Application of FVBLMS Algorithm in Active Control of Transformer Noise

WANG Jinwei; YING Liming; YANG Peng; WANG Guodong; WANG Donghui

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Application of FVBLMS Algorithm in Active Control of Transformer Noise

更新时间：2025-12-08

- Application of FVBLMS Algorithm in Active Control of Transformer Noise
- Vol. 44, Issue 4, Pages: 1232-1238(2018)
- 作者机构：
  
  武汉大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：10 May 2018，
  
  Published：2018
- 稿件说明：
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WANG Jinwei, YING Liming, YANG Peng, et al. Application of FVBLMS Algorithm in Active Control of Transformer Noise[J]. 2018, 44(4): 1232-1238.
DOI：

WANG Jinwei, YING Liming, YANG Peng, et al. Application of FVBLMS Algorithm in Active Control of Transformer Noise[J]. 2018, 44(4): 1232-1238. DOI：

摘要

为研究有源噪声控制（ANC）技术应用于变电站噪声治理的问题

设计并搭建了一种基于快速频域变块长最小均方误差算法（FVBLMS）的有源噪声控制系统装置。提出的FVBLMS算法在BLMS算法基础上提高了计算效率

增强了在线性能

通过性能分析及仿真验证该算法的计算时间比BLMS算法缩短了0.058 s。在FVBLMS算法基础上

设计并搭建了一套具有能够抵抗变电站强磁环境干扰的有源噪声控制系统装置

利用该装置在真实变电站中进行降噪实验。实验结果表明

该噪声控制系统在局部降噪区域内取得平均5.8 dB的总降噪量

为ANC系统在变电站噪声治理中的实际应用提供依据和参考。

Abstract

In order to study the application of active noise control technology（ANC） for substation noise control

an active noise control system device based on fast frequency domain variable block minimum mean square error（FVBLMS） algorithm is designed and constructed. Compared with the BLMS algorithm

the FVBLMS algorithm improves the computational efficiency and enhances the online performance. The performance analysis and simulation results show that the computing time of the proposed algorithm is shortened by 0.058 s compared with that by the BLMS algorithm. On the basis of FVBLMS algorithm

a set of active noise control system which can resist the strong magnetic environment interference of substation is designed and built. The device is used to test the noise reduction in real substation. Experimental results show that the noise reduction system can achieve the average total noise reduction of 5.8 dB in a certain noise reduction area. This system has a certain ability to reduce noise

and has guiding meaning for further engineering applications.

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