A review of near field acoustic error sensing strategies for active sound radiation control
- Publication Type:
- Conference Proceeding
- Citation:
- 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling, 2018, 1 pp. 585 - 592
- Issue Date:
- 2018-01-01
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| ICSV25_full_paper_xjqiu 180202.pdf | Published version | 491.89 kB |
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© 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling. All rights reserved. When applying active noise control on outdoor large noise sources such as electrical power transformers or large trucks for sound radiation control, it is desirable to keep the error sensors close to the primary noise sources so that whole control system is physically compact. The objective of near field acoustic error sensing strategies is to provide the adaptive controller the information that is proportional to the total radiated sound power or the sound power radiated in a certain direction or at a certain location. Several near field error sensing strategies have been proposed, which include the minimization of acoustic potential energy density, acoustic kinetic energy density, total acoustic energy density and mean active sound intensity at a point and the minimization of the sum of each cost function at a number of points in the near field. In a different way, virtual sensing algorithms have been developed for local active noise control by using virtual or remote microphone techniques, which estimate the error signal at a location that is remote from the physical error sensor with the physical error signal, the control signal and knowledge of the system. Instead of minimizing the physical error signal, the estimated error signal is minimized with the active noise control system to generate a zone of quiet at the virtual location. This paper reviews near field acoustic error sensing strategies that can be used for active control of sound radiation. The existing near field acoustic error sensing strategies are summarized and compared first, and then the limitations of the current research, implementation issues and future directions are discussed.
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