A Study of Active Noise Control for Vacuum Cleaner Using FxLMS Algorithm
碩士 === 中原大學 === 機械工程研究所 === 98 === 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 f...
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| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/nn3ar4 |
| Summary: | 碩士 === 中原大學 === 機械工程研究所 === 98 === 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.
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