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Research on Temperature Property of Piezoelectric Vibration Accelerometer Based on Cymbal Transducer

机译:基于Cy式传感器的压电振动加速度计温度特性研究

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摘要

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 temperature property of output voltage of this new piezoelectric vibration accelerometer was investigated. Put the temperature sensor DS18B20 into the vibration accelerometer to detect the inner temperature properties of the vibration accelerometer. Using microcomputer to record the static output voltage values and gained the relationship between the temperature and static output voltage. Designed the artificial neural network module and compensated the output voltage error produced by temperature drift. The result showed that the relative error of static output voltage was decreased from 26.73% to 3.66% in the temperature range of -20℃ to 60℃. 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的输出电压的温度特性。将温度传感器DS18B20放入振动加速度计中,以检测振动加速度计的内部温度特性。用微机记录静态输出电压值,得到温度与静态输出电压的关系。设计了人工神经网络模块并补偿了温度漂移产生的输出电压误差。结果表明,在-20℃至60℃的温度范围内,静态输出电压的相对误差从26.73%降低至3.66%。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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