基于反馈系统FXLMS的非线性主动降噪
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摘要
针对家用空调室内柜机低频噪声问题,采用了反馈型主动降噪系统进行消噪。反馈型主动降噪系统算法的性能依赖于次级通道估计的准确度。为了提高反馈系统中自适应算法的性能,引入了非线性滤波器。仿真分析对比了在次级通道为不同的系统时基于线性和非线性滤波器的自适应算法的收敛速度和降噪性能。基于TMS320VC5509 DSP搭建主动降噪硬件系统,根据某家用空调室内柜机的低频噪声特性设计试验方案并验证。通过对比降噪性能,试验结果和仿真结果一致。
The feedback active noise control system is used to eliminate the low frequency noise of the indoor unit of household air-conditioner. The performance of adaptive filtering algorithm of feedback system depends on secondary-path transfer function accuracy. Nonlinear filter is applied to improve the performance of adaptive algorithm for feedback system. The convergence speed and the noise reduction are compared between linear and nonlinear filter adaptive algorithm under different secondary-path transfer function. The active noise control hardware system is built based on TMS320VC5509 DSP. Test scheme is designed according to low frequency noise characteristics of the indoor unit of a household air-conditioner. The simulation results and experiment results show a good consistency by comparing with noise reduction.
The feedback active noise control system is used to eliminate the low frequency noise of the indoor unit of household air-conditioner. The performance of adaptive filtering algorithm of feedback system depends on secondary-path transfer function accuracy. Nonlinear filter is applied to improve the performance of adaptive algorithm for feedback system. The convergence speed and the noise reduction are compared between linear and nonlinear filter adaptive algorithm under different secondary-path transfer function. The active noise control hardware system is built based on TMS320VC5509 DSP. Test scheme is designed according to low frequency noise characteristics of the indoor unit of a household air-conditioner. The simulation results and experiment results show a good consistency by comparing with noise reduction.
引文
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[13]房媛媛,李亚安,崔琳,等.基于Volterra级数的自适应水声信号预测方法研究[J].兵工学报,2013,34(9):1173-1179.FANG Yuan-yuan,LI Ya-an,CUI Lin.Research on prediction of underwater acoustic signals based on volterra adaptive filter[J].Acta Armamentarii,2013,34(9):1173-1179.
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[15]SCHETZEN M.Nonlinear System Modelling and Analysis from the Volterra and Wiener Perspective[M]//Block-oriented Nonlinear System Identification.Springer London,2010:13-24.
[2]卢剑伟.家用空调器机械噪声源识别研究[J].合肥工业大学学报(自然科学版),2006,29(1):73-76.LU Jian-wei.Identification of the mechanical noise source in domestic air conditioners[J].Journal of Hefei University of Technology,2006,29(1):73-76.
[3]于坤鹏,陈天宁,王小鹏.吸声棉对声子晶体禁带特性的影响研究[J].新型工业化,2013,3(4):1-7.YU Kun-peng,CHEN Tian-ning,WANG Xiao-peng.Effect of the glass wool on the band gap of phononic crystal[J].The Journal of New Industrialization,2013,3(4):1-7.
[4]陈克安.有源噪声控制[M].北京:国防工业出版社,2014:11.CHEN Ke-an.Active Noise Control[M].Beijing:National Defense Industry Press,2014:11.
[5]HU J,HSIAO T.Adaptive Feedforward Active Noise Cancellation in Ducts Using the Model Matching of Wave Propagation Dynamics[J].IEEE Transactions on Control Systems Technology,2012,20(5):1351-1356.
[6]ROMEU J,SALUENA X,JIMENEZ S,et al.Active noise control in ducts in presence of standing waves.Its influence on feedback effect[J].Applied Acoustics,2001,62(1):3-14.
[7]袁宇鹏,杨璐溦,刘洋.自适应神经模糊推理系统在汽车发动机转速预测中的应用[J].新型工业化,2014,4(12):31-35.YUAN Yu-peng,YANG Lu-wei,LIU Yang.Application of adaptive neural-network-based fuzzy inference system in vehicle engine speed prediction[J].The Journal of New Industrialization,2014,4(12):31-35.
[8]KUO S M,VIJAYAN D.Adaptive feedback active noise control[C]//Noise Con 1994:Proceedings of the 1994 National Conference on Noise Control Engineering,1994(6):473-478.
[9]ARDEKANI I T,ABDULLA W H.Effects of imperfect secondary path modeling on adaptive noise control system.[J].IEEE Transaction on Control Systems Technology,2012,20(5):1252-1262.
[10]WANG T,Gan W S.Stochastic analysis of FXLMS-based internal model control feedback active noise control systems[J].Signal Processing,2014,101(C):121-133.
[11]LUO L,Sun J,HUANG B.A novel feedback active noise control for broadband chaotic noise and random noise[J].Applied Acoustics,2017,116:229-237.
[12]BOYD S,CHUA L O,DESOER C A.Analytical Foundations of Volterra Series[J].Ima Journal of Mathematical Control&Information,1984,1(3):243-282.
[13]房媛媛,李亚安,崔琳,等.基于Volterra级数的自适应水声信号预测方法研究[J].兵工学报,2013,34(9):1173-1179.FANG Yuan-yuan,LI Ya-an,CUI Lin.Research on prediction of underwater acoustic signals based on volterra adaptive filter[J].Acta Armamentarii,2013,34(9):1173-1179.
[14]KOH T,POWERS E J.Second-order Volterra filtering and its application to nonlinear system identification[J].IEEE Transactions on Acoustics Speech&Signal Processing,1985,33(6):1445-1455.
[15]SCHETZEN M.Nonlinear System Modelling and Analysis from the Volterra and Wiener Perspective[M]//Block-oriented Nonlinear System Identification.Springer London,2010:13-24.