Study on Active Noise Cancellation with Fuzzy Predictive Control

碩士 === 逢甲大學 === 機械工程學系 === 87 === In this paper, we investigate the method of fuzzy predictive control and its apply on active noise cancellation technique. In the fuzzy predictive control, we focus on the process of nonlinear signal handling. We choose the fuzzy control to tra...

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Main Authors: Liang-Yu Liao, 廖俍瑀
Other Authors: Chih-Ching Lo
Format: Others
Language:zh-TW
Published: 1999
Online Access:http://ndltd.ncl.edu.tw/handle/81337248871553663332
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spelling ndltd-TW-087FCU004890122016-02-03T04:32:25Z http://ndltd.ncl.edu.tw/handle/81337248871553663332 Study on Active Noise Cancellation with Fuzzy Predictive Control 模糊預測控制用於主動雜訊消除技術之研究 Liang-Yu Liao 廖俍瑀 碩士 逢甲大學 機械工程學系 87 In this paper, we investigate the method of fuzzy predictive control and its apply on active noise cancellation technique. In the fuzzy predictive control, we focus on the process of nonlinear signal handling. We choose the fuzzy control to track the trajectory of nonlinear signal, and add the predictive control to predict the unknow signal. The signal processing includes the wave compensation and the frequency correction . Based on these techniques , we can generate a wave like the noise which we want to cancel. In the active noise cancellation, we integrate the computer, interface, and some microelectronic circuits to a system which can receive or emit sound wave. With the hardware and software techniques, we can get the same sound wave as the noise, but the phase of the sound wave is inverted. The sound wave is defined as the noise cancellation signal. That can be used to cancel the noise signal. The effectiveness of the proposed method is supported by the experimental results, excluding those for the random and unpredictable high frequency noise. Chih-Ching Lo Chao-Yin Hsiao 羅致卿 蕭肇殷 1999 學位論文 ; thesis 85 zh-TW
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language zh-TW
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description 碩士 === 逢甲大學 === 機械工程學系 === 87 === In this paper, we investigate the method of fuzzy predictive control and its apply on active noise cancellation technique. In the fuzzy predictive control, we focus on the process of nonlinear signal handling. We choose the fuzzy control to track the trajectory of nonlinear signal, and add the predictive control to predict the unknow signal. The signal processing includes the wave compensation and the frequency correction . Based on these techniques , we can generate a wave like the noise which we want to cancel. In the active noise cancellation, we integrate the computer, interface, and some microelectronic circuits to a system which can receive or emit sound wave. With the hardware and software techniques, we can get the same sound wave as the noise, but the phase of the sound wave is inverted. The sound wave is defined as the noise cancellation signal. That can be used to cancel the noise signal. The effectiveness of the proposed method is supported by the experimental results, excluding those for the random and unpredictable high frequency noise.
author2 Chih-Ching Lo
author_facet Chih-Ching Lo
Liang-Yu Liao
廖俍瑀
author Liang-Yu Liao
廖俍瑀
spellingShingle Liang-Yu Liao
廖俍瑀
Study on Active Noise Cancellation with Fuzzy Predictive Control
author_sort Liang-Yu Liao
title Study on Active Noise Cancellation with Fuzzy Predictive Control
title_short Study on Active Noise Cancellation with Fuzzy Predictive Control
title_full Study on Active Noise Cancellation with Fuzzy Predictive Control
title_fullStr Study on Active Noise Cancellation with Fuzzy Predictive Control
title_full_unstemmed Study on Active Noise Cancellation with Fuzzy Predictive Control
title_sort study on active noise cancellation with fuzzy predictive control
publishDate 1999
url http://ndltd.ncl.edu.tw/handle/81337248871553663332
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