[1]闫孝姮,查鹏程,刘国强,等.双通道有源降噪次级声源优化布放的研究[J].高压电器,2020,56(03):150-155,163.[doi:10.13296/j.1001-1609.hva.2020.03.022]
 YAN Xiaoheng,ZHA Pengcheng,LIU Guoqiang,et al.Research on Optimal Placement of Dual Channel Active Noise Reduction Secondary Sound Sources[J].High Voltage Apparatus,2020,56(03):150-155,163.[doi:10.13296/j.1001-1609.hva.2020.03.022]
点击复制

双通道有源降噪次级声源优化布放的研究()
分享到:

《高压电器》[ISSN:1001-1609/CN:61-11271/TM]

卷:
第56卷
期数:
2020年03期
页码:
150-155,163
栏目:
研究与分析
出版日期:
2020-03-15

文章信息/Info

Title:
Research on Optimal Placement of Dual Channel Active Noise Reduction Secondary Sound Sources
作者:
闫孝姮12 查鹏程12 刘国强23 张 超23
(2. 辽宁工程技术大学电气与控制工程学院, 辽宁 葫芦岛 125105; 中国科学院电工研究所,北京100190; 3. 中国科学院大学电子电气与通信工程学院,北京101407)
Author(s):
YAN Xiaoheng12 ZHA Pengcheng 12 LIU Guoqiang23 ZHANG Chao23
(1. Department of Electrical and Control Engineering, Liaoning Technical University, Liaoning Huludao 125105, China; 2. Institute of Electrical Engineering Chinese Academy of Sciences, Beijing 100190, China; 3. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101407, China)
关键词:
有源降噪 次级声源 最优角度 双通道
Keywords:
active noise reduction secondary sound source optimum perspective dual channel
DOI:
10.13296/j.1001-1609.hva.2020.03.022
摘要:
由于电力变压器的磁致伸缩现象向外辐射高分贝噪声,严重影响站内工作人员及附近居民工作与生活。文中以电力变压器有源降噪为目标,通过测量与分析变压器噪声成分,建立3个偶极声源条件下的有源降噪模型,给出模型中次级声源的最优角度;采用自适应滤波算法,对电力变压器噪声进行有源降噪可行性仿真分析;搭建基于LMS算法的DSP双通道有源降噪系统,并与单通道降噪系统进行实验对比,实验结果表明,当两次级声源θ位于模型中180°角时,降噪效果优于单通道有源降噪系统,可达到10~14 dB的降噪效果。
Abstract:
Due to the phenomenon of magnetostriction of power transformer radiating high-decibel noise, seriously affecting the work and life of staff in the station and nearby residents. In this paper, the active noise reduction of power transformer is the goal. By measuring and analyzing the noise components of the transformer, an active noise reduction model of three dipole sources is established, and the optimal angle of the secondary sound source in the model is given. The adaptive filtering algorithm is adopted to simulate the feasibility of active noise reduction for power transformer noise. The DSP dual channel active noise reduction system based on LMS algorithm is constructed and compared with the single-channel noise reduction system. The experimental results show that the noise reduction effect is better than the single-channel active noise reduction system when the secondary sound source θ is located at 180 ° in the model, and the noise reduction effect of 10~14 dB can be achieved.

参考文献/References:

