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Design of resonance frequency of smart Helmholtz resonator

机译:智能亥姆霍兹谐振器的共振频率设计

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摘要

In this paper, we carried out the simulation for controlling the resonance frequency of a Helmholtz resonator, which is used for the reduction of noise. The resonance frequency is designed to the desired value by PID control of the acoustic boundary condition of the Helmholtz resonator. The resonator like this is called smart Helmholtz resonator. To realise the desired resonance frequency the gains of the PID controller are determined by the response surface method and the optimisation analysis. It is shown that this method is effective for designing the resonance frequency of the smart Helmholtz resonator. In the latter half of this paper, it is proposed to utilise an artificial neural network (ANN) for designing the resonance frequency. From the numerical simulation, it is confirmed that the mapping between the integral gain K_I and the resonance frequency can be constructed very well by using holographic neural network (HNN).
机译:在本文中,我们进行了控制亥姆霍兹谐振器的谐振频率的模拟,用于减少噪声。 通过PID控制亥姆霍兹谐振器的声边界条件的PID控制设计成谐振频率。 这样的谐振器称为智能亥姆霍兹谐振器。 为了实现所需的谐振频率,PID控制器的增益由响应面方法和优化分析确定。 结果表明,该方法对于设计智能亥姆霍兹谐振器的谐振频率是有效的。 在本文的后半部分中,建议利用用于设计共振频率的人工神经网络(ANN)。 根据数值模拟,通过使用全息神经网络(HNN),确认积分增益K_I和谐振频率之间的映射非常良好。

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