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研究生:李嘉文
研究生(外文):Jia-wen Lee
論文名稱:自適應演算法在主動式噪音控制器之應用
論文名稱(外文):Amend Variable Step-size FXLMS Algorithm and Its Application to Active Noise Control Systems
指導教授:翁萬德
指導教授(外文):Wan-de Weng
口試委員:王耀諄竇奇翁萬德劉思竹陳永隆
口試委員(外文):Yaw-Juen WangChie DouWan-de WengSze-chu LiuYoung-Long Chen
口試日期:2014-07-22
學位類別:博士
校院名稱:國立雲林科技大學
系所名稱:工程科技研究所
學門:工程學門
學類:綜合工程學類
論文種類:學術論文
論文出版年:2014
畢業學年度:102
語文別:中文
論文頁數:84
中文關鍵詞:主動式噪音控制聲場回饋
外文關鍵詞:Active Noise ControlAcoustic Feedback
相關次數:
  • 被引用被引用:0
  • 點閱點閱:381
  • 評分評分:
  • 下載下載:69
  • 收藏至我的研究室書目清單書目收藏:1
本論文研究重點主要是針對單/雙通道主動式噪音控制的系統,在未來消除噪音時對於第二徑路產生的聲音回饋問題思考解決之道。我們經過文獻探討進而找尋適用架構[8] 。並且進一步修改其自適應性演算法,將現有FXLMS (filter-X LMS) 演算法的可變步距調整至最佳數值。實驗中在單/多通道部分,我們利用單頻、複頻、寬頻等狀況下進行模擬,並且比較系統收斂的速度及減噪效能比,主要目的在降低濾波器階數,降低硬體實現時的成本。另一方面亦考量未來實際應用,本文在討論實際噪音及未來架構是以台鐵自強號電聯車的怠速聲音做為實際噪音減噪實驗,同時以常見地下月台架構,島式月台為例做為多通道架構的概念。實驗數據及架構可以作為未來我們更進一步優化改善軌道交通噪音之參考,實驗結果亦驗證我們所提出AVS-FXLMS演算法亦較FXLMS為佳。
This thesis is a study focused on single/dual channel active noise control (ANC) system, and attempted to find a solution to the acoustic feedback problem in the second path in the future noise cancellation. First, literature review was conducted to find an applicable architecture [8], and the adaptive algorithm was modified. Then, the variable step size of the existing FXLMS (filter-X LMS) algorithm was adjusted to an optimum value. In terms of single/multichannel in the experiment, the simulation was carried out in single frequency, multifrequency and broadband conditions, and the system convergence rate and noise reduction performance ratio were compared. The purpose was to reduce the filter order and the cost of hardware implementation. On the other hand, the future practical application was considered. The discussion on actual noise and the future architecture used the Electric motor sound of Tzu-Chiang train of Taiwan Railways for noise reduction experiment. The common underground platform architecture, island platform, was used as the concept of multichannel architecture. The experimental data and architecture can serve as the reference for improving the rail traffic noise reduction in the future. The experimental results proved that our AVS-FXLMS algorithm performs better than FXLMS.
目錄

中文摘要 --------------------------------------------------------------------i
英文摘要 -------------------------------------------------------------------ii
誌謝 ------------------------------------------------------------------iii
目錄 -------------------------------------------------------------------iv
表目錄 -------------------------------------------------------------------vi
圖目錄 ------------------------------------------------------------------vii
一、 緒論 1
1.1回顧 1
1.2台鐵的噪音問題 3
1.3研究目的與方法 4
1.4本論文之貢獻 5
1.5各章提要 6
二、 控制原理及架構 7
2.1控制原理 7
2.2控制架構 8
2.2.1回授控制架構 8
2.2.2前饋控制架構 9
2.2.3複合架構 9
2.2.4本文架構 10
2.3控制器 10
2.3.1 FIR濾波器 11
2.3.2 適應性濾波器 12
2.4 多通主動式噪音控制架構描述 13
2.5 聲場回饋 14
三、演算法理論分析及設計 16
3.1演算法理論分析 16
3.2適應性FXLMS演算法 21
3.3最佳演算法AVS LMS (Amend Variable Step size LMS Algorithm) 24
3.4演算法架構 26
3.4.1單通道演算法架構 26
3.4.2多通道演算法架構 30
四、模擬分析 38
4.1最佳實驗架構 38
4.2單通道單頻噪音 39
4.3複頻噪音 46
4.4寬頻噪音 47
4.4多通道單頻噪音 52
4.5多通道複頻噪音模擬分析 64
4.6多通道寬頻噪音模擬分析 68
4.7真實噪音模擬 72
五、 結論與未來研究方向 79
簡歷 84

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