtered-X Least Mean Squares (FxLMS), Normalized Filter-X Least Mean Squares (FxNLMS), and variable step-size FxLMS (VS-FxLMS), are evaluated for the low-frequency noise reduction. In addition, the substation noises at a residential community are measured, analyzed, and used as noise source together with a series of sinusoidal waves for evaluation of the ANC algorithms. Results show the ANC system are effective in attenuating most low-frequency noises (within 600 Hz) and the average noise reduction for the substation noises has achieved by more than 12 dB.
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