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研究生:蔡志政
研究生(外文):Zhi-Zheng Tsai
論文名稱:虛擬感測技術應用於前饋式主動噪音控制系統
論文名稱(外文):Feedfoward Active Noise Control System with Virtual Sensing Technique
指導教授:林忠逸林忠逸引用關係
口試委員:汪島軍蕭肇殷
口試日期:2017-07-25
學位類別:碩士
校院名稱:國立中興大學
系所名稱:機械工程學系所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:53
中文關鍵詞:主動噪音控制虛擬感測技術線上第二路徑鑑別
外文關鍵詞:active noise controlvirtual sensing techniqueonline secondary path modeling
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傳統主動噪音控制是利用誤差麥克風量測的誤差訊號進行權重更新,但有時候欲消音的位置可能無法擺上麥克風,例如人耳內的鼓膜,此時將無法獲得欲消音位置的誤差訊號,於是本文使用了虛擬感測技術,方法是首先鑑別誤差麥克風到欲消音位置之間的路徑轉移函數,再利用這個轉移函數將誤差麥克風量取的訊號進行轉換,最終利用轉換後的誤差訊號進行權重更新。電腦模擬結果顯示使用離線鑑別的第二路徑以及虛擬感測技術的方法能夠對需求位置進行消音,並且與在欲消音位置擺上誤差麥克風的傳統方法有相近的性能。實驗結果驗證了本文提出的虛擬感測技術的實用性。接著為了避免重新鑑別造成使用上的麻煩,在本文提出的方法中加入線上第二路徑鑑別。電腦模擬結果及實驗結果顯示,本文使用加入線上第二路徑鑑別的方法同樣能對需求的位置進行消音,驗證了文所提出的方法在實際應用的可行性。
In traditional active noise control (ANC) systems, weights of an ANC controller are updated by use of an error signal which is picked up by an error microphone. However, it is sometimes unable to place a microphone at a desired location, like eardrum, for noise reduction. This study proposes a virtual sensing technique in this situation. A path transfer function from an error microphone to the desired location is first identified. Then the transfer function is used with the error microphone to obtain an estimated error signal at the desired location for updating weights in ANC. Results of computer simulation show that the proposed virtual sensing method with an offline identified secondary path transfer function can reduce noise at the desired location effectively and achieve an ANC performance comparable to that of a traditional ANC method. Results of experiments also show an effective ANC performance and support the usage of the virtual sensing technique. Furthermore, we consider incorporating an online secondary path modeling technique into the proposed ANC system. Both results of simulation and experiments show that the ANC system with the proposed virtual sensing method and the online secondary path modeling can still reduce the noise at the desired location well, demonstrating the feasibility of the proposed methods in real ANC applications.
誌謝 i
摘要 ii
ABSTRACT iii
論文目錄 iv
圖目錄 vi
表目錄 vii
第一章 緒論 1
1.1研究動機 1
1.2文獻回顧 2
1.3論文概要 3
第二章 於特定區域之主動噪音控制 4
2.1主動噪音控制描述 4
2.2 FxLMS演算法 5
2.3誤差麥克風不在消音位置上之情況 7
2.4虛擬感測技術 8
2.4.1路徑H鑑別之實驗架構說明 9
2.4.2路徑H鑑別方法步驟 11
2.5 虛擬感測技術之應用 13
2.6 NLMS/CE演算法於使用虛擬感測技術之ANC 14
2.7 加入線上第二路徑鑑別 16
2.8 加入線上第二路徑鑑別與鑑別輔助器 18
第三章 電腦模擬 20
3.1 多頻噪音之模擬 20
3.1.1 使用虛擬感測技術之ANC之模擬 20
3.1.2 傳統ANC之模擬 26
3.1.3 加入線上第二路徑鑑別之模擬 32
3.1.4 同時加入線上第二路徑鑑別與鑑別輔助器之模擬 34
3.1.5 控制喇叭改變位置之模擬 38
3.2 寬頻噪音模擬 40
第四章 實驗 43
4.1實驗架構說明 43
4.2 應用不同方法之ANC實驗 44
4.3同時加入線上第二路徑鑑別與鑑別輔助器之實驗 48
第五章 結論與未來展望 51
5.1結論 51
5.2未來展望 51
參考文獻 52
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