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Research on nonlinearity property of piezoelectric vibration accelerometer based on cymbal transducer

机译:基于c换能器的压电振动加速度计的非线性特性研究

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The new type of piezoelectric vibration accelerometer was studied, which sensitive element is cymbal piezocomposite transducer with 2-(0)-2 connectivity rather than conventional piezoelectric ceramic. The nonlinearity property of output voltage of this new piezoelectric vibration accelerometer was investigated. The measurement circuit was designed. Using microcomputer to record the output voltage values and gain the relationship between the output voltage and the input acceleration. Use partition linear interpolation method and BP artificial neural network method to compensate the nonlinear property of the output voltage sensitivity of the piezoelectric vibration accelerometer. The experimental results show that the nonlinear property of the output voltage sensitivity is improved greatly and the compensation effect based on BP artificial neural network method is better than that of partition linear interpolation method. The compensation method based on the artificial neural network can be used for compensating the temperature properties of output voltage sensitivity of vibration accelerometer.
机译:研究了新型压电振动加速度计,其敏感元件是具有2-(0)-2连接性的c压电复合换能器,而不是传统的压电陶瓷。研究了这种新型压电振动加速度计输出电压的非线性特性。设计了测量电路。用微机记录输出电压值并获得输出电压与输入加速度之间的关系。使用分区线性插值法和BP人工神经网络法来补偿压电振动加速度计的输出电压灵敏度的非线性特性。实验结果表明,输出电压灵敏度的非线性特性得到了很大的改善,基于BP人工神经网络的补偿效果优于分区线性插值法。基于人工神经网络的补偿方法可用于补偿振动加速度计输出电压灵敏度的温度特性。

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