ニューラルネットワークを用いたスマートヘルムホルツ共鳴器の共鳴振動数の設計

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タイトル別名
  • Design of Resonance Frequency of Smart Helmholtz Resonator Using Neural Network.
  • ニューラルネットワーク オ モチイタ スマートヘルムホルツ キョウメイキ ノ キョウメイ シンドウスウ ノ セッケイ

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抄録

In the past paper the authors developed the design method for determining the gains of PID controller of Smart Helmholtz Resonator by using Response Surface Method and optimization analysis. This method is the original method by the authors and the details are described in the authors' papers. There, it was concluded that the desired resonance frequency of the resonator can be obtained quite accurately by using the gains from the analysis. However, it was shown that there is the error due to the optimization analysis from error analysis. When using optimization analysis, accuracy and calculation cost becomes key problems. In order to improve this fact it is needed to develop the more accurate method. In this paper it is proposed to utilize Artificial Neural Network (ANN) to improve the accuracy of the obtained resonance frequency. From the numerical simulation it is confirmed that the mapping between the integral gain KI and the resonance frequency can be constructed very well by using Holographic Neural Network (HNN) and the accuracy of the testing is improved by selecting the input and output of the HNN properly.

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