基于优化抗干扰自适应算法的变压器 有源噪声控制策略分析
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引用本文:蒋健.基于优化抗干扰自适应算法的变压器 有源噪声控制策略分析[J].计算技术与自动化,2020,(2):17-20
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作者单位
蒋健 (四川省人民医院后勤保障部四川 成都 610000) 
中文摘要:针对传统算法计算不稳定,收敛速度慢的缺陷,提出了一种满足变压器噪声控制的有源噪声前馈控制(GFWC)算法。通过在FIR滤波器中加入构造一个基本函数,采用更少的参数满足算法的收敛性和稳定性,在简化系统的同时保证控制算法系统的稳定性。算法仿真对比分析表明,GFWC算法进行有源噪声控制时,能降低电力设备噪声12~18 dB,远高于传统LMS、NLMS、FxLMS算法。可见,采用有源噪声控制算法为电力设备低频降噪提供了一个有效方式。
中文关键词:GFWC  变压器噪声  有源噪声控制  参数估计
 
Transformer Active Noise Control Strategy Based on Optimized Anti-jamming Adaptive Algorithm
Abstract:An active noise feedforward control (GFWC) algorithm for transformer noise control is proposed to solve the shortcomings of unstable computation and slow convergence of traditional algorithms. A basic function is constructed by adding FIR filter to the active noise feedforward control algorithm. By adopting fewer parameters to satisfy the convergence and stability of the algorithm,the stability of the control algorithm system is guaranteed while simplifying the system. The simulation and analysis of the algorithm show that the GFWC algorithm can reduce the noise of power equipment by 12~18 dB,which is much higher than the traditional LMS,NLMS,FxLMS algorithm for active noise control. Therefore,the active noise control proposed is adopted.The algorithm provides an effective way for low frequency noise reduction of power equipment.
keywords:GFWC  transformer noise  active noise control  parameter estimation
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