流体机械

2006, (10) 24-28+4

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Past Issue) | 高级检索(Advanced Search)

基于RBF的风机压力脉动神经网络主动控制
Active Hydrodynamic Control Using NN Based on RBF in Wind Duct

薛永飞;吴克启;
XUE Yong-fei~(1,2),WU Ke-qi~1(1.Huazhong University of Science and Technology,Wuhan 430074,China;2.Henan Textile College,Zhengzhou 450007,China)

摘要(Abstract):

采用RBF神经网络对几种典型风机的出口压力脉动值的低频值的衰减进行了仿真,提出了基于RBF的风机压力脉动的神经网络主动控制技术,低频范围内的倍频谱A计权值相对衰减幅度可高达50%,平均的绝对衰减值为20dB左右,最高可达30dB以上。
The wind duct was imitated to making an emulator of four typical fans equipments and decreasing the low-frequency quantity of hydrodynamic pulsation.Finally,the active NN control technique was provided,which is based on RBF,applies on the hydrodynamic pulse of the wind duct.Thus,the relative lowfrequency attenuating quantity is so larger to exceed 50% sometimes,the absolute low-frequency attenuating quantity is about 20dB of the mean and more 30dB of the maximum,according to A-weighted sound pressure level in the range of the low-frequency octave band.

关键词(KeyWords): 压力脉动;低频衰减;主动控制
hydrodynamic pulsation;low-frequency attenuation;active control

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 薛永飞;吴克启;
XUE Yong-fei~(1,2),WU Ke-qi~1(1.Huazhong University of Science and Technology,Wuhan 430074,China;2.Henan Textile College,Zhengzhou 450007,China)

Email:

DOI:

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享