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  • 學位論文

利用FxLMS方法設計主動式噪音控制之研究

A Study of Active Noise Control for Vacuum Cleaner Using FxLMS Algorithm

摘要


本研究將針對中央真空集塵器(CVC)系統之噪音,探討利用自適應濾波器理論設計主動式噪音控制系統(ANC),予以達成減低噪音之目的。本研究將採用前饋主動式噪音控制系統,其需一個參考感測器及一個控制器。架構中主要係使用一個麥克風感測器量測主路徑之未知系統之噪音源以及抵銷後之誤差殘餘噪音、及一個控制系統架設於次路徑產生減噪訊號並藉由控制揚聲器傳播。本文依據實際的主動式噪音控制系統機構建立一個離散時間域之數模,並基於此架構設計適當之控制方法。主動式噪音控制系統將利用最基本之產生”反向噪音”訊號,即精確地產生具有與噪音相同的振幅但相反的相位之控制訊號以達成減噪之效果。而且亦進一步嘗試修改常用之最小均方法( LMS)所發展之X濾波最小均方法(Filtered-X LMS),應用於本系統測試驗證其減噪能力。本研究將展示兩種方法之系統模擬結果,據此,可得知之X濾波最小均方法有較佳的效果。

並列摘要


The active noise control system based on adaptive filter theory is considered to use for noise reduction of Central Vacuum Cleaner (CVC). In this thesis, control structure corresponding to the practical setup and the associated control methods are investigated. A feedforward active noise control system is proposed employed with a reference sensor to measure the noise in the primary path and a single secondary path with a control source. The ANC control system is consisted with a primary path with the unknown plant measured by a microphone and a secondary path with control implementation radiated by a control speaker. Based upon such configuration, modeling of a discrete-time ANC control system is established. A basic principle of ANC to introduce a canceling “antinoise” signal with the same amplitude but the exact opposite phase so that resulting in an attenuated residual noise signal is used. The filtered-X LMS algorithm as a modification of the well-known Least-Mean Square (LMS) algorithm is further studied and proposed for noise reduction. Simulation results of both methods are presented. It indicates that the filtered-X LMS algorithm gains better performance.

參考文獻


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被引用紀錄


張富銘(2015)。低衝擊開發規劃與設計之研究〔博士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2015.02913

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