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基于RBF的风机压力脉动神经网络主动控制
引用本文:薛永飞,吴克启. 基于RBF的风机压力脉动神经网络主动控制[J]. 流体机械, 2006, 34(10): 24-28,4
作者姓名:薛永飞  吴克启
作者单位:华中科技大学,湖北武汉,430074;河南纺织高等专科学校,河南郑州,450007;华中科技大学,湖北武汉,430074
摘    要: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。

关 键 词:压力脉动  低频衰减  主动控制
文章编号:1005-0329(2006)08-0024-05
收稿时间:2005-11-04
修稿时间:2005-11-042006-02-24

Active Hydrodynamic Control Using NN Based on RBF in Wind Duct
XUE Yong-fei,WU Ke-qi. Active Hydrodynamic Control Using NN Based on RBF in Wind Duct[J]. Fluid Machinery, 2006, 34(10): 24-28,4
Authors:XUE Yong-fei  WU Ke-qi
Affiliation:1. Huazhong University of Science and Technology, Wuhan 430074, China; 2. Henan Textile College, Zhengzhou 450007, China
Abstract: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 low-frequency attenuating quantity is so larger to exceed 50% sometimes, the absolute lowfrequency 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.
Keywords:hydrodynamic pulsation   low-frequency attenuation  active control
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