[1] 谭 闻,张小武. 电力变压器噪声研究与控制[J]. 高压电器,2009,45(2):70-72. TAN Wen,ZHANG Xiaowu. Power transformer noise research and control[J]. High Voltage Appliances,2009,45(2):70-72.
[2] 周 兵,裴春明,倪 园,等. 特高压交流变电站噪声测量分析[J]. 高电压技术,2013,39(6):1447-1453. ZHOU Bing,PEI Chunming,NI Yuan,et al. UHV AC substation noise measurement analysis[J]. High Voltage Engineeng,2013,39(6):1447-1453.
[3] 马宏彬,何金良,陈青恒. 500 kV单相电力变压器的振动与噪声波形分析[J]. 高电压技术,2008,33(8):1599-1604. MA Hongbin,HE Jinliang,CHEN Qingheng. Vibration and noise waveform analysis of 500 kV single phase power transformer[J]. High Voltage Engineeng,2008,33(8):1599-1604.
[4] 曲飞雨. 变电站噪声及隔声材料隔声性能研究[D]. 北京:华北电力大学,2017. QU Feiyu. Substation noise and sound insulation performance of sound insulation materials[D]. Beiijing:North China Electric Power University,2017.
[5] 刘姜涛. 电力变压器有源降噪的关键技术研究[D]. 武汉:武汉大学,2012. LIU Jiangtao. Research on key techniques of power transformer active noise reduction[D]. Wuhan:Wuhan University,2012.
[6] OLSON H F,MAY E G. Electronics sound absorber[J]. The Journal of the Acoustical Society of America,1953,25(6): 1130-1136.
[7] LI Xun. Physical systems for the active control of transformer noise[D]. Australia: The University of Adelaide,2000.
[8] BAEK K H,ELLIOTT S J. Natural algorithms for choosing source locations in activejournal of sound and vibration[J]. Journal-of-Sound-and-Vibration,1995,186(2): 245-267.
[9] 赵 彤,梁家碧,夏天翔,等. 基于LMS自适应滤波算法的电力变压器有源降噪系统[J]. 高电压技术,2016,42(7):2299-2307. ZHAO Tong,LIANG Jiabi,XIA Tianxiang,et al. Power transformer active noise canceling system based on lms adaptive filtering algorithm[J]. High Voltage Engineeng,2016,42(7):2299-2307.
[10] 刘姜涛,应黎明. 基于粒子群算法的电力变压器噪声有源控制系统优化[J]. 武汉大学学报,2014,47(4):498-501. LIU Jiangtao,YING Liming. Power transformer noise active control system optimization based on particle swarm optimization[J]. Journal of Wuhan University,2014,47(4):498-505.
[11] 祝丽花,杨庆新,闫荣格,等. 考虑磁致伸缩效应电力变压器动噪声的研究[J]. 电工技术学报,2013,28(4):1-6. ZHU Lihua,YANG Qingxin,YAN Rongge, et al. Research on vibration and noise of magnetostrictive effect power transformer[J]. Transactions of China Electrotechnical Society,2013,28(4):1-6.
[12] 周 彬.电力变压器磁致伸缩效应引发的振动噪声分析[J]. 变压器,2013,50(12):39-43. ZHOU Bin. Analysis of vibration and noise caused by magnetostrictive effect of power transformer[J]. Transformer,2013,50(12):39-43
[13] 姜益民,何洪军.非晶合金铁心变压器振动噪声分析与研究[J]. 变压器,2010,47(10):31-36. JIANG Yimin,HE Hongjun. Analysis and research on vibration and noise of amorphous alloy core transformer[J]. Transformer,2010,47(10):31-36.
[14] 吴晓文,周年光,裴春明,等.特高压交流GIS变电站噪声特性测量与分析[J]. 高压电器,2017,53(6):13-18. WU Xiaowen,ZHOU Nianguang,PEI Chunming,et al. Measurement and analysis of noise characteristics of UHV AC GIS substation[J].High Voltage Appliances,2017,53(6):13-18.
[15] 王小涛. 电力变压器噪声辐射特性研究[D]. 合肥:合肥工业大学,2013. WANG Xiaotao. Study on noise emission characteristics of power transformer[D]. Hefei:Hefei University of Technology,2013.
[16] 马裕超,莫 娟,樊宝珍.220 kV油浸式变压器振动与噪声试验研究[J]. 变压器,2017,54(7):49-55. MA Yuchao,MO Juan,FAN Baozhen. Experimental study on vibration and noise of 220 kV oil-immersed transformer[J]. Transformer,2017,54(7):49-55.
[17] 杜功焕,朱哲民,龚秀芬. 声学基础[M]. 南京:南京大学出版社,2016. DU Gonghuan, ZHU Zhemin, GONG Xiufen. Basics of acoustics[M]. Nanjing: Nanjing University Press, 2016.
[18] 孙恩昌,李于衡. 自适应变步长LMS滤波算法及分析[J]. 系统仿真学报,2007(14):3172-3175. SUN Enchang,LI Yuheng. Adaptive variable step LMS filtering algorithm and analysis[J]. Journal of System Simulation,2007(14):3172-3175.
[19] 李 宁. LMS自适应滤波算法的收敛性能研究与应用[D]. 哈尔滨:哈尔滨工程大学,2009. LI Ning. Research and application of convergence performance of LMS adaptive filtering algorithm[D]. Harbin:Harbin Engineering University,2015.
[20] 夏天翔. 大功率电力变压器智能化有源降噪系统研究[D]. 济南:山东大学,2015. XIA Tianxiang. Research on intelligent active noise reduction system of high power power transformer[D]. Jinan:Shandong University,2015.

备注/Memo

备注/Memo:
收稿日期:2019-11-09; 修回日期:2020-01-14闫孝姮(1984—),女,博士(后),副教授,硕导,主要研究方向为多物理场能量转换、调控、探测与成像。 查鹏程(1993—),男,硕士,主要研究方向变压器有源降噪技术。 刘国强(1971—),男,博士,研究员,博导,主要研究方向为多物理场能量转换、调控、探测与成像(通讯作者)。 张 超(1984—),女,博士,主要研究方向为多物理场能量转换、调控、探测。
更新日期/Last Update: 2020-03-15