改良限制條件於粒子群聚演算法於耳罩式耳機之主動式噪音控制

An Active Noise Control of Earmuff-Type Headphone by Improved Constraints Particle Swarm Optimization

蔡耀德(Yau-De Tsai) ； 陳孝武(Shiaw-Wu Chen)

《中華民國振動與噪音工程學會論文集》 2012 (2012/06) Pp. 247-252

https://doi.org/10.30028/CSSVANNUAL.201206.0247

摘要

本研究主要目的為設計一個抗噪耳機，運用裡面的揚聲器，產生一個大小相同的反向聲波，用來將低頻噪音降低，達到降低噪音的效果。耳罩式耳機內部是由誤差麥克風和揚聲器所構成的一個回饋系統。設計控制器前，我們用動態分析儀進行系統識別，取得系統受控體的頻率響應，受控體是非常高階的系統，因誤差麥克風與揚聲器之間的距離造成時間的延遲，聲波的相位會落後，愈高頻聲波的相位差愈多，為非最小相位的系統，所以在設計控制器是非常不容易的。故運用粒子群演算法（Particle Swarm Optimization）結合懲罰函數（penalty function）來搜尋適合控制器的轉移函數參數，透過反失真、重建濾波電路及放大電路來實現回饋式主動式抗噪耳機架構。

關鍵字

主動式噪音控制 ； 粒子群聚演算法 ； 限制條件 ； 懲罰函數

並列摘要

The purpose of this study is to design an anti-noise headphone. Use inside the speaker, producing the contrary of the phase same to the size noise. This noise is reduced low frequency noise, in order to achieve the effect of reducing noise.Design the controller. We use a dynamic analyzer system to identify and obtain the frequency response of the system plant, but plant is Higher order system. Distance caused by the time delay between the error microphone and speaker, cause acoustic phase lag. It is Non-minimum phase systems. So In the design of controllers is not easy.We use of particle swarm algorithm combined with a penalty function to search for a suitable parameters of controller. Through anti-aliasing circuit and reconstruction filter circuit and amplifier, to achieve active noise cancellation headphones architecture.

並列關鍵字

Active Noise Cancellation ； Particle Swarm Algorithm ； Penalty Function