集中系モデルを用いた2次元音響空間の能動騒音制御

Translated title of the contribution: Active noise control for two dimensional acoustic space by concentrated mass model

久野 翔太郎, 石川 諭, 雉本 信哉, 木庭 洋介

Research output: Contribution to journalArticlepeer-review

Abstract

<p>Several adaptive feedforward control methods have been proposed in previous research on active noise control. In those methods, noise control is achieved by adding in a reverse-phase control sound of the same amplitude to noise near an error microphone. Because this method is aimed at controlling only noise near the error microphone, the control area is inherently narrow. Here, we propose an alternative method of noise control for an entire closed space. The proposed method is based on state feedback control and modeling of the acoustic space by the concentrated-mass model. The acoustic space is modeled as masses, connecting springs, and connecting dampers. Further, a loudspeaker as control source is also modeled as a mass-spring-damper system. We previously reported a method for simple one-dimensional acoustic space control. In this paper, we show the design of a control system for two-dimensional acoustic spaces. The acoustic space and loudspeakers are modeled in a concentrated-mass model, and the state feedback control system is realized as a Kalman filter with pole placement. The number of degrees of freedom is reduced by using modal analysis, which reduces the computation time of the controller. Experiments and numerical simulation of the coupled system were conducted to confirm the validity of the analysis model. Noise in the acoustic space was experimentally controlled, with the finding that noise in the entire acoustic space was reduced around the resonance frequencies. Furthermore, the limit of the control effect are considered within the proposed system.</p>
Translated title of the contributionActive noise control for two dimensional acoustic space by concentrated mass model
Original languageJapanese
Pages (from-to)17-00305-17-00305
Journal日本機械学会論文集
Volume83
Issue number854
DOIs
Publication statusPublished - Oct 2017

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