臺灣博碩士論文加值系統

在主動噪音控制系統的實際運用中，使用FxLMS演算法需要得到第二路徑轉移函數，以往第二路徑轉移函數大多以離線鑑別的方式取得，但考慮到系統有改變的情況發生，離線取得的第二路徑轉移函數會變得不準，因此需要發展線上第二路徑鑑別方法來解決此問題。在此本文提出一種新的線上第二路徑鑑別方法，應用最佳可變步長NLMS演算法於控制器及鑑別器中提升線上第二路徑鑑別之主動噪音控制系統的收斂速度與消音性能，並使用補償器補償鑑別過程中的干擾以提升第二路徑鑑別的準確度。在電腦模擬中與既有的方法進行比較且模擬一些變動的情況，如第二路徑改變和第一路徑、第二路徑同時改變，從模擬結果得知本文方法有較好的性能與強健性。

The practical application of active noise control system, using the FxLMS algorithms need to get the transfer function of the secondary path. In the past the second path transfer function is mostly obtained from an off-line identification, but taking into account the system has the change situation occurrence, the transfer function of the secondary path which the off-line identification obtain can become inaccurate. Therefore require the development of online secondary path modeling methods to solve this problem. This study proposes a new online secondary path modeling method applied optimal variable step size NLMS algorithm is at the controller and discriminator to enhance the convergence speed and performance of the online secondary path modeling in active noise control system, and use the compensator compensates interference for the identification process to improve the accuracy of the identification of the secondary path modeling. In the computer simulation with the existing methods and simulation changes, such as the secondary path change and the primary path, the secondary path at the same time change from the simulation results that the proposed method has better performance and robustness.

摘要...............................................................................................................i
ABSTRACT..................................................................................................ii
論文目錄.....................................................................................................iii
圖目錄..........................................................................................................v
表目錄.......................................................................................................viii
第一章 緒論..............................................................................................1
1.1 研究動機..............................................................................................1
1.2 文獻回顧..............................................................................................1
1.3 論文概要..............................................................................................3
第二章 既有的線上第二路徑鑑別方法..................................................4
2.1 主動噪音控制系統描述......................................................................4
2.2 加入白色雜訊的線上第二路徑鑑別方法..........................................7
第三章 最佳可變步長演算法之推導與實現........................................11
3.1 鑑別器之最佳可變步長的推導........................................................11
3.2 控制器之最佳可變步長的推導........................................................15
3.3 線上第二路徑鑑別之主動噪音控制系統的介紹............................19
3.3.1 未補償的線上第二路徑鑑別之主動噪音控制系統................19
3.3.2 具補償的線上第二路徑鑑別之主動噪音控制系統................20
3.4 演算法之實現....................................................................................24
3.4.1 鑑別器ROVSS-NLMS演算法之實現........................................24
3.4.2 控制器ROVSS-NFxLMS/CE演算法之實現..............................26
第四章 主動噪音控制電腦模擬............................................................28
4.1 鑑別器與控制器使用不同演算法之多頻電腦模擬........................32
4.1.1 鑑別器使用不同演算法之多頻電腦模擬................................32
4.1.2 控制器使用不同演算法之多頻電腦模擬................................36
4.2 應用本文推薦之方法使用不同大小白色雜訊之電腦模擬............40
4.3 應用本文推薦之方法使用不同參數之多頻電腦模擬....................43
4.4 應用本文所推薦之方法於路徑改變下的電腦模擬........................48
4.4.1 第二路徑改變............................................................................48
4.4.2 第一路徑及第二路徑同時改變................................................51
4.5 與既有的線上第二路徑鑑別方法之比較........................................54
第五章 結論與未來展望........................................................................63
5.1 結論....................................................................................................63
5.2 未來展望............................................................................................63
參考文獻....................................................................................................64

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