Broadband active noise control using modal properties of 3-dimensional acoustic field (reduction of required memories for a filter map)

Ikuma Ikeda, Shinya Kijimoto, Koichi Matsuda, Yosuke Koba

Research output: Contribution to journalArticle

Abstract

On active noise control in 3-dimensional acoustic field, a control effect becomes worse when an evaluation point moves. Against this problem, we proposed a control algorithm using filter map. Validity of this algorithm was shown by simulations and experiments. To use the method, however, the adaptive filters must be accumulated in a controller so that the required memory becomes large. Therefore, reduction of required memory is necessary. In this paper, a method for the reduction is proposed. In the method, adaptive FIR filters is regarded as superpositions of several modes. At first, modal parameters of an optimal filter are identified. Prony's method and least-square method are used in this identification process. An ANC simulation using the identified parameters is carried out. According to the result, the required memory is reduced about eighty percent. Moreover, an adaptive algorithm is proposed. The algorithm calculates amplitudes of modal parameters. Validity of the adaptive method is shown by simulations and an experiment.

Original languageEnglish
Pages (from-to)1265-1270
Number of pages6
JournalNihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C
Volume76
Issue number765
DOIs
Publication statusPublished - Jan 1 2010

Fingerprint

Active noise control
Acoustic fields
Adaptive filters
Data storage equipment
FIR filters
Adaptive algorithms
Experiments
Controllers

All Science Journal Classification (ASJC) codes

  • Mechanics of Materials
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

Cite this

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abstract = "On active noise control in 3-dimensional acoustic field, a control effect becomes worse when an evaluation point moves. Against this problem, we proposed a control algorithm using filter map. Validity of this algorithm was shown by simulations and experiments. To use the method, however, the adaptive filters must be accumulated in a controller so that the required memory becomes large. Therefore, reduction of required memory is necessary. In this paper, a method for the reduction is proposed. In the method, adaptive FIR filters is regarded as superpositions of several modes. At first, modal parameters of an optimal filter are identified. Prony's method and least-square method are used in this identification process. An ANC simulation using the identified parameters is carried out. According to the result, the required memory is reduced about eighty percent. Moreover, an adaptive algorithm is proposed. The algorithm calculates amplitudes of modal parameters. Validity of the adaptive method is shown by simulations and an experiment.",
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AU - Koba, Yosuke

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