A simplified adaptive feedback active noise control system |
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| Institution: | 1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. Key Laboratory of Modern Acoustics and Institute of Acoustics, Nanjing University, Nanjing 210093, China;3. School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia;1. Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing, China;2. School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia;1. School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;2. Department of Architecture, Design and Media Technology, Aalborg University, DK-9000, Denmark;3. Key Laboratory of Optoelectronic Technology and Systems, Education Ministry of China, Chongqing University, 400044 Chongqing, China;1. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China;2. School of Electrical and Computer Engineering, Royal Melbourne Institute of Technology, Australia;1. College of Information Science and Engineering, Ritsumeikan University, 1-1-1, Noji-higashi, Kusatsu, Shiga, Japan;2. Faculty of Engineering Science, Kansai University, 3-3-35, Yamate-cho, Suita, Osaka, Japan |
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| Abstract: | In the adaptive feedback active noise control system based on the internal model control (IMC) structure, the reference signal is regenerated by synthesizing the error signal and the secondary signal filtered with the estimation of the secondary path, hence more computation load and extra programming are required. Motivated by the engineering truth that the primary noise cannot be completely cancelled in most practical active noise control applications and the error signal still contains some portions of the primary noise, a simplified adaptive feedback active noise control system is proposed in this paper, which adopts the error signal directly as the reference signal in an adaptive feedforward control system and utilizes the leaky filtered-x LMS algorithm to update the controller. The convergence properties of the proposed system are investigated and its advantages are discussed by comparing with other feedback control systems as well as the weakness. Finally, simulations and experiments are carried out to demonstrate the effectiveness of the proposed system. |
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| Keywords: | Active noise control Adaptive feedback Internal model control |
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