基于遗传算法的有源消声系统设计  

Design of active noise control system based on genetic algorithm

作　　者：江华丽[1] 

机构地区：[1]福建师范大学闽南科技学院,泉州362332

出　　处：《电子测量技术》2012年第9期49-51,共3页Electronic Measurement Technology

摘　　要：建立了基于遗传算法的自适应有源消声模型,介绍有源消声系统原理,自适应控制系统的关键在于其控制算法,用算法来调整滤波器的系数。在消声系统里必须考虑的因素主要有误差、声音的延迟、声音的衰减、在公式中适当的加入相位变化等。该系统结合神经网络算法,遗传算法和BP算法结合并改进提高了精度和准确性,可以用来优化神经网络的结构及其权值。实验分别从单音和复音情况进行,实验结果证明了基于神经网络算法的自适应有源消声系统有良好的消声效果,该系统稳定性较强。It is introduced the adaptive active noise control model based on genetic algorithm,introduces the principle of active noise control system,the adaptive control system lies in its control algorithm to adjust the filter coefficients.The main factors must be considered in the muffler system error,the sound delay,sound attenuation,and the formula by adding the phase change.The system combines neural networks to improve the precision and accuracy,can be used to optimize the structure of the neural network weights.Experiment proves that adaptive active noise control system based on neural network algorithm has a good effect,the system is stable.

关 键 词：遗传算法 神经网络 有源消声系统 

分 类 号：TP368.2[自动化与计算机技术—计算机系统结构]