| 基于BP网络的管道自适应有源消声研究 |
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| 引用本文： | 杨国林,朱海潮. 基于BP网络的管道自适应有源消声研究[J]. 海军工程大学学报, 2004, 16(2): 48-50 |
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| 作者姓名： | 杨国林 朱海潮 |
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| 作者单位： | 海军工程大学,振动与噪声研究所,湖北,武汉,430033 |
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| 摘 要： | 由于管道有源消声系统的参数时变性和本质非线性,基于传统自适应算法的控制系统稳定性不够,容易产生振荡.文章采用神经网络BP算法,利用Matlab6.0建立了管道有源消声的仿真控制系统.通过与采用传统自适应算法的控制系统进行仿真研究对比,证明采用神经网络BP算法的控制系统消声效果更加明显.
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| 关 键 词： | BP网络 管道 自适应有源消声 |
| 文章编号： | 1009-3486(2004)02-0048-03 |
| 修稿时间： | 2003-09-14 |
Adaptive active noise control in ducts based on BP network |
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| YANG Guo-lin,ZHU Hai-chao. Adaptive active noise control in ducts based on BP network[J]. Journal of Naval University of Engineering, 2004, 16(2): 48-50 |
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| Authors: | YANG Guo-lin ZHU Hai-chao |
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| Abstract: | The stability of the controller based on traditional adaptive algorithms is not sufficient because of the time-varying parameters and essential nonlinear property of the active noise control system in ducts. The neural network BP algorithm is applied to the active noise control system in ducts, and the simulation research is carried out by means of matlab6.0. The results show that the perfor-(mance) of the controller using BP algorithm is superior to the one using traditional algorithms. |
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| Keywords: | BP network duct adaptive active noise control |
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