發(fā)布時(shí)間：2018-05-01 13:27

  本文選題：混合噪聲 + 主動(dòng)噪聲控制　； 參考：《自動(dòng)化學(xué)報(bào)》2016年09期

【摘要】：為了提高寬窄帶混合噪聲的消噪效果,本文提出一種基于總體平均經(jīng)驗(yàn)?zāi)B(tài)分解(Ensemble empirical mode decomposition,EEMD)的主動(dòng)噪聲控制(Active noise control,ANC)系統(tǒng),利用實(shí)時(shí)EEMD算法逐段將混合噪聲分解成若干個(gè)固有模態(tài)函數(shù)(Intrinsic mode functions,IMF)分量.因?yàn)檫@些IMF分量的頻帶各不相同,所以實(shí)現(xiàn)了混合噪聲中寬帶分量和窄帶分量的有效分離,獨(dú)立進(jìn)行ANC處理后成功解決了處理混合噪聲時(shí)帶來(lái)的"火花"現(xiàn)象,而且避免了傳統(tǒng)混合ANC(Hybrid ANC,HANC)系統(tǒng)中頻率失調(diào)的影響.EEMD算法也是對(duì)混合噪聲的平穩(wěn)化處理過(guò)程,因此當(dāng)混合噪聲中出現(xiàn)非平穩(wěn)變化時(shí),本文提出的系統(tǒng)也能保持較好的系統(tǒng)穩(wěn)定性.通過(guò)不同噪聲環(huán)境下進(jìn)行仿真分析,提出的ANC系統(tǒng)比HANC系統(tǒng)具有更好的系統(tǒng)穩(wěn)定性和更小的穩(wěn)態(tài)誤差.
[Abstract]:In order to improve the denoising effect of wide-band mixed noise, this paper presents an active noise control ANC system based on the total average empirical mode decomposition (EMD). A real-time EEMD algorithm is used to decompose the mixed noise into intrinsic mode functions (IMFs) components. Because the frequency bands of these IMF components are different, the effective separation of wideband component and narrowband component in mixed noise is realized, and the "spark" phenomenon caused by mixed noise processing is solved successfully after independent ANC processing. It also avoids the influence of frequency misalignment in the traditional hybrid ANC(Hybrid ANC system. The algorithm is also a stationary process for the mixed noise. Therefore, the proposed system can maintain good system stability when there is a non-stationary change in the mixed noise. Through simulation analysis in different noise environment, the proposed ANC system has better system stability and smaller steady-state error than HANC system.
【作者單位】： 哈爾濱工業(yè)大學(xué)電氣工程及自動(dòng)化學(xué)院;
【基金】：國(guó)家自然科學(xué)基金(61171183,61471140) 2012航天支撐基金(01320214) 哈爾濱工業(yè)大學(xué)科研創(chuàng)新基金(HIT.NSRIF201614)資助~~
【分類號(hào)】：TB535

【相似文獻(xiàn)】

相關(guān)期刊論文 前3條

1 閆靚;陳克安;王潔;;混合噪聲總煩惱度模型比較研究[J];噪聲與振動(dòng)控制;2008年04期

2 閆靚;陳克安;王潔;;混合噪聲總煩惱度客觀評(píng)價(jià)及實(shí)驗(yàn)研究[J];西北工業(yè)大學(xué)學(xué)報(bào);2009年03期

3 ;[J];;年期

，

本文編號(hào)：1829566