Please use this identifier to cite or link to this item:
標題: 類神經網路於主動式噪音控制之應用-使用頻譜整型之第二路徑
Neural Networks for Active Noise Control-Using Frequency-Shaped Secondary-Path
作者: 陳俊弘
Cheng, Chiung-Hung
關鍵字: Active Noise Control;主動噪音控制;類神經網路;H-infinity 控制理論
出版社: 機械工程學系

This thesis plans to first design a feedback controller for a secondary-path in an active noise control (ANC) system. The feedback controller is designed based on a nominal model of the secondary-path by use of H-infinity control theory. The controlled secondary-path is thus acquired a preliminary capability to reduce noise level and a dynamic characteristic close to that of an ideal secondary-path for later design. A neural network is then designed with a Back-Propagation algorithm based on the controlled secondary path to further reduce noise level. An intelligent ANC controller is finally formed by connected the feedback controller and the neural network in series. Results of computer simulation and experiment show that our proposed ANC controller has a good performance of noise reduction.
Appears in Collections:機械工程學系所

Show full item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.