臺灣博碩士論文加值系統

在帶有線上第二路徑鑑別主動噪音控制系統中，需要加入一個白色雜訊作為第二路徑轉移函數鑑別的參考訊號，但在系統穩態時會凸顯白色雜訊的影響，降低系統消音性能。因此本文提出一個新的輔助噪音功率調整(Auxiliary Noise Power Scheduling,簡稱ANPS)方法，依據消音量的變化調整白色雜訊的大小，用以降低白色雜訊在穩態時的影響。本文同時應用縮減型最佳可變步長(Reduced Optimal Varible Step Size ,簡稱ROVSS)演算法來加快線上第二路徑鑑別的收斂速度，並使用鑑別輔助器補償鑑別過程中受到的干擾影響，以提升線上第二路徑鑑別的收斂速度與準確度。本文在控制器也應用縮減型最佳可變步長演算法，提升整體系統的消音性能與強健性。在電腦模擬中可知加入本文輔助噪音功率調整方法可以有效提升系統穩態的消音性能，接著與具指數遞減的功率調整方法比較模擬一些路徑改變的情況，如第二路徑改變和第一路徑與第二路徑同時改變，從模擬的結果得知本文的方法在線上第二路徑鑑別之主動噪音控制系統中，較能處理路徑改變的情況。

In an active noise control (ANC) system with online secondary path modeling, a white noise is added and used as a reference signal to identify a transfer function of the secondary path. However, the white noise will also influence the ANC system in the steady state and reduce the noise reduction performance of the system. Therefore, this study proposes a new auxiliary noise power scheduling (ANPS) to adjust white noise according to the variation level of noise attenuation such that the influence of white noise can reduce in the steady state. Moreover, an auxiliary filter and a reduced optimal variable-step-size (ROVSS) algorithm are used to enhance the convergence speed and accuracy of the filter coefficients adjustment in the secondary path modeling. Another ROVSS algorithm is applied for the ANC controller to improve system performance and robustness. Results of computer simulation show that the proposed ANPS can effectively improve the ANC performance of noise reduction in the steady state. Compared to that of the exponential decay power scheduling method, simulation results show that the proposed ANC method can adapt well with path changes, including the secondary path change, the primary path change, and both paths change at the same time.

誌謝 i
摘要 ii
ABSTRACT iii
論文目錄 iv
圖目錄 vi
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 帶有線上第二路徑鑑別的主動噪音控制系統 4
2.1主動噪音控制系統描述 4
2.2應用常數步長於線上第二路徑鑑別 7
2.3應用鑑別輔助器於線上第二路徑鑑別 10
2.4應用縮減型最佳可變步長於線上第二路徑鑑別 12
2.4.1鑑別器ROVSS演算法之實現 14
2.4.2控制器ROVSS-NFxLMS/CE演算法之實現 16
第三章 輔助噪音功率調整 18
3.1本文輔助噪音功率調整的方法 18
第四章 主動噪音控制電腦模擬 21
4.1應用鑑別輔助器於常數步長演算法之模擬 25
4.2鑑別器與控制器使用不同演算法之模擬 29
4.3應用本文提出ANPS與無ANPS的方法之模擬 32
4.4比較路徑改變之模擬 35
4.4.1第二路徑改變 35
4.4.2第一路徑與第二路徑同時改變 39
4.5與現有方法之比較 43
第五章 結論與未來展望 47
5.1結論 47
5.2未來展望 47
參考文獻 48
附錄A最佳可變步階推導 50
A.1鑑別器之最佳可變步長的推導 50
A.2控制器之最佳可變步長的推導 53

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