臺灣博碩士論文加值系統

中文摘要

本論文針對一維管道聲場系統，引用一以函數近似法(Function Approximation Technique, FAT)設計出之適應性控制器，在假設控制喇叭至誤差麥克風的延遲時間為已知條件時，利用Lyapunov法則求得適應率並確保閉迴路系統的穩定收斂。在控制器設計方面，也探討了近似誤差、已知近似誤差之邊界與參數漂移(parameter drift)對FAT適應性控制器之影響。最後由實驗結果證明FAT適應性控制器不管在單頻噪音與雙主頻噪音之抑制效能上，皆比LMS與FXLMS適應性演算法有較好的性能表現。

Abstract

In this paper, we use an adaptive controller based on the function approximation technique for the active noise cancellation in a duct. If the delay time in the secondary path is known, the update laws for the weighting vectors can be selected using Lyapunov-like design so that asymptotic convergence of the output error can be proved. We also discuss the effect of the approximation error on the system performance and some modifications are proposed to robustify the design. Experimental results for reduction in the single-frequency noise and dual-frequency noise cases show that the proposed controller can give consistently better performance compared with the LMS and FXLMS strategies.

Keyword：Active noise control, Function Approximation Technique, LMS algorithm, FXLMS algorithm.

中文摘要
英文摘要
誌謝
目錄
圖表索引
第一章 緒論
第二章 一維聲場數學模型建立
2.1 波動方程式的推導
2.2 一維聲場模型建立
第三章 控制器設計
3.1 自適應性控制基礎理論
3.2 適應性演算法
3.3 FXLMS
3.4 FAT適應性控制器
第四章 實驗設備
4.1 實驗架構及相關資料
4.2 噪音消除指標
第五章 實驗結果
5.1 單頻噪音實驗
5.2 雙主頻噪音實驗
5.3 實驗結果與討論
第六章 結論與未來展望
附錄A
附錄B
參考文獻
作者簡介

參考文獻
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