한국소음진동공학회논문집 (Transactions of the Korean Society for Noise and Vibration Engineering)

  • 제27권1호
  • /
  • Pages.87-93
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  • 2017
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  • 1598-2785(pISSN)
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  • 2287-5476(eISSN)
한국소음진동공학회 (The Korean Society for Noise and Vibration Engineering)
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타워형 에어컨 송풍기 소음의 능동제어

Active Control of Noise from Fan Blowers in Tower-type Air Conditioners

  • Ryu, Kyungwan (School of Mechanical Engineering, Graduate School of Pusan National University) ;
  • Hong, Chinsuk (School of Mechanical Engineering, Ulsan College) ;
  • Jeong, Wei Bong (School of Mechanical Engineering, Pusan National University)
  • 투고 : 2016.10.27
  • 심사 : 2016.12.19
  • 발행 : 2017.02.20
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초록

This paper investigates active noise control of tower-type air conditioners using the filtered-x least mean square (FXLMS) algorithm to reduce fan blower noise transmission. Firstly, the main components required for the active control system including the error sensor, the control speaker and the reference sensors are selected. Since the noise could significantly reduce if the reference signal includes every frequency response information, a various reference signals from accelerometers and a microphone are used. Secondly, the controller based on the FXLMS algorithm with a single-channel reference signal is implemented. Then, the control performance is examined experimentally for the different reference signals. It is found that the accelerometer signal well possesses the motor vibration related noise and a microphone signal could includes global noise. When using the reference signal with a microphone located near the motor and the fan blower, the active control system reduces the noise globally, except for several peaks.

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참고문헌

  1. Billatos, S. B. and Basaly, N. A., 1997, Green Technology and Design for the Environment, Taylor and Francis, Washington, DC.
  2. Windle, R. J., Wood, S., Shanks, N., Perks, P., Conde, G. L., Costa, A. P. C. da, Ingram, C. D. and Lightman, S. L., 1997, Endocrine and Behavioural Responses to Noise Stress: Comparison of Virgin and Lactating Female Rats during Non-disrupted Material Activity, Journal of Neuroendocrinology, Vol. 9, No. 6, pp. 407-414. https://doi.org/10.1046/j.1365-2826.1997.00587.x
  3. Blazier, W. E., 1997, RC Mark II: A Refined Procedure for Rating the Noise of Heating, Ventilating, and Air-conditioning (HVAC) Systems in Buildings, Noise Control Eng. J., Vol. 45, No. 6, pp. 243-150. https://doi.org/10.3397/1.2828446
  4. Kuo, S. M. and Dennis, R. M., 1996, Active Noise Control Systems: Algorithms and DSP Implementations, John Wiley & Sons, Inc., New York.
  5. Nelson, P. A. and Elliott, S. J., 1994, Active Control of Sound, Academic Press, A Harcourt Science and Technology Company, New York.
  6. Woo, J, H., Kim, I. S., Ih, J. G. and Kim, K. J., 1992, Active Noise Control of the Plane Wave Travelling in a Duct Using Filtered-x LMS Algorithm, Transactions of the Korean Society Noise and Vibration Engineering, Vol. 2, No. 2, pp. 107-116.
  7. Elliott, S. J., Stothers, I. M. and Nelson, P. A., 1987, A Multiple Error LMS Algorithm and Its Application to the Active Control of Sound and Vibration, IEEE Transactions on Acoustics, Speech, and Signal Processing, Vol. ASSP-35, No. 10, pp. 1423-1434.
  8. Elliott, S. J., 2005, Signal Processing for Active Control, Academic Press, A Harcourt Science and Technology Company, New York.
  9. Kwon, O, C., Lee, G. T., Park, S. G. and Lee, J. Y., 2008, Performance Improvement of Active Noise Control Using Co-FXLMS Algorithm, Transactions of the Korean Society Noise and Vibration Engineering, Vol. 18, No. 3, pp. 284-292. https://doi.org/10.5050/KSNVN.2008.18.3.284
  10. Sutton, T. J., 1992, The Active Control of Random Noise in Automative Interiors, Ph.D. Thesis, University of Southampton.