风洞一维离散噪声ANC技术研究
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摘要
风洞噪声不仅直接影响人们的身心健康,更重要的是较大的背景噪声还降低了风洞声学试验能力和试验精度,降低风洞噪声已成为风洞建设中攻关的关键技术问题。因此提出基于Fx-LMS自适应控制算法实现一维离散噪声主动控制,实验结果表明其能有效解决单波麦克风失匹配带来的误差,减小权系数变化对系统的影响,提高系统收敛速度;根据优化后的算法参数,在0.55 m×0.4 m声学风洞消声室进行管道噪声主动降噪实验,获得理想的降噪效果。
Noise of wind tunnels can seriously reduce the reliability and precision of wind tunnel testing. Thus,noise reduction of wind tunnels has become a key technical issue of wind tunnel construction. In this paper,a 1-D discrete active noise control(ANC) is put forward based on Fx-LMS. The results indicate that this method can minimize the error caused by microphone mismatch,decrease the influence of the weight coefficients changing on the system and increase the system convergence speed. According to the optimized algorithm parameters,the active noise control test of the duct is done in an anechoic chamber of 0.55m×0.4m of the aero-acoustic wind tunnel. Good noise reduction effect is obtained.
Noise of wind tunnels can seriously reduce the reliability and precision of wind tunnel testing. Thus,noise reduction of wind tunnels has become a key technical issue of wind tunnel construction. In this paper,a 1-D discrete active noise control(ANC) is put forward based on Fx-LMS. The results indicate that this method can minimize the error caused by microphone mismatch,decrease the influence of the weight coefficients changing on the system and increase the system convergence speed. According to the optimized algorithm parameters,the active noise control test of the duct is done in an anechoic chamber of 0.55m×0.4m of the aero-acoustic wind tunnel. Good noise reduction effect is obtained.
引文
[1]胡涵.多通道自适应有源噪声控制快速算法研究[D].西安:西北工业大学,2007.
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[7]赵晶.基于DSP的装甲车辆内部噪声主动控制研究[D].沈阳:沈阳理工大学,2005.
[8]于华民,朱海潮,施引.管道复合噪声主动控制系统及其实现[J].噪声与振动控制,2003,23(3):34-36
[2]张翔,王德石,李景熹.变步长LMS自适应滤波器算法仿真研究[J].微计算机信息,2007,23(19):252-253.
[3]梁晓.非最小相位系统的最小方差自适应控制[J].兵工自动化,2004,23.
[4]何琳,朱海潮,邱小军等.声学理论与工程应用[M].北京:科学出版社,2006.
[5]Texas Instruments.TMS320VC5509A fixed-point digital signal processor data manual[Z].2007,17.
[6]林刚.基于DSP的主动噪声控制算法结构与硬件实现研究[D].南京:南京航空航天大学,2002.
[7]赵晶.基于DSP的装甲车辆内部噪声主动控制研究[D].沈阳:沈阳理工大学,2005.
[8]于华民,朱海潮,施引.管道复合噪声主动控制系统及其实现[J].噪声与振动控制,2003,23(3):34-36